CN113298584A

CN113298584A - Data processing method, device and system

Info

Publication number: CN113298584A
Application number: CN202010367635.0A
Authority: CN
Inventors: 魏宇星
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2020-04-30
Filing date: 2020-04-30
Publication date: 2021-08-24

Abstract

The embodiment of the application provides a data processing method, a device and a system, wherein a plurality of quotation influence types are provided in the embodiment of the application; acquiring quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type; generating a first quotation calculation rule based on at least one quotation influence parameter corresponding to the at least one quotation influence type; determining at least one object to which the first offer calculation rule applies; the first price calculation rule is used for calculating a first price of the target object based on a parameter value of the target object corresponding to the at least one price influence parameter. The technical scheme provided by the embodiment of the application realizes the configuration of the quotation calculation rule and improves the quotation accuracy and flexibility.

Description

Data processing method, device and system

Technical Field

The embodiment of the application relates to the technical field of computer application, in particular to a data processing method, device and system.

Background

From design, production to marketing, the product often needs to set reasonable price quotations. Taking home decoration design products as an example, a product is usually composed of a plurality of components, designers design products in product design software based on models of components that a factory can provide, the products are delivered to the factory for production after design schemes of the products are completed, and the products are delivered to stores for sale after production of the factory is completed, wherein at least the settlement price of the factory, the sale price of the stores and the like are involved.

Because a product relates to a plurality of components, the quotation of one product is often related to the quotation of the component, but the pricing modes of different components are different, some are priced according to areas, some are priced according to linear meters, at present, in order to conveniently quote the product, a plurality of platforms provide the quotation function, and a user can select and use the quotation function by setting a fixed quotation calculation rule so as to provide the quotation according to the selected quotation calculation rule, but the quotation function can only be suitable for a specific scene, in some scenes, such as the quotation scene of home decoration products, because home decoration products relate to a plurality of types of components, the pricing modes are greatly different, and accurate and flexible quotation can not be realized according to the quotation function provided by the current platform.

Disclosure of Invention

The embodiment of the application provides a data processing method, a data processing device and a data processing system, which are used for solving the technical problems that in the prior art, the price reporting function is weak, and accurate and flexible price reporting cannot be realized.

In a first aspect, an embodiment of the present application provides a data processing method, including:

providing a plurality of offer impact types;

acquiring quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type;

generating a first quotation calculation rule based on at least one quotation influence parameter corresponding to the at least one quotation influence type;

determining at least one object to which the first offer calculation rule applies; the first price calculation rule is used for calculating a first price of the target object based on a parameter value of the target object corresponding to the at least one price influence parameter.

In a second aspect, an embodiment of the present application provides a data processing method, including:

providing a display interface;

displaying parameter setting prompt information corresponding to a plurality of quotation influence types in the display interface;

responding to the parameter setting operation of a first user, and determining quotation influence parameters respectively corresponding to at least one quotation influence type;

and sending the quotation influence parameters respectively corresponding to the at least one quotation influence type to a server side, so that the server side generates a first quotation calculation rule based on the quotation influence parameters respectively corresponding to the at least one quotation influence type, and determines at least one object applicable to the first quotation calculation rule.

In a third aspect, an embodiment of the present application provides a data processing method, including:

acquiring a first quotation calculation rule corresponding to any object group; the first quotation calculation rule is generated based on quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type; the set of objects includes at least one object;

responding to a modification operation aiming at the first quotation calculation rule, and sending a modification request to a server side, so that the server side generates a second quotation calculation rule corresponding to the object group based on the modification request; and the second price calculation rule is used for calculating and obtaining a second price of the target object based on the parameter values of the target object in the object group corresponding to at least one price influence parameter respectively.

In a fourth aspect, an embodiment of the present application provides a data processing method, including:

acquiring a product design scheme of a target product, and determining at least one target object related to the product design scheme;

determining a first quotation calculation rule applicable to each target object and a parameter value of at least one quotation influence parameter related to the applicable first quotation calculation rule; the first quotation calculation rule is generated according to quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type;

respectively calculating and obtaining a first price of the at least one target object according to the corresponding first quotation calculation rule and the parameter values corresponding to different quotation influence parameters;

based on the first price of the at least one target object, a first product price of the target product is obtained.

In a fifth aspect, an embodiment of the present application provides a data processing method, including:

determining a second quotation calculation rule applicable to each target object and a parameter value of at least one quotation influence parameter related to the second quotation calculation rule applicable to each target object; the second quotation calculation rule is obtained according to the modification operation of a second user on the first quotation calculation rule; the first quotation calculation rule is generated according to quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type;

respectively calculating to obtain a second price of the at least one target object according to the respective corresponding second quotation calculation rule and the parameter values corresponding to different quotation influence parameters;

obtaining a second product price for the target product based on the second price for the at least one target object.

In a sixth aspect, an embodiment of the present application provides a data processing system, including a first user side and a server side;

the server is used for providing a plurality of quotation influence types for the first user end; obtaining quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type and are sent by the first user side; generating a first quotation calculation rule based on at least one quotation influence parameter corresponding to the at least one quotation influence type, and determining at least one object applicable to the first quotation calculation rule;

the first user end is used for outputting parameter setting prompt information corresponding to the multiple quotation influence types, responding to the parameter setting operation of the first user, determining quotation influence parameters corresponding to at least one quotation influence type respectively, and sending the at least one quotation influence parameter corresponding to the at least one quotation influence type to the server end.

In a seventh aspect, an embodiment of the present application provides a data processing apparatus, including:

a data providing module for providing a plurality of offer impact types;

the parameter acquisition module is used for acquiring quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type;

the first rule generation module is used for generating a first quotation calculation rule based on at least one quotation influence parameter corresponding to the at least one quotation influence type;

an object determination module for determining at least one object to which the first offer calculation rule applies; the first price calculation rule is used for calculating a first price of the target object based on a parameter value of the target object corresponding to the at least one price influence parameter.

In an eighth aspect, an embodiment of the present application provides a data processing apparatus, including:

the interface providing module is used for providing a display interface;

the first prompting module is used for displaying parameter setting prompting information corresponding to a plurality of quotation influence types in the display interface;

the parameter setting module is used for responding to the parameter setting operation of the first user and determining quotation influence parameters respectively corresponding to at least one quotation influence type;

and the first sending module is used for sending the quotation influence parameters respectively corresponding to the at least one quotation influence type to a server side, so that the server side generates a first quotation calculation rule based on the quotation influence parameters respectively corresponding to the at least one quotation influence type, and determines at least one object applicable to the first quotation calculation rule.

In a ninth aspect, an embodiment of the present application provides a data processing apparatus, including:

the rule obtaining module is used for obtaining a first quotation calculation rule corresponding to any object group; the first quotation calculation rule is generated based on quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type; the set of objects includes at least one object;

a rule modification module, configured to send a modification request to a server in response to a modification operation for the first offer calculation rule, so that the server generates a second offer calculation rule corresponding to the object group based on the modification request; and the second price calculation rule is used for calculating and obtaining a second price of the target object based on the parameter values of the target object in the object group corresponding to at least one price influence parameter respectively.

In a tenth aspect, an embodiment of the present application provides a data processing apparatus, including:

the system comprises a first analysis module, a second analysis module and a third analysis module, wherein the first analysis module is used for acquiring a product design scheme of a target product and determining at least one target object related to the product design scheme;

the first extraction module is used for determining a first quotation calculation rule applicable to each target object and a parameter value of at least one quotation influence parameter related to the first quotation calculation rule applicable to each target object; the first quotation calculation rule is generated according to quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type;

the first calculation module is used for respectively calculating and obtaining a first price of the at least one target object according to the corresponding first quotation calculation rule and the parameter values corresponding to different quotation influence parameters;

a second calculation module to obtain a first product price of the target product based on the first price of the at least one target object.

In an eleventh aspect, an embodiment of the present application provides a data processing apparatus, including:

the second analysis module is used for acquiring a product design scheme of a target product and determining at least one target object related to the product design scheme;

the second extraction module is used for determining a second quotation calculation rule applicable to each target object and a parameter value of at least one quotation influence parameter related to the second quotation calculation rule applicable to each target object; the second quotation calculation rule is obtained according to the modification operation of a second user on the first quotation calculation rule; the first quotation calculation rule is generated according to quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type;

the third calculation module is used for respectively calculating and obtaining a second price of the at least one target object according to the respective corresponding second quotation calculation rule and the parameter values corresponding to different quotation influence parameters;

a fourth calculation module to obtain a second product price for the target product based on the second price for the at least one target object.

In a twelfth aspect, an embodiment of the present application provides a computing device, including a processing component and a storage component;

the storage component stores one or more computer instructions; the one or more computer instructions are adapted to be invoked for execution by the processing component to implement the data processing method according to the first aspect.

In a thirteenth aspect, an embodiment of the present application provides an electronic device, including a processing component, a display component, and a storage component;

the storage component stores one or more computer instructions; the one or more computer instructions are adapted to be invoked for execution by the processing component to implement the data processing method according to the second aspect.

In a fourteenth aspect, an embodiment of the present application provides an electronic device, including a processing component, a display component, and a storage component;

the storage component stores one or more computer instructions; the one or more computer instructions are adapted to be invoked for execution by the processing component to implement the data processing method according to the third aspect.

In a fifteenth aspect, a computing device is provided in an embodiment of the present application, comprising a processing component and a storage component;

the storage component stores one or more computer instructions; the one or more computer instructions are adapted to be invoked and executed by the processing component to implement the data processing method according to the fourth aspect.

In a sixteenth aspect, an embodiment of the present application provides a computing device, including a processing component and a storage component;

the storage component stores one or more computer instructions; the one or more computer instructions are adapted to be invoked by the processing component for execution to implement the data processing method according to the fifth aspect.

In the embodiment of the application, a plurality of quotation influence types are provided, and a user can conveniently and autonomously select the quotation influence types and set quotation influence parameters, so that a first quotation calculation rule can be generated according to at least one quotation influence parameter corresponding to at least one quotation influence type configured by the user, and at least one object applicable to the first quotation calculation rule is determined, so that a first price of the object can be calculated and obtained according to the first quotation calculation rule based on a parameter value of the at least one quotation influence parameter corresponding to the object.

These and other aspects of the present application will be more readily apparent from the following description of the embodiments.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 is a flow chart illustrating one embodiment of a data processing method provided herein;

FIG. 2 is a flow chart illustrating a further embodiment of a data processing method provided herein;

fig. 3a to fig. 3c respectively show interface schematic diagrams of display interfaces provided by a first user end in practical application of the embodiment of the present application;

FIG. 4 is a flow chart illustrating a further embodiment of a data processing method provided herein;

FIG. 5 is a flow chart illustrating a further embodiment of a data processing method provided herein;

FIG. 6 is a flow chart illustrating a further embodiment of a data processing method provided herein;

FIG. 7 is a block diagram illustrating one embodiment of a data processing system provided herein;

FIG. 8 is a block diagram illustrating an embodiment of a data processing apparatus provided herein;

FIG. 9 illustrates a schematic structural diagram of one embodiment of a computing device provided herein;

FIG. 10 is a schematic diagram illustrating an architecture of yet another embodiment of a data processing apparatus provided herein;

FIG. 11 is a schematic diagram illustrating an architecture of yet another embodiment of an electronic device;

FIG. 12 is a schematic diagram illustrating an architecture of yet another embodiment of a data processing apparatus provided herein;

FIG. 13 is a schematic diagram illustrating an architecture of yet another embodiment of an electronic device;

FIG. 14 is a schematic diagram illustrating an architecture of yet another embodiment of a data processing apparatus provided herein;

FIG. 15 illustrates a schematic structural diagram of yet another embodiment of a computing device provided herein;

FIG. 16 is a schematic diagram illustrating an architecture of yet another embodiment of a data processing apparatus provided herein;

fig. 17 is a schematic structural diagram illustrating a further embodiment of a computing device provided by the present application.

Detailed Description

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.

In some of the flows described in the specification and claims of this application and in the above-described figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, the number of operations, e.g., 101, 102, etc., merely being used to distinguish between various operations, and the number itself does not represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.

The technical scheme of the embodiment of the application is mainly suitable for quotation scenes of various objects, particularly for the quotation scenes of customized products, because the customized products are often manufactured according to the personalized customization requirements of users, the final prices of the same type of products are different aiming at different customization requirements.

Because the product is usually composed of different parts, the price of the parts directly influences the price of the product, and the pricing modes of the different parts are different, for example, for home decoration product parts, some of the parts are priced according to the area consumption, such as a cabinet body plate, and the price of the unit area is multiplied by the area of the cabinet body plate to obtain the price of the cabinet body plate; some of them are charged according to quantity and dosage, such as drawers, and the price of a single drawer is multiplied by the number of drawers to obtain the price of the drawer. The different materials, areas, volumes or length/width/height of different parts also affect the unit price of the parts, for example, the unit price of a cabinet body plate of walnut is different from that of a cabinet body plate of white oak, the quotation influence factors are numerous, and the quotation is very complicated due to the fact that the quotation is completely calculated manually. At present, for convenience of quotation, quotation functions provided by some platforms can provide some fixed quotation calculation rules for users to select, for example, a usage calculation mode of some types of components is specified, and the users only need to set unit prices. However, these quotation calculation rules may not cover all components, the quotation function is weak, the quotation obtained according to the fixed quotation calculation rules provided by the platform is not accurate, and the flexibility and the expansibility are poor.

In order to improve the accuracy and flexibility of quotation, the inventor provides the technical scheme of the application through a series of researches, in the embodiment of the application, a plurality of quotation influence types are provided, a user can conveniently and autonomously select the quotation influence types and set quotation influence parameters, so that a first quotation calculation rule can be generated according to at least one quotation influence parameter corresponding to at least one quotation influence type configured by the user, at least one object suitable for the first quotation calculation rule is determined, and a first price of the object can be calculated and obtained according to the first quotation calculation rule and based on a parameter value of the at least one quotation influence parameter corresponding to the object.

In order to facilitate understanding of the technical solutions of the present application, the following first explains technical terms that may be involved in the present application:

object: refers to an entity that has a need for an offer, for example in a product offer scenario, an object may refer to a product or a component that makes up a product;

quote impact type: the parameter type is a parameter type affecting the price of the object, and may include, for example, an object offer impact type and an additional offer impact type corresponding to at least one additional factor;

the object offer influence type may include an object pricing type and at least one corresponding object unit price influence type when the object pricing type is a unit price parameter;

the additional offer influence type may include, for example, an additional factor pricing type, and at least one additional factor unit price calculation type corresponding to the additional factor pricing type being a unit price parameter;

the at least one object unit price calculation type may include, for example, an object usage calculation manner, an object pricing unit, and an object unit price influence type;

the at least one additional factor unit price calculation type may include, for example, an additional factor usage calculation manner, an additional factor pricing unit, and an additional factor unit price influence type;

quote impact parameters: the method refers to a specific value of a quotation influence type;

parameter values of the quote impact parameters: the method refers to specific values of quotation influence parameters;

object pricing type: an object offer impact type comprising an object total price parameter and an object unit price parameter; the parameter value of the object total price parameter is the object overall price, and the parameter value of the object unit price parameter is the object unit price;

object usage calculation: an object offer impact type may include, for example, object usage calculation parameters such as height, width, depth, perimeter, frontal area, side area, top area, quantity, linear meters, etc. with parameter values for the object usage calculation parameters being specific measurements, such as a roman column height of 8 meters, etc.

Object unit price impact type: an object price quotation influence type represents a parameter type influencing the unit price of an object, and can comprise object unit price influence parameters such as height, width, depth, material and the like, for example, one object unit price influence parameter can correspond to a plurality of parameter values, and different parameter values can correspond to different object unit prices; the plurality of parameter values of the object unit price influence parameter may be discrete values, interval ranges or field values, for example, the parameter values corresponding to the height may include 4 meters and 8 meters, or [3 meters, 6 meters ], [8 meters and 10 meters ], and the parameter values corresponding to the material may include walnut, oak and the like;

subject pricing unit: an object offer impact type, which represents units of object usage, such as meters, centimeters, square meters, numbers, and the like;

unit price of subject: for example, for a cabinet body plate with the object pricing unit of meter and the usage calculation mode of width, the unit price of the cabinet body plate may be: the cabinet body plate with the width of 1 meter is an XX element;

additional factors are: the factors that cause additional cost due to special design or process manufacturing, such as specific patterns drawn on the cabinet body plate, are referred to. One additional factor may correspond to at least one additional offer impact type; the additional offer influence type is an offer influence type influencing the additional cost of the object.

Additional factor pricing type: an additional quotation influence type is similar to an object pricing type and comprises an additional factor total price parameter and an additional factor unit price parameter, wherein a parameter value of the additional factor total price parameter is an additional factor overall price, and a parameter value of the additional factor unit price parameter is an additional factor unit price;

the calculation mode of the dosage of the additional factors is as follows: an additional quote influence type, similar to the object usage calculation, may include, for example, height, width, depth, perimeter, front view area, side view area, top view area, quantity, linear meter, etc. object usage parameters, and the parameter value of the additional factor usage parameter is a specific usage value, such as 8 meters in height, etc.;

additional factors monovalent influence type: an additional offer influence type, similar to the object unit price influence type, represents a parameter type influencing an additional factor unit price, and may include, for example, additional factor unit price influence parameters such as height, width, depth, material, etc., one additional factor unit price influence parameter may have a plurality of parameter values, and different parameter values may correspond to different unit prices; wherein, the plurality of parameter values of the additional factor unit price influence parameter can be discrete values, interval ranges or field values, for example, the parameter value corresponding to the height can comprise 4 meters and 8 meters, or [3, 6] meters and [8, 10] meters, and the parameter value corresponding to the material can comprise walnut, oak and the like;

additional factor valuation units: an additional offer impact type, similar to an object pricing unit, represents a unit of additional factor usage, such as meters, centimeters, square meters, numbers, etc.;

additional factors are unit price: is an additional factor of unit price.

And (3) quotation calculation rules: the method is a calculation rule which is generated by combining quotation influence parameters and quotation calculation logic and is used for calculating the price;

the offer calculation logic: this is understood to mean a calculation formula, for example unit price per amount (unit price multiplied by amount).

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Fig. 1 is a flowchart of an embodiment of a data processing method provided in an embodiment of the present application, where the method may include the following steps:

101: a plurality of offer impact types are provided.

In practical application, the technical solution of the embodiment can be executed by a server. It is understood that the present invention may also be implemented by a first user, and in a product quotation scenario, the first user may refer to a client for an object provider (e.g., a factory) or a client for an object seller (e.g., a store) or a client for other quotation demanders, and since this document may refer to a plurality of user terminals, which are named as first user terminals for convenience of differentiation, it is understood that the first user may refer to an application or a browser installed in an electronic device (e.g., a mobile phone or a computer, etc.), and the first user of the first user only is to differentiate different user terminals and does not mean that they have other meanings.

Wherein the plurality of offer impact types may be preconfigured.

Alternatively, there may be provided a plurality of offer impact types that impact the offer of an object in an object database, which may store object related information, such as object identification, for different objects for which an offer requirement exists. Since the object is usually an entity, and the data processing process involved in the embodiments of the present application is executed by a computer, it is understood that the object referred to in many places in the description herein usually refers to its virtual form, and the identity of the object is indicated by the object identifier.

The object database may be provided by an object provider, for example, a plant may be provided in connection with its own production capacity and may be updated.

102: obtaining quotation influence parameters respectively set by a first user aiming at least one quotation influence type.

Based on the provided multiple quotation influence types, the user selects at least one quotation influence type according to the quotation requirement of the user, and sets quotation influence parameters respectively.

Therefore, optionally, the obtaining of the offer influence parameters respectively set by the user for the at least one offer influence type may include:

determining at least one offer impact type selected by a first user;

obtaining quotation influence parameters respectively set by a first user aiming at least one quotation influence type.

For user selection, the multiple offer impact types may include a mandatory offer impact type and an optional offer impact type; the optional quotation influence type is an unnecessary type influencing the price of the object and is used for a user to select and use according to the actual quotation requirement.

In an implementation scenario, the technical solution of the present embodiment may be executed by a server, and the server may provide the multiple offer impact types to a first user; the first user end can output parameter setting prompt information corresponding to the plurality of quotation influence types, wherein the parameter setting prompt information is used for prompting a user to select at least one quotation influence type and setting a corresponding quotation influence parameter. The first user terminal may provide a display interface, and the parameter setting prompt information is displayed in the display interface.

Further, providing the first user end with a plurality of offer impact types may be: and providing a plurality of quotation influence types to the first user side based on the quotation setting request sent by the first user side. The offer setting request may be transmitted by the first user terminal in response to an offer setting operation of the first user.

Optionally, before providing the plurality of offer impact types to the first user side based on the offer setting request sent by the first user side, the method may further include:

and outputting the quotation prompt message at the first user end.

The first user end may specifically display the offer prompt information in a display interface thereof, and the offer setting request may be sent by the first user end in response to a trigger operation for the offer prompt information; after receiving the multiple offer influence types provided by the server, the first user side can display the parameter setting prompt information in the display interface.

In addition, the output of the offer prompt message at the first user end may be: when the detection object database is updated, outputting quotation prompt information at the first user end; wherein the quotation setting request is sent by the first user end in response to a triggering operation aiming at the quotation prompt information.

The object database is updated to indicate that the object provider adds an object and the newly added object has a quotation requirement, so that the user can be prompted to set a quotation calculation rule and the like through quotation prompt information.

As can be seen from the foregoing description, in practical applications, the first user may be a client for the object provider or the object seller, and thus, the first user may refer to the object provider, such as a factory finance staff or the object seller, such as a store finance staff.

The first user sets the offer influence parameters respectively for at least one offer influence type, and at least one offer influence parameter can be obtained.

103: and generating a first quotation calculation rule based on at least one quotation influence parameter corresponding to at least one quotation influence type.

Specifically, the first offer calculation rule may be generated based on at least one offer influence parameter corresponding to at least one offer influence type and an offer calculation logic corresponding to the at least one offer influence parameter.

In the first quotation calculation rule, at least one quotation influence parameter is used for acquiring a parameter value corresponding to the object according to the quotation influence parameter, and the parameter value is brought into quotation calculation logic, so that the price of the object can be calculated.

For example, the at least one offer influence type includes an object pricing type and an object usage calculation manner, the at least one offer influence parameter includes an object unit price parameter set for the object pricing type, and a height parameter set for the usage calculation manner, and the offer calculation logic may be, for example: object unit price object height.

As can be seen from the foregoing description, the at least one offer influence type selected by the user may include at least one additional offer influence type corresponding to each of the at least one object offer influence type and the at least one additional factor. Then, based on the at least one offer impact parameter corresponding to the at least one offer impact type, the generating of the first offer calculation rule may be:

generating an object offer calculation rule based on object offer influence parameters respectively set by at least one object offer influence type;

generating an additional quotation calculation rule based on additional quotation influence parameters which are respectively set corresponding to at least one additional quotation influence type by any additional factor, and obtaining at least one additional factor quotation calculation rule;

the first offer calculation rule is formed by the object offer calculation rule and the at least one additional factor offer calculation rule.

The method specifically includes generating an object offer calculation rule based on at least one object offer influence parameter and an offer calculation logic corresponding to the at least one object offer influence parameter;

the additional offer calculation rule may be specifically generated based on at least one additional offer influence parameter corresponding to any one of the additional factors and an offer calculation logic corresponding to the at least one additional offer influence parameter.

104: at least one object is determined for which the first bid calculation rule applies.

The first offer calculation rule may be configured to calculate a first price for the target object based on a parameter value of the target object corresponding to the at least one offer influencing parameter. The target object may be any object to which the first offer calculation rule is applicable.

When the first quotation calculation rule includes an object quotation calculation rule and an additional quotation calculation rule corresponding to at least one additional factor, the object quotation calculation rule may be used to calculate and obtain an object price based on a parameter value of at least one object quotation influence parameter corresponding to the target object. The additional price calculation rule corresponding to each additional factor may be configured to calculate an additional price based on the parameter value of the at least one additional price influencing parameter corresponding to the target object, so as to obtain the at least one additional price, and the first price calculation rule may further specify that an additional fee is obtained based on the at least one additional price, and specifically, the additional fee is obtained by adding up the at least one additional price. The first price of the object can be obtained based on the price of the object and the additional cost, and optionally, the first price of the object can be obtained by accumulating the price of the object and the additional cost.

After determining at least one object to which the first offer calculation rule applies, the first offer calculation rule may be saved corresponding to the at least one object, and optionally, the object identifier may be specifically saved corresponding to the first offer calculation rule. Therefore, the corresponding first quotation calculation rule can be conveniently searched based on the object identification of the target object, and further the price can be calculated according to the first quotation calculation rule.

When the first user side corresponds to the object provider, the first price can be a settlement price provided by the object provider to the object seller; when the first user corresponds to the object seller, the first price may refer to a selling price provided by the object seller to the purchaser.

Wherein the at least one object to which the first offer calculation rule applies may be determined by the first user selection, and thus, optionally, the determining of the at least one object to which the first offer calculation rule applies may include: at least one object selected by the first user for the first bid calculation rule is determined.

The method comprises the steps that object selection prompt information aiming at a first quotation calculation rule is output at a first user end; at least one object selected by the first user is determined based on an object selection request sent by the first user. The object selection prompt message is used for prompting the user to select an object, the object selection prompt message may include an object selection control for selecting an appropriate object, and the object selection request may be sent by the first user end in response to an object selection operation of the first user.

In the embodiment, the independent configuration of the quotation calculation rule is realized, and the personalized configuration of the user is realized, so that quotation can be performed without a fixed quotation calculation rule, and the quotation accuracy and the quotation flexibility can be improved.

In some embodiments, the at least one offer impact type may include an object pricing type; as explained in the foregoing terms, the object pricing type may include an object total price parameter and an object unit price parameter;

if the object pricing type is set as the object total price parameter, determining at least one object for which a bid calculation rule applies may include:

determining at least one object to which a first offer calculation rule applies;

acquiring an object total price value set for at least one object by a first user aiming at an object total price parameter;

respectively storing a first quotation calculation rule and a corresponding object total price value for at least one object;

the first offer calculation rule may be specifically configured to calculate the first price of the object based on the parameter value of the object corresponding to the at least one offer influencing parameter and the corresponding total price value of the object, respectively.

In practical application, when the object pricing type is set as the object total pricing parameter, at least one offer influence type selected by a user may only include the object pricing type, and the object total pricing value corresponding to the object total pricing parameter is the object overall price of the object, and pricing according to usage is not needed. The first offer calculation rule may include: and taking the total price value of the object corresponding to the total price parameter of the object as the first price of the object. For example, when the object is a product, the total price value of the object is the price of the product.

Of course, the at least one offer impact type selected by the user may include at least one additional offer impact type corresponding to at least one additional factor, respectively, in addition to the subject pricing type. The object offer calculation rule in the first offer calculation rule may be: the total object price value set corresponding to the total object price parameter is used as the object price of the object; and the additional price can be calculated and obtained by combining with the additional price calculating rule in the first price calculating rule, so the first price calculating rule can further comprise: the price of the object and the additional cost are added to obtain a first price of the object.

Further, if the object pricing type is set as the object unit price parameter, determining at least one object to which the offer calculation rule applies may include:

acquiring an object unit price value set for at least one object by a first user aiming at the object unit price parameter;

respectively storing a first quotation calculation rule and a corresponding object unit price value for at least one object;

the first quotation calculation rule is specifically used for calculating a first price of the target object based on the parameter value of the target object corresponding to the at least one quotation influence parameter and the corresponding set unit price value.

If the object pricing type is set as the object unit price parameter, the object needs to be priced according to the usage, and therefore the first user is required to set the object unit price value. When the first offer calculation rule is applicable to a plurality of objects, the object unit price values set for the plurality of objects may be the same or different, and optionally, the object unit price values set for the plurality of objects may be the same, so that only one object unit price value needs to be set for the plurality of objects, and object unit price configuration is facilitated.

In addition, if the object pricing type is set as a unit price parameter, the at least one offer influence type may further include an object usage calculation manner, and may further include an object pricing unit, and the like, and the object offer calculation rule in the first offer calculation rule may include: price for the object price per amount of the object. If the first quotation calculation rule only comprises the object quotation calculation rule, the object price is the first price.

In addition, when the at least one offer influence type may further include at least one additional offer influence type corresponding to at least one additional factor, the at least one offer influence type selected by the user may further include at least one additional offer influence type corresponding to at least one additional factor, in addition to the object pricing type, the object usage calculation method, and the like. The additional price can be calculated and obtained by combining the additional price calculation rule in the first price calculation rule, so the first price of the object can be obtained by adding the price of the object and the additional price in the first price calculation rule.

Optionally, when the at least one offer impact type includes an object pricing type and the object type is set as an object unit price parameter, in some embodiments, the at least one offer impact type further includes an object unit price impact type;

the acquiring of the object unit price value set by the first user for the object unit price parameter for at least one object comprises:

acquiring a plurality of parameter values corresponding to object unit price influence parameters set for the object unit price influence types; the plurality of parameter values corresponding to each unit price influence parameter of each object can be preset.

And acquiring object unit price values which are set for at least one object by the first user corresponding to the plurality of parameter values respectively.

The object unit price in the first price calculation rule is specifically the value of the object unit price determined based on the parameter value of the target object corresponding to the object unit price influence parameter.

In some embodiments, the at least one offer impact type may further include at least one additional offer impact type corresponding to each of the at least one additional factor, and when the at least one additional offer impact type corresponding to any one additional factor includes an additional factor pricing type, as will be understood from the foregoing explanation of terms, the additional factor pricing type may include an additional factor total price parameter and an additional factor unit price parameter; therefore, if the additional factor pricing type corresponding to any additional factor is set as the additional factor total price parameter, the method may further include:

acquiring an additional factor total price parameter of the first user aiming at any additional factor, and setting an additional factor total price value for at least one object;

respectively storing a first quotation calculation rule and an additional factor total price value corresponding to any one additional factor for at least one object;

the additional factor offer calculation rule for the any one additional factor in the first offer calculation rule is used for calculating the additional price for obtaining the any one additional factor according to the total value of the additional factors of the any one additional factor. Alternatively, the first offer calculation rule may specify that the additional price of any one of the additional factors is the total value of the additional factors of any one of the additional factors.

In addition, if the additional factor pricing type corresponding to any additional factor is set as the additional factor unit price parameter, the method may further include:

acquiring an additional factor unit price parameter of the first user for any additional factor, and setting an additional factor unit price value for at least one object;

respectively storing a first quotation calculation rule and an additional factor unit price value corresponding to any one additional factor for at least one object;

the additional factor offer calculation rule for the any one additional factor in the first offer calculation rule may be used to calculate an additional price for obtaining the any one additional factor based on the additional factor unit price value of the any one additional factor.

The at least one offer influence type may include, in addition to the additional factor pricing type corresponding to any one of the additional factors, an additional factor usage calculation manner corresponding to any one of the additional factors, so that the additional factor offer calculation rule for any one of the additional factors may include: additional price-additional factor unit price-additional factor usage.

Optionally, when the at least one offer influence type includes an additional pricing type corresponding to any one additional factor and the additional pricing type is set as an additional factor unit price parameter, in some embodiments, the at least one offer influence type may further include an additional factor unit price influence type corresponding to any one additional factor;

acquiring an additional factor unit price parameter of the first user for any additional factor, wherein the additional factor unit price value set for the at least one object may include:

acquiring a plurality of parameter values corresponding to additional factor unit price influence parameters correspondingly set for any additional factor; a plurality of parameter values corresponding to each additional factor unit price influence parameter can be preset;

and acquiring additional factor unit price values which are set for at least one object by the first user corresponding to a plurality of parameter values corresponding to any additional factor respectively.

The additional factor unit price in the offer calculation logic corresponding to any additional factor is the additional factor unit price value determined based on the parameter value of the object corresponding to the additional factor unit price influence parameter.

The above is merely an example of possible implementations of at least one type of price quotation effect, and it should be noted that the present application is not limited to the above possible implementations.

A plurality of first offer calculation rules may be generated according to the operations of steps 101 to 104, and in some embodiments, the method may further include:

outputting rule prompt information of at least one first quotation calculation rule;

and detecting an updating request aiming at any rule prompt information, and updating the corresponding first quotation calculation rule.

The rule prompt information of at least one first quotation calculation rule can be displayed in a display interface of the first user terminal; the update request for any of the rule hint information can be sent by the first user terminal in response to an update operation for any of the rule hint information.

The update request may include update content, so that the corresponding first offer calculation rule may be updated according to the update content.

For convenience of management, after determining at least one object to which the first offer calculation rule applies, the method may further include:

dividing the at least one object into an object group;

determining the object class to which the object group belongs;

and outputting rule prompt information of the first quotation calculation rule respectively applicable to different object groups in different object categories based on the rule viewing request.

Alternatively, the rule prompt information of the first bid calculation rule respectively applicable to different object groups in different object categories may be output in a list form at the first user end.

For the rule prompt information, the user may trigger an update operation to implement an update of any of the first offer calculation rules.

The rule prompt information may include a rule update control, and the update prompt information of the first offer calculation rule may be output for a trigger operation of the rule update control, where the update operation may specifically be a trigger operation for the update prompt information. In addition, a rule viewing control can be further included, and through the triggering operation aiming at the rule viewing control, the detailed content of the corresponding first quotation calculation rule can be output so as to facilitate the viewing of a user and the like.

Further, in some embodiments, the method may further comprise:

grouping objects corresponding to the object database to obtain at least one object group; each object group comprises at least one object;

providing a plurality of offer impact types may include:

providing a plurality of offer impact types based on an offer setting request for any one of the object groups;

determining at least one object to which the first bid calculation rule applies may include:

the any one object group to which the first offer calculation rule applies is determined.

That is, the objects corresponding to the object database may be grouped in advance, and the corresponding first offer calculation rule may be set for each object group.

In some embodiments, grouping the objects in the object library, and obtaining at least one object group may include:

and grouping the objects in the object library to obtain at least one object group based on the grouping setting request.

The group setup request may be sent by the first user terminal based on a group operation triggered by the first user. Therefore, before grouping the objects in the object library to obtain at least one object group, the method may further include:

outputting grouping prompt information at a first user end;

and responding to the grouping operation triggered by the first user, and sending a grouping setting request to the server.

The group setting request may include an object identifier and the like provided by the user and used for dividing at least one object into the same object group, so that the server divides the at least one object into the same object group.

Since the first price calculation rule can be used to calculate the first price of the target object, in a practical application, the first price can refer to the settlement price provided by the object provider to the object seller, and since the object seller needs to obtain corresponding profit when selling, the object seller also has the object price demand. In some embodiments, the method may further comprise:

sending a first quotation calculation rule corresponding to at least one object to a second user end;

generating a second quotation calculation rule corresponding to at least one object based on a modification request of the first quotation calculation rule sent by a second user end; the second price calculation rule is used for calculating a second price of the target object based on the parameter values of the target object respectively corresponding to the at least one price influence parameter.

The second user side can be the user side used by the object seller, the object seller can obtain the second price calculation rule for calculating the second price only by correspondingly modifying the first price calculation rule, and the second price can be the sales price provided by the object seller to the purchaser.

In some embodiments, generating a second price quotation calculation rule corresponding to the at least one object based on the modification request for the first price quotation calculation rule sent by the second user terminal includes:

determining a floating coefficient based on a modification request of the first quotation calculation rule sent by the second user terminal;

and generating a second quotation calculation rule based on the floating coefficient and the first quotation calculation rule.

Optionally, the floating factor may be included in the modification request, i.e. provided by the second user to trigger the modification of the first price quote calculation rule.

Further, as another alternative, determining a floating coefficient based on the modification request for the first offer calculation rule sent by the second user terminal may include:

and determining a corresponding floating coefficient according to the object group to which the at least one object belongs based on a modification request of the first quotation calculation rule sent by the second user terminal.

Since at least one object applicable to the same first price computing rule may be divided into an object group, the object group may refer to a group of the object group in which the at least one object is located, such as a "floor cabinet" object group, a "roman column" object group, and the like.

The floating coefficients corresponding to different object groups can be configured in advance, or generated by dynamic adjustment in combination with adjustment factors of actual conditions. For example, the floating coefficient may be dynamically generated according to environmental factors such as a price offering time and a price offering season, or adjustment factors such as a sales data amount corresponding to the second user, for example, in a busy sales season such as summer, the floating coefficient may be adjusted to a larger value, in a slack sales season of 12 months, the floating coefficient may be adjusted to a smaller value, or when the current sales data amount is smaller, the floating coefficient may be adjusted to a smaller value.

Alternatively, the float coefficient may be an overall float coefficient; the second offer calculation rule may include: the second price is the first price and the overall floating coefficient.

Alternatively, since the first price includes the price of the object and the additional fee, the floating coefficient may include a floating coefficient of the total price of the object; the object price in the first price is multiplied by the object total price floating system to obtain the object price in the second price;

optionally, the floating coefficient may include an additional factor total price floating coefficient, and the additional fee in the second price may be obtained by multiplying the additional fee in the second price by the additional factor total price floating coefficient.

Optionally, when the first offer calculation rule includes an object unit price parameter and an object unit price value, the modification request may include an object unit price floating coefficient corresponding to a different parameter value of the object unit price influencing parameter, and the second offer calculation rule is different from the first offer calculation rule in that the object unit price value corresponding to any parameter value of the unit price influencing parameter in the first offer calculation rule is multiplied by the object unit price floating coefficient to serve as the object unit price value corresponding to any parameter value in the second offer calculation rule;

in addition, when the first quotation calculation rule includes the additional factor unit price value, the modification request may include an additional factor unit price floating coefficient corresponding to a different parameter value of the additional factor unit price influencing parameter, and the second quotation calculation rule is different from the first quotation calculation rule in that the additional factor unit price value corresponding to any parameter value of the additional factor unit price influencing parameter in the first quotation calculation rule is multiplied by the additional factor floating coefficient to serve as the additional factor unit price value corresponding to any parameter value in the second quotation calculation rule.

Of course, one or more of the overall floating coefficient, the object total price floating coefficient, the additional factor floating coefficient, the object unit price floating coefficient, and the additional factor floating coefficient may be included in the modification request.

Fig. 2 is a flowchart of another embodiment of a data processing method according to an embodiment of the present application, where the technical solution of this embodiment may be executed by a first user end, and the method may include the following steps:

201: providing a display interface;

202: and displaying parameter setting prompt information corresponding to the multiple quotation influence types in a display interface.

Optionally, displaying, in the display interface, parameter setting prompt information corresponding to the multiple offer influence types may include:

displaying a quotation prompt message in a display interface;

and responding to the trigger operation aiming at the quotation prompt information, and displaying the setting prompt information corresponding to the plurality of quotation influence types in the display interface.

The quotation prompt message can be used for triggering the first user side to display the quotation prompt message when the server side detection object database is updated.

203: and determining quotation influence parameters respectively corresponding to at least one quotation influence type in response to the parameter setting operation of the first user.

204: and sending the quotation influence parameters respectively corresponding to the at least one quotation influence type to the server side so that the server side generates a first quotation calculation rule based on the quotation influence parameters respectively corresponding to the at least one quotation influence type, and determining at least one object suitable for the first quotation calculation rule.

For easy understanding, as shown in fig. 3a, a display diagram of a display interface provided by the first user end in an actual application is shown, and the display interface may include parameter setting prompt information 301;

the parameter setting prompt message may include setting prompt messages 302 corresponding to a plurality of offer influence types.

For different offer influence types, the user may input corresponding offer influence parameters, or may provide multiple parameter options for the user to select, so that the setting prompt information corresponding to each offer influence type may include a parameter input control or a parameter selection control, and the like, which is not specifically limited by the present application.

In some embodiments, the method may further comprise:

displaying object selection prompt information aiming at the first quotation calculation rule in a display interface;

and responding to the object selection operation of the first user, sending an object selection request to the server, so that the server determines at least one object selected by the first user and stores a first quotation calculation rule corresponding to the at least one object.

Optionally, a parameter submission control 303 may also be displayed in the display interface shown in fig. 3 a.

The first user side can send the quotation influence parameters respectively set by at least one quotation influence type to the server side in response to the triggering operation of the parameter submitting control.

Optionally, the first user side may display the object selection prompt information for the first offer calculation rule in the display interface, where the object selection prompt information for the first offer calculation rule is obtained by the server side after the first user side sends the offer influence parameters respectively corresponding to at least one offer influence type to the server side, and the object selection prompt information is displayed in the display interface.

In the display diagram of the display interface as shown in fig. 3b, an object selection prompt 304 displayed in the display interface is shown.

The object selection prompt message may include an object selection control for providing different object options, so that the user may select at least one object to which the first price quotation calculation rule applies, where the different object options may include an object identifier, such as an object name; of course, the object input control can be included, and the user inputs the object identification of at least one object, such as the object name.

The display interface of fig. 3b may further include an object submission control 305, so that the first user end may determine at least one object selected by the user in response to an object selection operation of the first user, and send an object selection request to the server end when a trigger operation for the object submission control 305 is detected, where the object selection request may include an object identifier of the at least one object selected by the first user.

It should be noted that, in the display interface shown in fig. 3a or fig. 3b, in order to implement some necessary operations, some other operation controls may be displayed, such as a saving control for triggering and saving the current interface content, a returning control for triggering and returning to the upper level page content, a canceling control for canceling the current user configuration content, and the like, which is not limited in this application.

Further, in some embodiments, the at least one offer impact type may include an object pricing type; since the object pricing type can be set as an object total price parameter and an object unit price parameter. And setting corresponding price information when the quotation calculation rule is made according to different object pricing parameters.

Thus, in some embodiments, when the object pricing type is set as a unit price parameter, the method may further comprise:

displaying object total price setting prompt information in a display interface;

and responding to the object total price setting operation of the first user, and sending object total price values corresponding to at least one object to the server side so that the server side can store the quotation calculation rule and the corresponding object total price values for the at least one object.

Since the total object price values corresponding to different objects may be different, the total object price setting prompt information may include total object price prompt information corresponding to at least one object, so as to prompt the user to set the total object price value of each object, and the total object price setting operation performed by the first user includes a total object price setting operation for each object.

The first user may send an object selection request to the server in response to an object selection operation of the first user, and then display object total price setting prompt information in the display interface to gradually prompt the user to perform configuration.

In some embodiments, when the object pricing type is set as a unit price parameter, the method may further include:

displaying object unit price setting prompt information in a display interface;

and responding to the object unit price setting operation of the first user, and sending an object unit price value corresponding to at least one object to the server, so that the server stores a quotation calculation rule and the corresponding object unit price value for the at least one object respectively.

Alternatively, the first user side may display the object unit price setting prompt information in the display interface after sending the object selection request to the server side in response to the object selection operation of the first user.

The at least one object selected by the first user and applicable to the first quotation calculation rule can be automatically divided into an object group, and at least one quotation influence parameter corresponding to the objects belonging to the same object group is the same. The unit price values corresponding to the objects in the same object group may be the same or different, so the unit price setting prompt information may prompt the user to set the unit price values for the object group, and certainly, the unit price setting prompt information may also include unit price prompt information corresponding to different objects in the object group to prompt the user to set the unit price values for different objects.

When the object pricing type is set as a unit price parameter, the at least one offer influence type selected by the first user may further include an object usage amount calculation mode, and the product of the unit price of the object and the object usage amount is the price corresponding to the object usage amount.

In addition, in some embodiments, when the object pricing type is set as a unit price parameter, the object unit price influence type may be further included in the at least one offer influence type; displaying the unit price setting prompt information in the display interface may include:

determining an object unit price influence parameter set by the object unit price influence type;

and displaying object unit price setting prompt information corresponding to a plurality of parameter values of the object unit price influence parameters in a display interface.

The unit price values corresponding to different parameter values of the same object group may be the same, and therefore, the unit price setting prompt information may be used to prompt that the corresponding unit price values are set for the same object group.

Of course, the unit price values corresponding to different parameter values of the same object group may be different, and the unit price setting prompt information corresponding to each parameter value includes unit price prompt information corresponding to different objects, so as to prompt that unit price values are respectively set for different objects according to the parameter value.

As shown in fig. 3c, the display interface shows object price setting content 306 for the same object group, including object unit price setting prompt information 307 corresponding to each of a plurality of parameter values of the object unit price influencing parameter, and may further include price quotation influencing parameters such as an object usage calculating method, an object pricing unit, and an object unit price influencing type, which are set correspondingly, so as to facilitate configuration checking and the like for a user.

In addition, in some embodiments, at least one additional offer influence type corresponding to at least one additional factor may be included in the at least one offer influence type;

wherein, when at least one additional quotation influence type corresponding to any additional factor comprises an additional factor pricing type and the additional factor pricing type is set as an additional factor total price parameter, the method further comprises the following steps:

displaying additional factor total price setting prompt information of any additional factor in a display interface;

and responding to the additional factor total price setting operation of the first user, and sending the additional factor total price value corresponding to any additional factor to the server, so that the server stores the first quotation calculation rule and the additional factor total price value corresponding to any additional factor for at least one object respectively.

The additional factor total price setting prompt information of any additional factor can be an object unit price value corresponding to at least one object sent to the server by the first user in response to the object unit price setting operation of the first user; or responding to the object total price setting operation of the first user, and displaying in a display interface after sending the object total price value corresponding to at least one object to the server.

Of course, the object unit price setting prompt information or the object total price setting prompt information may be displayed on the display interface, and the additional factor total price setting prompt information of any additional factor may be displayed.

Or the object unit price setting prompt information or the object total price setting prompt information is displayed in the display interface, and the additional price switching prompt information is displayed in the display interface, so that the additional factor total price setting prompt information of any additional factor can be displayed in the display interface aiming at the triggering operation of the additional price switching prompt information. As shown in fig. 3c, the price switching prompt message 308 is added, and of course, the object price switching prompt message 309 may also be displayed in the display interface, and the object price setting content 306 may be displayed in the display interface for the trigger operation of the object price switching prompt message 308.

In addition, in some embodiments, when the at least one additional offer influence type corresponding to any one additional factor includes an additional factor pricing type, and the additional factor pricing type is set as an additional factor unit price parameter, the method may further include:

displaying additional factor unit price setting prompt information of any additional factor in a display interface;

and responding to the additional factor unit price setting operation of the first user, and sending the additional factor unit price value corresponding to any additional factor to the server, so that the server stores the first quotation calculation rule and the additional factor unit price value corresponding to any additional factor for at least one object respectively.

The additional factor unit price setting prompt information of any additional factor may be after the first user sends an object unit price value corresponding to at least one object to the server in response to the object unit price setting operation of the first user; or responding to the object total price setting operation of the first user, and displaying in a display interface after sending the object total price value corresponding to at least one object to the server.

Of course, the object unit price setting prompt information or the object total price setting prompt information may be displayed on the display interface, and the additional factor unit price setting prompt information of any additional factor may be displayed.

Or the object unit price setting prompt information or the object total price setting prompt information is displayed in the display interface, and the additional price switching prompt information is displayed in the display interface, so that the additional factor unit price setting prompt information of any additional factor can be displayed in the display interface aiming at the trigger operation of the additional price switching prompt information.

In some embodiments, the at least one additional offer impact type corresponding to any one additional factor may further include an additional factor unit price impact type;

the additional factor unit price setting prompt information for displaying any one of the additional factors in the display interface may include:

and determining a plurality of parameter values corresponding to the additional factor unit price influence parameter set by any additional factor, and displaying additional factor unit price setting prompt information corresponding to the plurality of parameter values in a display interface.

Optionally, when the additional factor pricing type corresponding to any additional factor is an additional factor unit price parameter, at least one additional offer influence type may further include an additional factor usage calculation manner, an additional factor pricing unit, and the like.

Additionally, in some embodiments, the method may further comprise:

displaying rule prompt information corresponding to at least one first quotation calculation rule in a display interface;

and in response to the updating operation triggered by any rule prompt message, requesting the server to update the corresponding first quotation calculation rule.

Optionally, rule prompt information corresponding to each of the at least one first offer calculation rule may be displayed in the display interface based on the rule viewing request of the first user.

The rule prompt information comprises a group identifier of an object group corresponding to the first quotation calculation rule and quotation influence parameters, and the quotation influence parameters comprise object pricing parameters, and unit price values when the object pricing parameters are unit price parameters or total price values when the object pricing parameters are total price parameters and the like. In addition, the rule prompt information may further include an edit control, an update control, a view control, or a delete control.

The update operation triggered by any rule prompt information may be a trigger operation for an update control in any rule prompt information.

The editing control can be used for triggering continuous configuration of the first offer calculation rule which is not configured, the viewing control can be used for triggering viewing of the detailed content of the first offer calculation rule, and the deleting control can be used for deleting the first offer calculation rule and the like.

In some embodiments, displaying rule prompt information corresponding to each of the at least one first offer calculation rule in the display interface may include:

displaying rule prompt information of first quotation calculation rules respectively applicable to different object groups in different object categories in a display interface;

the server side can divide at least one object which is suitable for the same first quotation calculation rule into an object group, and determine the object class of the object group. Therefore, the rule prompt information of different first quotation calculation rules can be displayed on the display interface according to the object categories.

For example, for a "floor cabinet" object group, the object class to which it belongs may be a "cabinet body". For the "roman post" object group, the object category to which it belongs may be "decorative part" or the like.

In addition, the first user may also perform object grouping first, and perform configuration of the first offer calculation rule for different object groups, so that, in some embodiments, before the parameter setting prompt information corresponding to the multiple offer influence types is displayed in the display interface, the method may further include:

displaying object grouping prompt information in a display interface;

responding to grouping operation aiming at grouping prompt information, and sending a grouping setting request to a server so that the server can conveniently group objects in an object library to obtain at least one object group;

displaying the setting prompt information corresponding to the multiple offer influence types in the display interface may include:

and responding to the quotation setting operation aiming at any object group, and displaying parameter setting prompt information corresponding to a plurality of quotation influence types in a display interface.

Optionally, in response to a grouping operation for the grouping prompt information, a grouping setting request is sent to the server, so that after the server groups the objects in the object library to obtain at least one object group, the offer prompt information corresponding to different object groups may be displayed in the display interface.

Therefore, the quotation setting operation for any one object group can specifically refer to the triggering operation of the quotation prompt message corresponding to any one object group.

Fig. 4 is a flowchart of another embodiment of a data processing method provided in an embodiment of the present application, where the technical solution of this embodiment may be executed by a second user end, and may include the following steps:

401: and acquiring a first quotation calculation rule corresponding to any object group.

The first quotation calculation rule is generated based on quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type; the any one object group includes at least one object.

402: and sending a modification request to the server in response to the modification operation aiming at the first quotation calculation rule.

The server side can generate a second quotation calculation rule corresponding to the object group based on the modification request; and the second price calculation rule is used for calculating and obtaining a second price of the target object based on the parameter values of the target object in the object group, which respectively correspond to at least one price influence parameter.

The modification request may include modified content, so that the service end obtains the second price quotation calculation rule based on the modified content and the first price quotation calculation rule.

Optionally, modification prompt information corresponding to the first offer calculation rule may be first output, where the modification prompt information is used to prompt modification of the first offer calculation rule.

The modification operation may specifically refer to a trigger operation for the modification prompt information.

As an alternative, in order to facilitate configuration of the second price quote calculation rule, sending a modification request to the server in response to a modification operation for the first price quote calculation rule includes:

determining a floating coefficient in response to a modification operation to the first quote calculation rule;

sending a modification request comprising the floating coefficient to the server side, so that the server side generates a second quotation calculation rule based on the floating coefficient and the first quotation calculation rule;

and the second price calculation rule is used for calculating and obtaining a second price of the target object based on the first price and the floating coefficient of the target object calculated and obtained according to the first price calculation rule.

As another alternative, the modification request may specifically trigger the server to determine a floating coefficient corresponding to any one of the object groups, and generate a second price quotation calculation rule based on the floating coefficient and the first price quotation calculation rule.

The floating coefficient corresponding to the object group may be configured in advance or generated by dynamic adjustment in combination with an adjustment factor in an actual situation, for example, the adjustment factor may include an environmental factor such as a quote time, a quote season, or the like, or a sales data amount corresponding to the second user, or the like.

Optionally, the floating coefficient may include one or more of an object total price floating coefficient, an object unit price floating coefficient, an additional factor total price floating coefficient, and an additional factor unit price floating coefficient.

Since the first price includes the object price and the additional fee, the second user can set the object total price floating system, and the object price in the first price is multiplied by the object total price floating system to obtain the object price in the second price; the second user may also set an additional factor unit price floating coefficient, and the additional fee in the second price may be obtained by multiplying the additional fee in the second price by the additional factor total price floating coefficient.

Of course, when the object price is obtained based on the object unit price and the object usage amount, the second user may also set an object unit price floating coefficient, and the object unit price value in the second offer calculation rule may be obtained by multiplying the object unit price value in the first offer calculation rule by the object unit price floating coefficient. The second user may also set an object unit price floating coefficient respectively for different parameter values of the object unit price influencing parameter, so that the object unit price value corresponding to the parameter value of any one object unit price influencing parameter in the first offer calculation rule is multiplied by the corresponding object unit price floating coefficient, and the object unit price value corresponding to the parameter value of any one object unit price influencing parameter in the second offer calculation rule can be obtained.

When the additional factor price is obtained by calculation based on the additional factor unit price and the additional factor usage, the second user may set an additional factor unit price floating coefficient, and the additional factor unit price value in the second offer calculation rule may be obtained by multiplying the additional factor unit price value in the first offer calculation rule by the additional factor unit price floating coefficient. The second user may further set additional factor unit price floating coefficients for different parameter values of the additional factor unit price influencing parameters, so that the additional factor unit price value corresponding to the parameter value of any one additional factor unit price influencing parameter in the first offer calculation rule is multiplied by the corresponding additional factor unit price floating coefficient, and the additional factor unit price value corresponding to the parameter value of any one additional factor unit price influencing parameter in the second offer calculation rule can be obtained.

In practical application, the first user side can correspond to an object provider, the second user side can correspond to an object seller, the object seller can directly modify the first quotation calculation rule configured by the object provider, for example, a floating coefficient is set by combining the profit requirement of the object seller, the second quotation calculation rule can be obtained, rule configuration does not need to be carried out again, and the object seller is convenient to use.

The first quotation calculation rule and the second quotation calculation rule obtained in the previous embodiments can be used in the quotation of the product.

Therefore, as shown in fig. 5, a flowchart of another embodiment of a data processing method provided in the present application is shown, and the method may be executed by a server and may include the following steps:

501: the method comprises the steps of obtaining a product design scheme of a target product, and determining at least one target object related to the product design scheme.

For example, in a home product offer scenario, the target product may be a home product, and in practical applications, the target product may be a customized product designed according to the needs of the purchaser.

The product design scheme can be designed by a designer through product design software, such as home decoration design software, and the product design software can be three-dimensional design software for product design.

The three-dimensional design software may be integrated in a third user side, which corresponds to the designer.

Therefore, optionally, obtaining the product design plan of the target product may refer to:

and acquiring a product design scheme of the target product submitted by the third user side.

The object models of different objects corresponding to the object database provided by the object provider can be integrated in the third user side, so that designers can conveniently realize product design based on the object models.

Thus, after obtaining the product design, at least one target object involved by the target product may be determined based on the object model used in the product design.

Alternatively, since the target product is composed of components, some components may not need to be subjected to the quotation process. Thus, in some embodiments, determining at least one target object to which a product design solution relates may include:

determining at least one target object to be quoted and processed in each part forming the target product in the product design scheme.

502: determining a first quotation calculation rule applicable to each target object and a parameter value corresponding to at least one quotation influence parameter related to the applicable first quotation calculation rule.

The first quotation calculation rule is generated according to quotation influence parameters which are respectively set by the first user aiming at least one quotation influence type.

The specific generation manner of the first quotation calculation rule can be shown in the foregoing embodiments, and is not described herein again.

Optionally, step 502 may specifically be:

determining a first quotation calculation rule applicable to each of at least one target object;

and determining the parameter value of at least one quotation influence parameter corresponding to the at least one target object respectively and related to the respectively applicable first quotation calculation rule by combining the design parameters in the product design scheme.

For example, if the at least one offer impact parameter of a target object includes an object usage calculation mode parameter, such as height, a height value of the target object may be extracted from design parameters of a product design.

The at least one offer impact parameter of a certain target object includes an object unit price impact parameter, for example, a raw material, a target raw material value of the target object may be extracted from design parameters of a product design scheme, so as to determine an object unit price value corresponding to the raw material value from object unit price values corresponding to different raw material values in the first offer calculation rule.

503: and respectively calculating to obtain a first price of at least one target object according to the corresponding first quotation calculation rule and the parameter values corresponding to different quotation influence parameters.

For a simple example, it is assumed that the first offer calculation rule corresponding to the first target object in the target product includes an object offer calculation rule and an additional factor offer calculation rule.

According to the object quotation calculation rule, assuming that at least one quotation influence parameter corresponding to the first target object can comprise an object unit price parameter, an object usage calculation mode parameter and an object pricing unit, wherein a unit price value corresponding to the object unit price parameter is assumed to be 50 yuan, the usage calculation mode parameter is assumed to be height, the object pricing unit is assumed to be meter, and quotation calculation logic in the object quotation calculation rule is as follows: subject unit price per subject dose. A parameter value corresponding to the height of the first target object may be extracted from the design parameters of the product design scheme of the target product, and converted according to the object pricing unit, and assuming that the extracted height of the first target object is 10 meters, the object price corresponding to the first target object may be: 50 x 10 ═ 500 (yuan).

And according to an additional factor quotation calculation rule, assuming that at least one additional quotation influence parameter of a first additional factor corresponding to the first target object comprises an additional factor total price parameter, assuming that an additional factor total price value corresponding to the additional factor unit price parameter is set to be 1000 yuan, and specifying that the additional price of the additional factor is the additional factor total price value by the additional factor quotation calculation rule. Then, it may be determined that the additional price of the first target object corresponding to the additional factor is 1000 yuan, assuming that the first target object is only provided with the additional factor, the additional cost of the first target object is 1000 yuan, and the finally obtained first price of the first target object may be: 500+1000 ═ 1500 (yuan)

Of course, if at least one additional offer influence parameter of the first additional factor corresponding to the first target object includes an additional factor unit price parameter, an additional factor usage calculation mode parameter, and an additional factor pricing unit, the offer calculation logic in the additional factor calculation rule is: additional factor unit price additional factor amount. Assuming that the value of the additional factor unit is set to be 100, the usage calculation mode parameter is assumed to be the area, the object pricing unit is assumed to be the square meter, the parameter value corresponding to the area of the additional factor used in the first target object can be extracted from the design parameters of the product design scheme, and is converted according to the additional factor pricing unit, and assuming that the area of the additional factor obtained by extraction is 2 square meters, the additional price of the first target object corresponding to the first additional factor is: 100 x 2 ═ 200 (yuan).

504: based on the first price of the at least one target object, a first product price of the target product is obtained.

In some embodiments, based on the first price of the at least one target object, obtaining the first product price of the target product may be:

and accumulating the first price of at least one target object to obtain a first product price of the target product.

In practical applications, when the first price computing rule is used to compute a settlement price of the object provider, the first product price may refer to a product settlement price of the object provider for the object seller, and in some embodiments, the method may further include:

generating a production order based on the product design scheme of the target product and the first product price;

and sending the production order to the first user terminal.

After the first user end obtains the production order, the object provider can be informed to check the first product price according to the production order, and product production is carried out according to the product design scheme after the error is confirmed.

In addition, the production order can also be sent to the second user end, so that the second user end can prompt the object seller to settle the product according to the first product price.

Fig. 6 is a flowchart of another embodiment of a data processing method provided in an embodiment of the present application, where the method may be executed by a server and may include the following steps:

601: the method comprises the steps of obtaining a product design scheme of a target product, and determining at least one target object related to the product design scheme.

602: and determining the respectively applicable second quotation calculation rule of the at least one target object and the parameter value of the at least one quotation influence parameter related to the respectively applicable second quotation calculation rule.

The second quotation calculation rule is obtained according to the modification operation of a second user on the first quotation calculation rule; the first offer calculation rule is generated according to offer influence parameters which are respectively set by the first user aiming at least one offer influence type.

The specific generation manner of the first quotation calculation rule and the second quotation calculation rule can be described in the foregoing embodiments, and is not described herein again.

603: respectively calculating to obtain a second price of at least one target object according to the corresponding second quotation calculation rule and the parameter values corresponding to different quotation influence parameters;

604: based on the second price of the at least one target object, a second product price of the target product is obtained.

The embodiment shown in fig. 6 is different from the embodiment shown in fig. 5 in that the second product price of the target product is calculated according to the second price calculation rule, and other similar or identical steps may be referred to the related description in the embodiment shown in fig. 5, and are not described again here.

In practical applications, the second product price may be a product sale price of the target seller, and the target product may be released after the target seller obtains the second product price, so that, in some embodiments, the method may further include:

based on the second product price, the target product is released.

The target product may be specifically requested to be issued by the server, or the target product may be issued in an online transaction system, so that a user can make online purchases, and the like.

Further, where the target product is a customized product, in some embodiments, the method may further comprise:

generating a sales order for the target product based on the second product price;

the sales order is provided to the purchaser.

For example, the sales order may be sent to a fourth user terminal corresponding to the purchaser, and the purchaser may call a third party payment system to perform order payment on the sales order through the fourth user terminal.

In addition, after the sales order payment is successful, the obtained first product price may be calculated based on the embodiment shown in fig. 5, a production order of the target product is generated, the production order is provided to the first user side, the object provider produces the product, and the like.

In addition, the production order can also be sent to the second user side to prompt the object seller to carry out production and counterfeit settlement and the like, the third party payment system can be called by the second user side to carry out online payment and the like on the production order, and after the production order is successfully paid, the third party payment system can be sent to the first user side to inform the object provider of carrying out product production and the like.

As can be seen from the foregoing description, the technical solution of the embodiment of the present application can be applied to the data processing system as described in fig. 7, and the data processing system can include a first user end 701 and a server end 702;

a server 702, which may provide a plurality of offer impact types to a first user 701; obtaining offer influence parameters which are respectively set by a first user aiming at least one offer influence type and are sent by a first user terminal 701; generating a first quotation calculation rule based on at least one quotation influence parameter corresponding to at least one quotation influence type, and determining at least one object applicable to the first quotation calculation rule;

the first user 701 may output parameter setting prompt information corresponding to a plurality of offer impact types, determine offer impact parameters respectively set for at least one offer impact type in response to a parameter setting operation of the first user, and send the at least one offer impact parameter corresponding to the at least one offer impact type to the server.

In some embodiments, the first user terminal 701 is further configured to output object selection prompt information for the first bid amount calculation rule, and send an object selection request to the server terminal in response to an object selection operation for the object selection prompt information;

server 702 determining at least one object to which the first bid calculation rule applies may include: at least one object selected by the first user is determined based on an object selection request sent by the first user.

Further, in some embodiments, the data processing system may also include a second user terminal 703;

the server 701 is further configured to send the first quotation calculation rule to the second user 703, and generate a second quotation calculation rule corresponding to at least one object based on a modification request for the first quotation calculation rule sent by the second user 703;

the second user 703 is configured to output modification prompt information corresponding to the first offer calculation rule, and send a modification request to the server 701 in response to a trigger operation for the modification prompt information.

Further, in some embodiments, the data processing system may also include a third user terminal 704;

a third user end 704, configured to submit a product design scheme of a target product to the server end 701;

the server 701 is further used for determining at least one target object related to the product design scheme; determining a first quotation calculation rule applicable to each target object and a parameter value of at least one quotation influence parameter related to the applicable first quotation calculation rule; the first quotation calculation rule is generated according to quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type; respectively calculating to obtain a first price of at least one target object according to the corresponding first quotation calculation rule and the parameter values corresponding to different quotation influence parameters; based on the first price of the at least one target object, a first product price of the target product is obtained.

In addition, the server 701 may further generate a production order based on the product design scheme of the target product and the first product price; and sends the production order to the first client 702.

In some embodiments, the server 701 is further configured to determine a second offer calculation rule applicable to each of the at least one target object, and a parameter value corresponding to at least one offer influence parameter related to the second offer calculation rule applicable to each of the at least one target object; respectively calculating to obtain a second price of at least one target object according to the corresponding second quotation calculation rule and the parameter values corresponding to different quotation influence parameters; based on the second price of the at least one target object, a second product price of the target product is obtained.

In addition, in some embodiments, the data processing system may further include a fourth client 705, and the server 701 is further configured to generate a sales order based on the second product price of the target product, and send the sales order to the fourth client 705;

the fourth user terminal 705 is used for outputting the sales order, prompting the user to make an order payment at the second product price, and the like.

Fig. 8 is a schematic structural diagram of an embodiment of a data processing apparatus according to an embodiment of the present application, where the apparatus may be configured in the server described above, and the apparatus may include:

a data providing module 801 for providing a plurality of offer impact types;

a parameter obtaining module 802, configured to obtain offer influence parameters that are respectively set by a first user for at least one offer influence type;

a first rule generating module 803, configured to generate a first offer calculation rule based on at least one offer influence parameter corresponding to at least one offer influence type;

an object determination module 804 for determining at least one object for which a first bid calculation rule applies; the first price calculation rule is used for calculating a first price of the target object based on the parameter value of the target object corresponding to the at least one price influence parameter.

The data processing apparatus shown in fig. 8 may execute the data processing method shown in the embodiment shown in fig. 1, and the implementation principle and the technical effect are not described again. The specific manner in which each module and unit of the data processing apparatus in the above embodiments perform operations has been described in detail in the embodiments related to the method, and will not be described in detail herein.

In one possible design, the data processing apparatus of the embodiment shown in fig. 8 may be implemented as a computing device, and the computing device may configure a server in the data processing system shown in fig. 7 or be a physical machine corresponding to the server shown in fig. 7, as shown in fig. 9, and the computing device may include a storage component 901 and a processing component 902;

storage component 901 stores one or more computer instructions for execution by processing component 902 to implement the data processing method of the embodiment shown in fig. 1.

Of course, a computing device may also necessarily include other components, such as input/output interfaces, communication components, and so forth. The input/output interface provides an interface between the processing components and peripheral interface modules, which may be output devices, input devices, etc. The communication component is configured to facilitate wired or wireless communication between the computing device and other devices, and the like.

The computing device may be a physical device or an elastic computing host provided by a cloud computing platform, and the computing device may be a cloud server, and the processing component, the storage component, and the like may be a basic server resource rented or purchased from the cloud computing platform.

The embodiment of the present application further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a computer, the data processing method of the embodiment shown in fig. 1 may be implemented.

Fig. 10 is a schematic structural diagram of another embodiment of a data processing apparatus according to an embodiment of the present application, where the apparatus may be configured in the first user end described above, and the apparatus may include:

an interface providing module 1001 configured to provide a display interface;

the first prompting module 1002 is configured to display parameter setting prompting information corresponding to a plurality of offer influence types in a display interface;

a parameter setting module 1003, configured to determine, in response to a parameter setting operation of a first user, offer influence parameters corresponding to at least one offer influence type respectively;

the first sending module 1004 is configured to send the offer influence parameters corresponding to the at least one offer influence type to the server, so that the server generates a first offer calculation rule based on the offer influence parameters corresponding to the at least one offer influence type, and determines at least one object applicable to the first offer calculation rule.

The data processing apparatus shown in fig. 10 may execute the data processing method shown in the embodiment shown in fig. 2, and the implementation principle and the technical effect are not described again. The specific manner in which each module and unit of the data processing apparatus in the above embodiments perform operations has been described in detail in the embodiments related to the method, and will not be described in detail herein.

In one possible design, the data processing apparatus in the embodiment shown in fig. 10 may be implemented as an electronic device, and the electronic device may configure a first user end in the data processing system shown in fig. 7, and in practical applications, the electronic device may be a terminal such as a computer, a mobile phone, a personal computer, and as shown in fig. 11, the electronic device may include a storage component 1101, a display component 1102, and a processing component 1103;

the storage component 1101 stores one or more computer instructions, wherein the one or more computer instructions are invoked for execution by the processing component 1103 to implement the data processing method of the embodiment shown in fig. 2.

Of course, the electronic device may of course also comprise other components, such as input/output interfaces, communication components, etc. The input/output interface provides an interface between the processing components and peripheral interface modules, which may be output devices, input devices, etc. The communication component is configured to facilitate wired or wireless communication between the computing device and other devices, and the like.

An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a computer, the data processing method of the embodiment shown in fig. 2 may be implemented.

Fig. 12 is a schematic structural diagram of another embodiment of a data processing apparatus according to an embodiment of the present application, where the apparatus may be configured in the first user end described above, and the apparatus may include:

a rule obtaining module 1201, configured to obtain a first offer calculation rule corresponding to any object group; the first quotation calculation rule is generated based on quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type; the object group comprises at least one object;

the rule modification module 1202 is configured to send a modification request to the server in response to a modification operation for the first offer calculation rule, so that the server generates a second offer calculation rule corresponding to the object group based on the modification request; and the second price calculation rule is used for calculating and obtaining a second price of the target object based on the parameter values of the target object in the object group corresponding to the at least one price influence parameter respectively.

The data processing apparatus shown in fig. 12 may execute the data processing method shown in the embodiment shown in fig. 4, and the implementation principle and the technical effect are not described again. The specific manner in which each module and unit of the data processing apparatus in the above embodiments perform operations has been described in detail in the embodiments related to the method, and will not be described in detail herein.

In one possible design, the data processing apparatus in the embodiment shown in fig. 12 may be implemented as an electronic device, and the electronic device may be configured with a second user end in the data processing system shown in fig. 7, and in practical applications, the electronic device may be a terminal such as a computer, a mobile phone, a personal computer, and as shown in fig. 13, the electronic device may include a storage component 1301, a display component 1302, and a processing component 1303;

the storage component 1301 stores one or more computer instructions, which are called by the processing component 1303 to execute, so as to implement the data processing method of the embodiment shown in fig. 4.

Fig. 14 is a schematic structural diagram of another embodiment of a data processing apparatus according to an embodiment of the present application, where the apparatus may include:

a first analysis module 1401, configured to obtain a product design scheme of a target product, and determine at least one target object related to the product design scheme;

a first extraction module 1402, configured to determine a first price quotation calculation rule applicable to each of the at least one target object, and a parameter value of at least one price quotation influence parameter related to the first price quotation calculation rule applicable to each target object; the first quotation calculation rule is generated according to quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type;

a first calculating module 1403, configured to calculate and obtain a first price of at least one target object according to a first price calculating rule corresponding to each first price and parameter values corresponding to different price influencing parameters;

a second calculating module 1404 configured to obtain a first product price of the target product based on the first price of the at least one target object.

The data processing apparatus shown in fig. 14 may execute the data processing method shown in the embodiment shown in fig. 5, and the implementation principle and the technical effect are not described again. The specific manner in which each module and unit of the data processing apparatus in the above embodiments perform operations has been described in detail in the embodiments related to the method, and will not be described in detail herein.

In one possible design, the data processing apparatus of the embodiment shown in fig. 14 may be implemented as a computing device, and the computing device may configure a server in the data processing system shown in fig. 7 or be a physical machine corresponding to the server shown in fig. 7, as shown in fig. 15, and the computing device may include a storage component 1501 and a processing component 1502;

storage component 1501 stores one or more computer instructions for processing component 1502 to invoke for execution to implement the data processing method of the embodiment shown in fig. 5.

An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a computer, the data processing method of the embodiment shown in fig. 5 may be implemented.

Fig. 16 is a schematic structural diagram of another embodiment of a data processing apparatus according to an embodiment of the present application, where the apparatus may include:

the second analysis module 1601 is configured to obtain a product design scheme of a target product, and determine at least one target object related to the product design scheme;

a second extraction module 1602, configured to determine a second offer calculation rule applicable to each of the at least one target object, and a parameter value of at least one offer influence parameter related to the second offer calculation rule applicable to each of the at least one target object; the second quotation calculation rule is obtained according to the modification operation of a second user on the first quotation calculation rule; the first quotation calculation rule is generated according to quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type;

a third calculating module 1603, configured to calculate a second price of the at least one target object according to a respective corresponding second quotation calculating rule and parameter values corresponding to different quotation influence parameters;

the fourth calculating module 1604 is for obtaining a second product price of the target product based on the second price of the at least one target object.

The data processing apparatus shown in fig. 16 may execute the data processing method shown in the embodiment shown in fig. 6, and the implementation principle and the technical effect are not described again. The specific manner in which each module and unit of the data processing apparatus in the above embodiments perform operations has been described in detail in the embodiments related to the method, and will not be described in detail herein.

In one possible design, the data processing apparatus of the embodiment shown in fig. 16 may be implemented as a computing device, which may configure a server in the data processing system shown in fig. 7 or be a physical machine corresponding to the server shown in fig. 7, as shown in fig. 17, and may include a storage component 1701 and a processing component 1702;

the storage component 1701 stores one or more computer instructions for execution by the processing component 1702 to implement the data processing method of the embodiment shown in FIG. 6.

An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a computer, the data processing method of the embodiment shown in fig. 6 may be implemented.

The processing components involved in the various embodiments above may include one or more processors executing computer instructions to perform all or part of the steps of the methods described above. Of course, the processing elements may also be implemented as one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components configured to perform the above-described methods.

The storage component is configured to store various types of data to support operations in the device. The memory components may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims

1. A data processing method, comprising:

providing a plurality of offer impact types;

2. The method of claim 1, wherein the at least one offer impact type comprises an object pricing type; when the object pricing type is set as an object unit price parameter, the determining at least one object applicable to the offer calculation rule comprises:

determining at least one object to which the first offer calculation rule applies;

acquiring an object unit price value set for the at least one object by a first user aiming at the object unit price parameter;

respectively saving the first quotation calculation rule and the corresponding object unit price value for the at least one object;

the first quotation calculation rule is specifically used for calculating a first price of the target object based on the parameter value of the target object corresponding to the at least one quotation influence parameter and the corresponding set unit price value of the target object.

3. The method of claim 2, wherein the at least one offer impact type further comprises an object unit price impact type;

the obtaining of the unit price parameter of the object set by the first user for the at least one object includes:

determining a plurality of parameter values corresponding to the object unit price influence parameters set for the object unit price influence types;

and acquiring object unit price values which are respectively set for the at least one object by the first user aiming at the plurality of parameter values.

4. The method of claim 1, wherein the at least one offer impact type comprises at least one additional offer impact type to which at least one additional factor corresponds, respectively; when at least one additional offer influence type corresponding to any one additional factor includes an additional factor pricing type and the additional factor pricing type is set as an additional factor unit price parameter, the method further includes:

acquiring an additional factor unit price parameter corresponding to any additional factor by a first user, and setting an additional factor unit price value for the at least one object;

respectively saving the first quotation calculation rule and an additional factor unit price value corresponding to any additional factor for the at least one object;

the first offer calculation rule is specifically configured to calculate a first price of the target object based on a parameter value of the target object corresponding to the at least one offer influence parameter, a corresponding object unit price value, and an additional factor unit price value corresponding to any one of the additional factors.

5. The method of claim 4, wherein the at least one additional offer impact type corresponding to any one additional factor further comprises an additional factor unit price impact type;

the obtaining of the additional factor unit price parameter corresponding to any additional factor by the first user, where the additional factor unit price value set for the at least one object includes:

determining a plurality of parameter values corresponding to the additional factor unit price influence parameters set for any additional factor;

and acquiring an additional factor unit price value set for the at least one object by the first user respectively aiming at the plurality of parameter values.

6. The method of claim 1, wherein generating an offer calculation rule based on at least one offer impact parameter corresponding to the at least one offer impact type comprises:

and generating a first quotation calculation rule based on at least one quotation influence parameter corresponding to the at least one quotation influence type and quotation calculation logic corresponding to the at least one quotation influence parameter.

7. The method of claim 1, wherein the determining at least one object to which the first bid calculation rule applies comprises:

determining at least one object selected by the first user for the first offer calculation rule.

8. The method of claim 1, wherein obtaining offer influence parameters respectively set by users for at least one offer influence type comprises:

determining at least one offer impact type selected by the first user;

obtaining quotation influence parameters respectively set by the first user aiming at the at least one quotation influence type.

9. The method of claim 1, wherein providing the plurality of offer impact types comprises:

and providing a plurality of quotation influence types to a first user end so that the first user end can output parameter setting prompt information corresponding to the quotation influence types.

10. The method of claim 9, wherein the determining at least one object to which the offer calculation rule applies comprises:

outputting object selection prompt information aiming at the first quotation calculation rule at the first user end;

and determining at least one object selected by the first user based on the object selection request sent by the first user.

11. The method of claim 9, further comprising:

when the detection object database is updated, outputting quotation prompt information at the first user end; wherein the offer setting request is sent by the first user end in response to a trigger operation for the offer prompt message.

12. The method of claim 1, further comprising:

13. The method of claim 1, wherein after determining at least one object to which the first bid calculation rule applies, the method comprises:

dividing the at least one object into an object group;

determining an object class to which the object group belongs;

14. The method of claim 1, further comprising:

sending the first quotation calculation rule corresponding to the at least one object to a second user end;

generating a second quotation calculation rule corresponding to the at least one object based on a modification request of the first quotation calculation rule sent by the second user terminal; the second offer calculation rule is used for calculating a second price of the object based on the parameter values of the object respectively corresponding to the at least one offer influence parameter.

15. The method according to claim 14, wherein the generating a second price quotation calculation rule corresponding to the at least one object based on the modification request for the first price quotation calculation rule sent by the second user terminal comprises:

16. The method according to claim 15, wherein the determining a floating factor based on the request for modification of the first price quote calculation rule sent by the second user terminal comprises:

17. The method of claim 1, further comprising:

grouping objects corresponding to the object database to obtain at least one object group; the object group comprises at least one object;

the providing a plurality of offer impact types includes:

the determining at least one object to which the first offer calculation rule applies includes:

determining any one of the object groups to which the first offer calculation rule applies.

18. The method of claim 17, wherein grouping objects in the object library to obtain at least one object group comprises:

19. The method of claim 1, wherein the plurality of offer impact types includes an object offer impact type and an additional offer impact type corresponding to at least one additional factor, respectively; the object offer influence type comprises an object pricing type and at least one corresponding object unit price calculation type when the object pricing type is a unit price parameter; the additional quotation influence type comprises an additional factor pricing type and at least one additional factor unit price calculation type corresponding to the additional factor pricing type when the additional factor pricing type is a unit price parameter; wherein the at least one object unit price calculation type comprises an object usage calculation mode and an object unit price influence type; the at least one additional factor unit price calculation type includes an additional factor usage calculation manner and an additional factor unit price influence type.

20. The method of claim 19, wherein the at least one offer impact type comprises at least one object offer impact type and at least one additional offer impact type to which at least one additional factor corresponds, respectively;

the generating a first offer calculation rule based on at least one offer influence parameter corresponding to the at least one offer influence type includes:

generating an object offer calculation rule based on the object offer influence parameters respectively set by the at least one object offer influence type;

generating an additional factor quotation calculation rule based on additional quotation influence parameters which are respectively set corresponding to at least one additional quotation influence type by any additional factor so as to obtain at least one additional factor quotation calculation rule;

obtaining a first quotation calculation rule according to the object quotation calculation rule and the at least one additional factor quotation calculation rule;

the object quotation calculation rule is used for calculating and obtaining the object price of the target object based on the parameter value of at least one object quotation influence parameter corresponding to the target object, and the additional factor quotation calculation rule is used for calculating and obtaining the additional price of the target object based on the parameter value of at least one additional quotation influence parameter corresponding to the target object; the first price calculation rule is further configured to obtain a first price for the target object based on the object price and at least one additional price for the target object.

21. A data processing method, comprising:

providing a display interface;

22. The method of claim 21, further comprising:

displaying object selection prompt information aiming at the first quotation calculation rule in the display interface;

and responding to the object selection operation of the first user, sending an object selection request to the server, so that the server determines at least one object selected by the first user and stores the first quotation calculation rule corresponding to the at least one object.

23. The method of claim 21, wherein the at least one offer impact type comprises an object pricing type; when the object pricing type is set as an object unit price parameter, the method further comprises the following steps:

displaying object unit price setting prompt information in the display interface;

and responding to the object unit price setting operation of the first user, and sending the object unit price value corresponding to the at least one object to the server, so that the server can respectively store the first quotation calculation rule and the corresponding object unit price value for the at least one object.

24. The method of claim 23, wherein the at least one offer impact type comprises an object unit price impact type;

the displaying object unit price setting prompt information in the display interface comprises the following steps:

and displaying object unit price setting prompt information corresponding to the plurality of parameter values of the object unit price influence parameter in the display interface.

25. The method of claim 21, wherein the at least one offer impact type comprises at least one additional offer impact type to which at least one additional factor corresponds, respectively; when at least one additional offer influence type corresponding to any one additional factor includes an additional factor pricing type and the additional factor pricing type is set as an additional factor unit price parameter, the method further includes:

displaying additional factor unit price setting prompt information of any additional factor in the display interface;

and responding to the additional factor unit price setting operation of the first user, and sending an additional factor unit price value corresponding to any additional factor to the server, so that the server stores the first quotation calculation rule and the additional factor unit price value corresponding to any additional factor for the at least one object respectively.

26. The method of claim 25, wherein the at least one additional offer impact type for any additional factor further comprises an additional factor unit price impact type;

the additional factor unit price setting prompt information for displaying any additional factor in the display interface comprises:

determining a plurality of parameter values corresponding to the unit price influence parameter of the additional factor set by any one additional factor

And displaying additional factor unit price setting prompt information corresponding to the parameter values in the display interface.

27. The method of claim 21, wherein displaying parameter setting prompt messages corresponding to a plurality of offer impact types in the display interface comprises:

displaying a quotation prompt message in the display interface;

and responding to the triggering operation aiming at the quotation prompt information, and displaying the setting prompt information corresponding to the plurality of quotation influence types in the display interface.

28. The method of claim 21, further comprising:

displaying rule prompt information corresponding to at least one first quotation calculation rule in the display interface;

29. The method of claim 21, wherein displaying rule prompt messages corresponding to the at least one first offer calculation rule in the display interface comprises:

displaying rule prompt information of first quotation calculation rules respectively applicable to different object groups in different object categories in the display interface; at least one object which is applicable to the same first quotation calculation rule is divided into an object group, and the object class of the object group is determined.

30. The method according to claim 21, wherein before the displaying parameter setting prompt information corresponding to the plurality of offer impact types in the display interface, the method further comprises:

displaying object grouping prompt information in the display interface;

responding to the grouping operation aiming at the grouping prompt information, and sending a grouping setting request to the server so that the server can conveniently group the objects in the object library to obtain at least one object group;

the displaying of the setting prompt information corresponding to the multiple offer influence types in the display interface includes:

and responding to the quotation setting operation aiming at any object group, and displaying parameter setting prompt information corresponding to a plurality of quotation influence types in the display interface.

31. A data processing method, comprising:

32. The method of claim 31, wherein sending a modification request to a server in response to a modification operation for the first bid calculation rule comprises:

determining a floating coefficient in response to a modification operation to the first bid calculation rule;

sending a modification request of the floating coefficient to a server side, so that the server side generates a second quotation calculation rule based on the floating coefficient and the first quotation calculation rule;

and the second price calculation rule is used for calculating and obtaining a second price of the target object based on the first price of the target object calculated and obtained according to the first price calculation rule and the floating coefficient.

33. A data processing method, comprising:

34. The method of claim 33, further comprising:

generating a production order based on the product design plan of the target product and the first product price;

and sending the production order to the first user terminal.

35. The method of claim 33, wherein the obtaining a product design plan for a target product comprises:

36. The method of claim 33, wherein the determining at least one target object involved in the product design comprises:

and determining at least one target object to be quoted and processed in each part forming the target product in the product design scheme.

37. The method of claim 33, wherein obtaining the first product price for the target product based on the first price for the at least one target object comprises:

accumulating the first price of the at least one target object to obtain a first product price of the target product.

38. The method of claim 33, wherein the determining the respective applicable first offer calculation rule for the at least one target object and the parameter value corresponding to the at least one offer influencing parameter related to the respective applicable first offer calculation rule comprises:

determining a first price quotation calculation rule applicable to each target object;

39. The method of claim 33, further comprising:

determining a second quotation calculation rule applicable to each target object and a parameter value of at least one quotation influence parameter related to the second quotation calculation rule applicable to each target object; the second quotation calculation rule is obtained according to the modification operation of a second user on the first quotation calculation rule;

40. A data processing method, comprising:

41. The method of claim 40, further comprising:

and issuing the target product based on the second product price.

42. The method of claim 40, further comprising:

generating a sales order based on the second product price;

providing the sales order to a purchaser of the target product.

43. A data processing system is characterized by comprising a first user terminal and a server terminal;

44. The system according to claim 43, wherein the first user terminal is further configured to output an object selection prompt message for the first price quotation calculation rule, and in response to an object selection operation for the object selection prompt message, send an object selection request to the server terminal;

the server side determines at least one object applicable to the first quotation calculation rule, and the method comprises the following steps: and determining at least one object selected by the first user based on the object selection request sent by the first user.

45. The system according to claim 43, further comprising a second client;

the server is further configured to send the first quotation calculation rule to the second user, and determine a second quotation calculation rule corresponding to the at least one object based on a modification request for the first quotation calculation rule sent by the second user;

and the second user side is used for outputting modification prompt information corresponding to the first quotation calculation rule and responding to the trigger operation aiming at the modification prompt information to send the modification request to the server side.

46. The system according to claim 43, further comprising a third client;

the third user end is used for submitting the product design scheme of the target product to the server end;

the server is further used for determining at least one target object related to the product design scheme; determining a first quotation calculation rule applicable to each target object and a parameter value of at least one quotation influence parameter related to the applicable first quotation calculation rule; the first quotation calculation rule is generated according to quotation influence parameters which are respectively set by a first user aiming at least one quotation influence type; respectively calculating and obtaining a first price of the at least one target object according to the corresponding first quotation calculation rule and the parameter values corresponding to different quotation influence parameters; based on the first price of the at least one target object, a first product price of the target product is obtained.

47. The system according to claim 46, wherein the server is further configured to determine respective applicable second offer calculation rules for the at least one target object, and parameter values corresponding to at least one offer influencing parameter related to the respective applicable second offer calculation rules; respectively calculating to obtain a second price of the at least one target object according to the respective corresponding second quotation calculation rule and the parameter values corresponding to different quotation influence parameters; obtaining a second product price for the target product based on the second price for the at least one target object.

48. A data processing apparatus, comprising:

a data providing module for providing a plurality of offer impact types;

49. A data processing apparatus, comprising:

the interface providing module is used for providing a display interface;

50. A data processing apparatus, comprising:

51. A data processing apparatus, comprising:

52. A data processing apparatus, comprising:

53. A computing device comprising a processing component and a storage component;

the storage component stores one or more computer instructions; the one or more computer instructions for execution by the processing component to perform the data processing method of any of claims 1 to 20.

54. An electronic device comprising a processing component, a display component, and a storage component;

the storage component stores one or more computer instructions; the one or more computer instructions for execution by the processing component to perform the data processing method of any of claims 21 to 31.

55. An electronic device comprising a processing component, a display component, and a storage component;

the storage component stores one or more computer instructions; the one or more computer instructions for execution by the processing component to perform the data processing method of claim 32.

56. A computing device comprising a processing component and a storage component;

the storage component stores one or more computer instructions; the one or more computer instructions for execution by the processing component to perform the data processing method of any of claims 33 to 39.

57. A computing device comprising a processing component and a storage component;

the storage component stores one or more computer instructions; the one or more computer instructions for execution by the processing component to perform a data processing method as claimed in any one of claims 40 to 42.