CN114693399A

CN114693399A - Order generation method and device, storage medium and computer equipment

Info

Publication number: CN114693399A
Application number: CN202210332853.XA
Authority: CN
Inventors: 刘传宝; 孙会业; 张�林; 叶帅; 苏浩川; 张岑
Original assignee: Rajax Network Technology Co Ltd
Current assignee: Rajax Network Technology Co Ltd
Priority date: 2022-03-31
Filing date: 2022-03-31
Publication date: 2022-07-01

Abstract

The application discloses an order generation method and device, a storage medium and computer equipment, wherein the method comprises the following steps: determining at least one target object to be placed on the basis of the selection data of the selectable objects; acquiring a candidate commodity combination corresponding to the target standard product; and displaying order information containing the candidate commodity combination. According to the method and the device, after the target standard product is selected, the corresponding commodity combination can be automatically obtained for the target standard product selected by the user, the complex operation that the user needs to switch shops when selecting and purchasing multiple shop commodities is avoided, the user does not need to submit orders for many times, and the pressure of the server is reduced.

Description

Order generation method and device, storage medium and computer equipment

Technical Field

The present application relates to the field of internet technologies, and in particular, to an order generation method and apparatus, a storage medium, and a computer device.

Background

With the development of computer and internet technologies and the constant popularization of e-commerce platforms, more and more users choose to shop online. For shopping platforms of supermarkets, convenience stores and the like, when a user purchases commodities, the user generally enters a shop for selecting and purchasing the commodities by searching the shop, or looks up the shop capable of providing the commodities by searching the commodities and then enters the shop for selecting and purchasing the commodities, if the user wants to select and purchase the commodities of a plurality of shops, the user needs to enter a plurality of shops for buying and ordering, the operation is complicated, the user experience is poor, and the server is stressed by submitting orders for many times.

Disclosure of Invention

In view of this, the present application provides an order generation method and apparatus, a storage medium, and a computer device, which avoid the tedious operation of switching stores when a user selects and purchases multiple store products, and meanwhile, the user does not need to submit an order many times, thereby reducing the server pressure.

According to an aspect of the present application, there is provided an order generation method, the method including:

determining at least one target standard article to be placed on the basis of the selection data of the selectable standard articles;

acquiring a candidate commodity combination corresponding to the target standard product;

and displaying order information containing the candidate commodity combination.

Optionally, before determining at least one target object to be placed based on the selection data of the selectable objects, the method further includes:

displaying a standard product selection interface of a virtual shop, wherein the virtual shop corresponds to at least one real shop, the real shop is determined based on a target delivery position, and the selectable standard product contained in the standard product selection interface is determined based on the goods on shelves provided by the real shop.

Optionally, the candidate commodity combinations include at least one, each candidate commodity combination is determined based on a preset strategy, and the order information includes each candidate commodity combination and a preset strategy corresponding to the candidate commodity combination;

after displaying the order information including the candidate commodity combination, the method further comprises:

in response to a confirmation instruction for any candidate commodity combination, a target order is determined based on the any candidate commodity combination.

According to another aspect of the present application, there is provided an order generation method, the method including:

receiving at least one target object to be placed;

respectively obtaining commodity capable of placing orders corresponding to each target standard product, screening the commodity capable of placing orders according to a preset strategy, and constructing a candidate commodity combination containing the commodity corresponding to each target standard product;

Optionally, before the receiving at least one target object to be placed, the method further comprises:

responding to a request instruction of a virtual store, and acquiring at least one real store corresponding to the virtual store based on a target delivery position, wherein the target delivery position comprises a current positioning position or a preset delivery position;

determining selectable standard products of the virtual shop according to the goods on shelves provided by each real shop;

and constructing and displaying a standard product selection interface of the virtual shop, wherein the standard product selection interface comprises the selectable standard product.

Optionally, the respectively obtaining the order-placing commodities corresponding to each target standard product specifically includes:

acquiring current scene information, wherein the current scene information comprises at least one of user information, time period information and the target distribution position;

determining a shop score of each real shop laid under the current scene based on the current scene information, real shop information and a preset shop screening model, wherein the preset shop screening model comprises at least one shop, and each preset shop screening model is established based on a respective shop screening rule;

acquiring the first candidate shop according to the shop score of the real shop;

and acquiring the order-placing commodities corresponding to each target standard product from first shelving commodities provided by the first candidate shop.

Optionally, the preset shop screening models comprise a plurality of models, and each preset shop screening model is established based on a corresponding shop screening rule;

the obtaining of the first candidate shop according to the shop score of the real shop specifically includes:

and screening real shops with the shop scores ranked from high to low in the front-listed shop screening number as the first candidate shop based on the respective shop screening number corresponding to each preset shop screening model.

Optionally, after the obtaining of the first candidate shop according to the shop score of the real shop, the method further includes:

judging whether the first shelving commodities provided by the first candidate shop cover all the target objects or not;

if so, executing the first shelving merchandise provided by the first candidate shop to obtain the order-placing merchandise corresponding to each target standard article;

if not, acquiring a second candidate shop in the real shop according to a target standard article uncovered by the first shelving commodity, and acquiring a commodity capable of placing orders corresponding to each target standard article in the first shelving commodity and a second shelving commodity provided by the second candidate shop.

Optionally, the screening the commodity capable of placing orders according to a preset strategy, and constructing a candidate commodity combination including a commodity corresponding to each target standard product specifically includes:

taking each target object as a group, putting one order-placing commodity corresponding to the target object in each group, and enumerating an initial commodity combination containing the order-placing commodity corresponding to each target object;

and respectively calculating a combination score of each initial commodity combination according to at least one preset strategy, and acquiring the candidate commodity combination corresponding to the at least one preset strategy in the initial commodity combinations according to the combination score, wherein the preset strategy comprises at least one of a low-price priority strategy, a distribution priority strategy and a comprehensive score strategy.

Optionally, after displaying the order information including the candidate commodity combination, the method further includes:

According to another aspect of the present application, there is provided an order generating apparatus, the apparatus including:

the system comprises a standard article determining module, a list placing module and a list selecting module, wherein the standard article determining module is used for determining at least one target standard article to be placed on the basis of selection data of selectable standard articles;

the commodity combination acquisition module is used for acquiring a candidate commodity combination corresponding to the target standard product;

and the display module is used for displaying the order information containing the candidate commodity combination.

Optionally, the display module is further configured to display a target item selection interface of a virtual store before determining at least one target item to be placed based on selection data of a selectable target item, where the virtual store corresponds to at least one real store, the real store is determined based on a target delivery location, and the selectable target item included in the target item selection interface is determined based on an item on shelf provided by the real store.

the device further comprises: and the order determining module is used for responding to a confirmation instruction of any candidate commodity combination after the order information containing the candidate commodity combination is displayed, and determining a target order based on any candidate commodity combination.

the system comprises a standard receiving module, a receiving module and a processing module, wherein the standard receiving module is used for receiving at least one target standard to be placed;

the combination determining module is used for respectively obtaining the order-placing commodities corresponding to each target standard product, screening the order-placing commodities according to a preset strategy and constructing a candidate commodity combination containing the commodities corresponding to each target standard product;

Optionally, the apparatus further comprises:

the system comprises a shop request module, a scheduling module and a scheduling module, wherein the shop request module is used for responding to a request instruction of a virtual shop before receiving at least one target standard product to be ordered and acquiring at least one real shop corresponding to the virtual shop based on a target delivery position, and the target delivery position comprises a current positioning position or a preset delivery position; and (c) a second step of,

determining selectable standard products of the virtual shop according to the goods on shelves provided by each real shop; and the number of the first and second groups,

Optionally, the combination determining module is specifically configured to:

the combination determination module is further configured to: and screening real shops with the shop scores ranked from high to low in the front-listed shop screening number as the first candidate shop based on the respective shop screening number corresponding to each preset shop screening model.

Optionally, the combination determining module is further configured to:

after the first candidate shop is obtained according to the shop score of the real shop, whether the first overhead commodity provided by the first candidate shop covers all the target object or not is judged;

Optionally, the combination determining module is further configured to:

Optionally, the apparatus further comprises:

and the order determining module is used for responding to a confirmation instruction of any candidate commodity combination after the order information containing the candidate commodity combination is displayed, and determining a target order based on any candidate commodity combination.

According to yet another aspect of the present application, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described order generation method.

According to yet another aspect of the present application, there is provided a computer device comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, the processor implementing the order generation method when executing the program.

By means of the technical scheme, the order generation method and device, the storage medium and the computer equipment provided by the application acquire the candidate commodity combination including the commodities corresponding to each target commodity based on the target commodity to be ordered selected from the selectable commodities, and display the order information including the candidate commodity combination so as to create the order based on the order information. Compared with the mode of carrying out commodity shopping on the basis of stores in the prior art, the commodity shopping method and the system have the advantages that the store information is shielded in the mode of providing the selectable standard products corresponding to the commodities, the commodities provided by the stores can be more conveniently purchased without perception by a user, corresponding commodity combinations can be automatically obtained for the target standard products selected by the user after the target standard products are selected, the complex operation that the stores need to be switched when the user buys the commodities in the stores is avoided, meanwhile, the user does not need to submit orders for many times, and the pressure of a server is reduced.

The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

fig. 1 is a schematic flowchart illustrating an order generation method according to an embodiment of the present application;

FIG. 2 is a flow chart illustrating another order generation method provided by the embodiment of the present application;

FIG. 3 is a flow chart illustrating another order generation method provided by the embodiment of the present application;

fig. 4 is a schematic structural diagram illustrating an order generating apparatus according to an embodiment of the present application;

fig. 5 shows a schematic structural diagram of another order generating apparatus according to an embodiment of the present application.

Detailed Description

The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.

In the present embodiment, an order generation method is provided, as shown in fig. 1, the method includes:

step 101, determining at least one target standard object to be placed on the basis of selection data of the selectable standard objects;

102, acquiring a candidate commodity combination corresponding to the target standard product;

step 103, displaying order information containing the candidate commodity combination.

According to the order generation method provided by the embodiment of the application, a user can select and purchase the objects of a plurality of shops in an electronic commerce platform under the condition of no perception, the system can intelligently generate order information according to the objects selected and purchased by the user, even if the objects selected and purchased by the user cannot be provided by the same shop, the user does not need to enter the plurality of shops for order addition and order placement, and the use of the user is greatly facilitated.

In the embodiment of the application, the selectable standard articles are determined based on the goods on shelves provided by the shops in the platform, the goods provided by the shops are summarized and collected, and the shop information corresponding to the goods is hidden, for example, a certain type of yoghourt goods is provided by the shop, the corresponding selectable standard articles are determined according to the yoghourt, and the corresponding selectable standard articles are only one type when a plurality of shops provide the same type of goods. And when a user uses the client to select and purchase on the platform, actual shop information is omitted, the selectable standard products obtained by summarizing are selected, and the target standard products to be placed are determined. Further, the client may send the target standard product to the server, determine a candidate product combination corresponding to the target standard product through the server, and the client may also determine a corresponding candidate product combination based on a matching relationship between locally pre-stored selectable standard products and products, where the candidate product combination may include one or more products, and each candidate product combination includes a product corresponding to the target standard product (here, for example, the target standard product includes two identical yogurts, and the two identical yogurts may also serve as two independent target standard products). And finally, displaying order information containing the candidate commodity combination so that a user can place an order based on the order information.

In this embodiment of the application, optionally, step 101 further includes: displaying a standard product selection interface of a virtual shop, wherein the virtual shop corresponds to at least one real shop, the real shop is determined based on a target delivery position, and the selectable standard product contained in the standard product selection interface is determined based on the goods on shelves provided by the real shop.

In this embodiment, the virtual supermarket is designed to shield store information, when a user requests to enter a virtual store, the user can specifically scan real stores such as supermarkets in a nearby range according to a target delivery position of the user, aggregate the on-shelf commodities of the real stores, and obtain corresponding selectable targets, so that the selectable targets are used as targets provided by the virtual store and displayed on a target selection interface of the virtual store, and the user can select and place orders in the virtual store. There may be multiple real stores behind one tag, for example, there may be 5 nearby 3km merchants selling coca-cola.

In the embodiment of the present application, optionally, the candidate commodity combinations include at least one, each candidate commodity combination is determined based on a preset policy, and the order information includes each candidate commodity combination and a preset policy corresponding to the candidate commodity combination; step 103 is followed by: in response to a confirmation instruction for any candidate commodity combination, a target order is determined based on the any candidate commodity combination.

In this embodiment, the candidate commodity combinations obtained by the client may include one or more candidate commodity combinations, each candidate commodity combination is determined based on a preset policy, for example, the preset policies may include a lowest price policy, a fastest delivery policy, a highest cost performance policy, and the like, when the client displays order information, the client may display the preset policies corresponding to the candidate commodity combinations in addition to the candidate commodity combinations, and the user may confirm the candidate commodity combinations based on the displayed candidate commodity combinations to generate the target orders.

By applying the technical scheme of the embodiment, based on the target objects to be placed selected from the selectable objects, the candidate object combination including the objects corresponding to the target objects is obtained, and the order information including the candidate object combination is displayed, so that order creation is performed based on the order information. Compared with the mode of carrying out commodity shopping on the basis of stores in the prior art, the commodity shopping method and the system have the advantages that the store information is shielded in the mode of providing the selectable standard products corresponding to the commodities, the commodities provided by the stores can be more conveniently purchased without perception by a user, corresponding commodity combinations can be automatically obtained for the target standard products selected by the user after the target standard products are selected, the complex operation that the stores need to be switched when the user buys the commodities in the stores is avoided, meanwhile, the user does not need to submit orders for many times, and the pressure of a server is reduced.

In this embodiment, an order generation method is provided, as shown in fig. 2, the method includes:

step 201, at least one target object to be placed is received.

Step 202, respectively obtaining the order-placing commodities corresponding to each target standard, screening the order-placing commodities according to a preset strategy, and constructing a candidate commodity combination containing the commodities corresponding to each target standard.

Step 203, displaying the order information containing the candidate commodity combination.

In this embodiment, at least one target object to be ordered selected by a user is received, a corresponding ordering commodity is obtained for each target object, for example, the target object is a certain type of cola, and the type of cola provided by stores within a certain ordering range is obtained as the ordering commodity. And after the order-capable commodities of each target standard article are further obtained, screening the order-capable commodities to obtain a candidate commodity combination containing the commodities of each target standard article, wherein the order-capable commodities can be screened according to a preset strategy, such as a low-price strategy, a fastest distribution strategy and the like. And finally, displaying order information containing the candidate commodity combination for the user to select and confirm so as to generate an order. Step 202 may be performed locally by the client, or the target object may be sent to the server, calculated by the server, and fed back to the client.

Further, as a refinement and an extension of the specific implementation of the above embodiment, in order to fully illustrate the specific implementation process of the embodiment, another order generation method is provided, as shown in fig. 3, and the method includes:

step 301, in response to a request instruction of a virtual store, acquiring at least one real store corresponding to the virtual store based on a target delivery position, where the target delivery position includes a current positioning position or a preset delivery position; determining selectable standard products of the virtual shop according to the goods on shelves provided by each real shop; and constructing and displaying a standard product selection interface of the virtual shop, wherein the standard product selection interface comprises the selectable standard product.

In the embodiment of the application, the platform can provide an entrance into the virtual shop, when a user requests to perform the virtual shop, in response to a request instruction, the real shops within a certain range of a target distribution position or the real shops capable of being distributed to the target distribution position are obtained according to a current positioning position or a preset distribution position set by the user, and the real shops are sorted and summarized into the virtual shop, so that the user can select and purchase the virtual shop provided by the platform, and the trouble caused by browsing different shops one by one is avoided. After the real stores corresponding to the virtual stores are determined, the goods on shelves provided by each real store are obtained, the goods on shelves provided by the real stores are combined in the same type to obtain a plurality of goods groups, each group of goods is determined to be a selectable standard, the selectable standard of the virtual stores is constructed, then a standard selection interface of the virtual stores is displayed, and the selectable standards are displayed on the interface according to a certain sequence.

Step 302, at least one target object to be placed is received.

In this embodiment, the user may select the selectable target object displayed in the object selection interface to obtain at least one target object to be placed.

Step 303, obtaining current scene information, where the current scene information includes at least one of user information, time interval information, and the target distribution position.

Step 304, determining a shop score of each real shop under the current scene based on the current scene information, the real shop information and a preset shop screening model, wherein the preset shop screening model comprises at least one, and each preset shop screening model is established based on respective shop screening rules; and acquiring the first candidate shop according to the shop score of the real shop.

Step 305, obtaining the orderable goods corresponding to each target object in the first shelving goods provided by the first candidate shop.

In the above embodiment, since there may be a large number of real stores corresponding to the virtual stores and a large number of stores providing the target object, in order to reduce the calculation amount before obtaining the order-assignable goods corresponding to the target object, a plurality of candidate stores with higher quality may be screened out from the real stores corresponding to the virtual stores, and the order-assignable goods corresponding to the target object may be determined based on the screened candidate stores, so as to reduce the calculation amount in the subsequent determination of the candidate goods combination. Specifically, current scene information such as user information, time interval information and target distribution positions is obtained firstly, then based on the current scene information and real shops corresponding to virtual shops, each real shop is scored under the current scene through a preset shop screening model, shop scores of each real shop under the current scene are obtained, shops with higher scores are screened out according to the shop scores to serve as first candidate shops, and finally order-placing commodities corresponding to target objects are obtained in the first candidate shops. In an actual application scene, modeling can be performed on a shop selection process according to user information, time period information and AOI position information, specifically, a depth model method can be adopted, cross dimension characteristics are built through DeepCrossNet, and information more relevant to the current scene is activated through GateNet. And then selecting between a high cost performance shop and a large-market shop according to the model scoring result, wherein the cost performance shop is used for ensuring low price, the large-market shop is used for better covering the user requirements, and the number of candidate shops can be defined by integrating the online performance. The selection of a proper amount of candidate stores not only can reduce the calculation complexity of the subsequent acquisition of the commodity combination, but also can limit the number of the detached orders of the target standard product to a certain extent (the number of stores corresponding to the final purchased commodities is the number of the detached orders), and is favorable for solving the problem that the excessive detached orders affect the user experience.

In the embodiment of the application, optionally, the preset store screening model includes a plurality of models, and each preset store screening model is established based on a corresponding store screening rule; in step 304, "obtaining the first candidate store according to the store score of the real store", specifically includes: and screening real shops with the shop scores ranked from high to low in the front-listed shop screening number as the first candidate shop based on the respective shop screening number corresponding to each preset shop screening model.

In this embodiment, the preset store screening model may be established according to different store screening rules, and when the stores are screened, the store scores of the real stores may be calculated by using each preset store screening model, for example, the preset store screening model includes a cost performance screening model and a shopping mall screening model, the real stores are scored from two weight directions of cost performance and commodity coverage, respectively, and after the store scores corresponding to each store screening rule are determined, the real stores of a number corresponding to each store screening rule may be screened according to the store scores, for example, 2 stores with individual price ratio and 1 shopping mall are screened out as the first store candidate.

In this embodiment of the present application, optionally, step 305 specifically includes:

step 305-1, judging whether the first shelving commodity provided by the first candidate shop covers all the target objects or not;

step 305-2, if the judgment result is yes, obtaining the order-capable goods corresponding to each target standard article from the first goods on shelves provided by the first candidate shop;

step 305-3, if the determination result is negative, acquiring a second candidate store in the real store according to the target standard goods uncovered by the first shelving goods, and acquiring the order-placing goods corresponding to each target standard goods in the first shelving goods and the second shelving goods provided by the second candidate store.

In this embodiment, before obtaining the orderable item, it may be determined whether all target objects are covered in the first listed item provided by the screened first candidate store, if the target objects are completely covered, the orderable item corresponding to the target object is directly obtained from the first listed item, and if the target objects are not completely covered, the candidate stores need to be supplemented.

Step 306, regarding each target object as a group, placing one ordering commodity corresponding to the target object in each group, and enumerating an initial commodity combination including the ordering commodity corresponding to each target object.

Step 307, respectively calculating a combination score of each initial commodity combination according to at least one preset strategy, and obtaining the candidate commodity combination corresponding to the at least one preset strategy in the initial commodity combinations according to the combination score, wherein the preset strategy includes at least one of a low-price priority strategy, a distribution priority strategy and a comprehensive scoring strategy.

In this embodiment, in the stage of performing combinatorial optimization solution on the order-placing commodities for the target commodities, a dynamic programming method may be adopted to abstract the problem as a grouping backpack MCKP problem, to group each target commodity selected by the corresponding user, to actually mount the order-placing commodity on the target commodity corresponding to the object, and to target to select one corresponding order-placing commodity for each target commodity, so that the final order-placing scheme satisfies certain conditions, for example, the total price of the commodity is the lowest, and the commodity distribution speed is the fastest. In a specific application process, commodity combinations corresponding to target objects can be enumerated to obtain initial commodity combinations, and then combination scores are calculated respectively for each initial commodity combination, wherein when a preset strategy is a low price priority strategy, the combination scores can be total commodity prices corresponding to the initial commodity combinations, when the preset strategy is a distribution priority strategy, the combination scores can be distribution time lengths corresponding to the initial commodity combinations (the latest distribution can be expected to be used as the distribution time lengths), and when the preset strategy is a comprehensive scoring strategy, the combination scores can be calculated based on the commodity score average values, the total commodity prices and the distribution time lengths corresponding to the initial commodity combinations. Finally, after the combination scores of the initial commodity combinations are calculated according to the preset strategies, the combination with the highest score under each strategy can be selected as the candidate commodity combination corresponding to the corresponding strategy.

In the calculation of the score of the product combination, it is necessary to dynamically consider the preference such as the full reduction of the product combination, the influence of the distribution factor on the distribution time, and the like. In addition, in order to reduce the calculation complexity, the number of pieces of disassembled goods corresponding to the target object can be limited, that is, the number of real stores corresponding to the goods included in the initial goods combination is limited, for example, after the initial goods combination with the number of real stores exceeding 3 is filtered, the combination score is calculated, and the calculation efficiency is improved.

Step 308, displaying the order information containing the candidate commodity combination.

Step 309, in response to the confirmation instruction for any candidate commodity combination, determining the target order based on any candidate commodity combination.

In this embodiment, after determining the candidate commodity combination corresponding to the target object, order information including the candidate commodity combination is displayed, the user can see contents such as a total commodity price and a delivery duration corresponding to each candidate commodity combination through the order information, the candidate commodity combination in the order information can also mark which preset strategy the combination is determined based on, so that the user can select a commodity combination which the user finally wants to place an order from the combination, and based on a confirmation instruction of the user on any one of the candidate commodity combinations, a target order is generated for the combination, and creation of the order is completed. Through the technical means, the trouble that a user compares a plurality of shops is avoided, and the user experience is improved.

It should be noted that the embodiment can be executed by matching a client and a server, when a user enters a virtual store through a client request, the client sends the request to the server to request the server to display selectable markers of the virtual store, the client determines a target marker based on a selection operation of the user on the selectable markers and then sends the target marker to the server, the server calculates a candidate commodity combination, the client displays order information containing the candidate commodity combination, the candidate commodity combination or combination identification selected by the user is fed back to the server based on a confirmation instruction of the user on any candidate commodity combination, and a target order is created through the server.

Further, as a specific implementation of the method in fig. 1, an embodiment of the present application provides an order generating apparatus, as shown in fig. 4, the apparatus includes:

Optionally, the candidate commodity combination includes at least one, each candidate commodity combination is determined based on a preset strategy, and the order information includes each candidate commodity combination and a preset strategy corresponding to the candidate commodity combination;

the device further comprises: and the order determining module is used for responding to a confirmation instruction of any candidate commodity combination after displaying the order information containing the candidate commodity combination and determining a target order based on any candidate commodity combination.

Further, as a specific implementation of the method in fig. 2, an embodiment of the present application provides an order generating apparatus, as shown in fig. 5, the apparatus includes:

the combination determining module is used for respectively obtaining order-capable commodities corresponding to each target standard article, screening the order-capable commodities according to a preset strategy and constructing a candidate commodity combination containing the commodities corresponding to each target standard article;

Optionally, the apparatus further comprises:

the system comprises a shop request module, a scheduling module and a scheduling module, wherein the shop request module is used for responding to a request instruction of a virtual shop before receiving at least one target standard product to be ordered and acquiring at least one real shop corresponding to the virtual shop based on a target delivery position, and the target delivery position comprises a current positioning position or a preset delivery position; and the number of the first and second groups,

Optionally, the combination determining module is specifically configured to:

Optionally, the combination determining module is further configured to:

after the first candidate shop is obtained according to the shop score of the real shop, whether the first shelving commodity provided by the first candidate shop covers all the target standard goods is judged;

Optionally, the combination determining module is further configured to:

Optionally, the apparatus further comprises:

It should be noted that other corresponding descriptions of the functional units related to the order generation apparatus provided in the embodiment of the present application may refer to corresponding descriptions in the methods in fig. 1 to fig. 3, and are not described herein again.

Based on the above methods shown in fig. 1 to 3, correspondingly, an embodiment of the present application further provides a storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the order generating method shown in fig. 1 to 3.

Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the implementation scenarios of the present application.

Based on the method shown in fig. 1 to fig. 3 and the virtual device embodiment shown in fig. 4 to fig. 5, in order to achieve the above object, the present application further provides a computer device, which may specifically be a personal computer, a server, a network device, and the like, where the computer device includes a storage medium and a processor; a storage medium for storing a computer program; a processor for executing a computer program to implement the order generation method as described above and illustrated in fig. 1 to 3.

Optionally, the computer device may also include a user interface, a network interface, a camera, Radio Frequency (RF) circuitry, sensors, audio circuitry, a WI-FI module, and so forth. The user interface may include a Display screen (Display), an input unit such as a keypad (Keyboard), etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (e.g., a bluetooth interface, WI-FI interface), etc.

It will be appreciated by those skilled in the art that the present embodiment provides a computer device architecture that is not limiting of the computer device, and that may include more or fewer components, or some components in combination, or a different arrangement of components.

The storage medium may further include an operating system and a network communication module. An operating system is a program that manages and maintains the hardware and software resources of a computer device, supporting the operation of information handling programs, as well as other software and/or programs. The network communication module is used for realizing communication among components in the storage medium and other hardware and software in the entity device.

Through the above description of the embodiments, those skilled in the art may clearly understand that the present application may be implemented by software plus a necessary general hardware platform, and may also implement, by hardware, based on a target object to be ordered selected from selectable objects, a candidate object combination including an object corresponding to each target object is obtained, and order information including the candidate object combination is displayed, so as to create an order based on the order information. Compared with the mode of commodity selective purchasing based on stores in the prior art, the method and the system have the advantages that store information is shielded in the mode of providing the selectable standard products corresponding to commodities, the commodities provided by the stores are convenient to selective purchase under the condition that a user does not feel, corresponding commodity combinations can be automatically obtained for the target standard products selected by the user after the target standard products are selected, the complex operation that the stores need to be switched when the user selectively purchases the commodities in the stores is avoided, meanwhile, the user does not need to submit orders for many times, and the pressure of a server is reduced.

Those skilled in the art will appreciate that the drawings are merely schematic representations of preferred embodiments and that the blocks or flowchart illustrations are not necessary to practice the present application. Those skilled in the art will appreciate that the modules in the devices in the implementation scenario may be distributed in the devices in the implementation scenario according to the description of the implementation scenario, or may be located in one or more devices different from the present implementation scenario with corresponding changes. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.

The above application serial numbers are for description purposes only and do not represent the superiority or inferiority of the implementation scenarios. The above disclosure is only a few specific implementation scenarios of the present application, but the present application is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present application.

Claims

1. An order generation method, characterized in that the method comprises:

2. The method of claim 1, wherein prior to determining at least one target standard to be placed based on the selection data for the selectable standards, the method further comprises:

3. The method of claim 1, wherein the candidate product combinations comprise at least one, each candidate product combination is determined based on a preset strategy, and the order information comprises each candidate product combination and its corresponding preset strategy;

4. An order generation method, characterized in that the method comprises:

receiving at least one target object to be placed;

5. The method of claim 4, wherein prior to receiving at least one target object to be placed, the method further comprises:

6. The method according to claim 5, wherein the respectively obtaining the orderable goods corresponding to each target standard article specifically comprises:

7. An order generating apparatus, characterized in that the apparatus comprises:

8. An order generating apparatus, characterized in that the apparatus comprises:

the system comprises a standard article receiving module, a target product receiving module and a target product ordering module, wherein the standard article receiving module is used for receiving at least one target standard article to be ordered;

9. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method of any of claims 1 to 6.

10. A computer device comprising a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, characterized in that the processor implements the method of any one of claims 1 to 6 when executing the computer program.