CN113554493A - Interactive ordering method, device, electronic equipment and computer readable medium - Google Patents
Interactive ordering method, device, electronic equipment and computer readable medium Download PDFInfo
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- CN113554493A CN113554493A CN202110878702.XA CN202110878702A CN113554493A CN 113554493 A CN113554493 A CN 113554493A CN 202110878702 A CN202110878702 A CN 202110878702A CN 113554493 A CN113554493 A CN 113554493A
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- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0611—Request for offers or quotes
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Abstract
The application discloses an interactive ordering method, an interactive ordering device, electronic equipment and a computer readable medium, wherein the method comprises the following steps: in response to an order placing trigger signal of a shop user terminal for a commodity, inquiring order placing trigger signals of other shop user terminals for the same commodity; counting the total order placing amount of the commodities and the total number of the order placing shops corresponding to the commodities according to order placing trigger signals of other shop user terminals, and generating an order gathering and purchasing price; feeding back the total amount of the commodities issued orders, the total number of the issued orders and the price for initiating order-sharing purchase to the shop user terminal; and responding to the order placing confirmation signal of the shop user terminal aiming at the initiated order splicing and purchasing price, generating a purchasing order taking the final order splicing and purchasing price contained in the order placing confirmation signal as a purchasing price, and sending the purchasing order to the shop user terminal. The method and the system have the advantages that the shop with the same purchasing intention is actively triggered and aggregated, so that the proper order price can be obtained.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to an interactive ordering method, an interactive ordering apparatus, an electronic device, and a computer-readable medium.
Background
The existing small and medium-sized convenience stores usually carry out off-line commodity purchase at suppliers through own channels, and due to the characteristics of the small and medium-sized convenience stores, the small and medium-sized convenience stores cannot purchase goods in large batches, so that effective bargaining can not be carried out with the suppliers, and meanwhile, due to the requirement of wholesale of the suppliers on the purchase quantity, the small and medium-sized convenience stores need to guarantee a certain scale for each purchase, so that the inventory problem is caused.
From the perspective of suppliers, the scattered purchasing mode of small and medium-sized convenience stores leads to the increase of the warehousing cost of the suppliers, so that the supply price is kept high.
In the related art, orders of a plurality of shops are collected in an internet platform mode, then uniform purchasing and logistics goods taking are carried out on the orders to a supplier, and then a carrier vehicle distributes the orders to the corresponding shops according to the purchasing orders, so that the warehousing cost of shops such as convenience stores is reduced, and the purchasing flexibility is improved.
However, the technical scheme is based on the collection of orders of a plurality of stores, if the order-piecing price is only passively displayed, the order-piecing effect cannot be maximized, for example, if the order-piecing price is fixed at a higher price, the enthusiasm of the store user for placing orders is reduced, the order-piecing price is fixed at a lower price, and the platform cost loss is caused when the number of stores for placing orders is less.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present application propose an interactive ordering method, apparatus, electronic device and computer readable medium to solve the technical problems mentioned in the background section above.
As a first aspect of the present application, some embodiments of the present application provide an interactive ordering method, including: in response to an order placing trigger signal of a shop user terminal for a commodity, inquiring order placing trigger signals of other shop user terminals for the same commodity; counting the total order placing amount of the commodities and the total number of the order placing shops corresponding to the commodities according to order placing trigger signals of other shop user terminals, and generating an order gathering and purchasing price; feeding back the total amount of the commodities issued orders, the total number of the issued orders and the price for initiating order-sharing purchase to the shop user terminal; and responding to the order placing confirmation signal of the shop user terminal aiming at the initiated order splicing and purchasing price, generating a purchasing order taking the final order splicing and purchasing price contained in the order placing confirmation signal as a purchasing price, and sending the purchasing order to the shop user terminal.
As a second aspect of the present application, some embodiments of the present application provide an interactive ordering apparatus, including: the inquiry module is used for responding to the order placing trigger signal of the shop user terminal aiming at one commodity and inquiring the order placing trigger signals of other shop user terminals aiming at the same commodity; the price module is used for counting the total order placing amount of the commodities and the total number of the order placing shops corresponding to the commodities according to order placing trigger signals of other shop user terminals and generating an order gathering and purchasing price; the initiating module is used for feeding back the total amount of the commodities issued orders, the total amount of the issued orders and the initiating order-sharing purchase price to the shop user terminal; and the order module is used for responding to the order placing confirmation signal of the shop user terminal aiming at the initiated order splicing and purchasing price, generating a purchasing order taking the final order splicing and purchasing price contained in the order placing confirmation signal as a purchasing price and sending the purchasing order to the shop user terminal.
As a third aspect of the present application, some embodiments of the present application provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
As a fourth aspect of the present application, some embodiments of the present application provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The beneficial effect of this application lies in: and the stores with the same purchasing intention are actively triggered and aggregated to obtain a more proper order price.
More specifically, some embodiments of the present application may produce the following specific benefits: firstly, generating a proper order price in an interactive feedback mode; secondly, the order placing willingness of the shop user is promoted in a multi-party feedback mode.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it.
Further, throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
In the drawings:
FIG. 1 is a flow diagram of an interactive ordering method according to one embodiment of the present application;
FIG. 2 is a flow diagram of a portion of the steps of an interactive ordering method according to one embodiment of the present application;
FIG. 3 is a flow diagram of another portion of the steps in an interactive ordering method according to one embodiment of the present application;
FIG. 4 is a flowchart of yet another portion of the steps in an interactive ordering method according to one embodiment of the present application;
FIG. 5 is a schematic diagram of an interactive ordering apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present application. It should be understood that the drawings and embodiments of the present application are for illustration purposes only and are not intended to limit the scope of the present application.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present application are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this application are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that reference to "one or more" unless the context clearly dictates otherwise.
The names of messages or information exchanged between a plurality of devices in the embodiments of the present application are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Referring to fig. 1, the interactive ordering method of the present application includes the following steps:
s1: and responding to the order placing trigger signal of the shop user terminal aiming at one commodity, and inquiring the order placing trigger signals of other shop user terminals aiming at the same commodity.
As a specific scheme, the shop user terminal generates an order placing trigger signal in a mode of being added to a shopping cart. Alternatively, the shop user terminal generates the ordering trigger signal by voice ordering. The shop terminal may be configured as a smartphone.
S2: and counting the total order placing amount of the commodities corresponding to the commodities and the total number of the order placing shops according to order placing trigger signals of user terminals of other shops, and generating an order gathering and purchasing price.
S3: and feeding back the total amount of the commodities issued orders, the total number of the issued orders and the purchase price for initiating the order combination to the shop user terminal.
Specifically, the total amount of the placed orders of the commodities, the total number of the placed stores and the price for initiating the assembly and purchase can be fed back to store users in an APP prompt tag mode, the tag content can be 'XX products are placed in the existing XX stores, and the unit price of the assembly is as low as XX unit'.
S4: and responding to an order placing confirmation signal of the shop user terminal aiming at the initiated order-gathering and purchasing price, generating a final order-gathering and purchasing price contained in the order placing confirmation signal as a purchasing order of the purchasing price, and sending the final order-gathering and purchasing price to the shop user terminal.
Referring to fig. 2, step S1 specifically includes the following steps: determining the inquiry range of other shops according to the shop groups of the shop user terminals; and extracting the commodity SKU codes in the ordering trigger signals, and inquiring the store user terminals containing the same commodity SKU codes in other ordering trigger signals in the store group according to the commodity SKU codes.
It should be noted that the query is performed in the range of the shop group, on one hand, because shops with similar degrees and similar regions are easier to generate similar orders, and on the other hand, similar shops are easier to realize price-sharing prediction.
Preferably, the shop grouping method specifically includes the steps of: acquiring historical purchase order data of a shop; calculating the average purchase order value of the shop according to the historical purchase order data of the shop; establishing a three-dimensional coordinate system by taking the average order value as a third dimension; acquiring coordinate values of shops paved in the three-dimensional coordinate system; performing K-Means clustering operation by using coordinate values of the stores in a three-dimensional coordinate system; and dividing the shop groups according to the K-Means clustering operation result.
By adopting the scheme, more reasonable shop groups can be obtained, so that the data have commonality, and the data are universal in later periods and the design of a neural network model is facilitated.
As shown in fig. 3, step S2 specifically includes the following steps: generating a simulated logistics order according to the addresses of the store user terminals and the order placing quantity contained in the total order placing amount of the commodities and the total order placing amount of the stores; and generating an initiating order-gathering purchase price according to the expense of the logistics order, the unit price of the commodity cost and the total amount of the issued orders of the commodity. That is, the price is estimated by generating the actual logistics order in a manner of simulating that the shop user has made an order, and a specific algorithm is described in the related art, which is not the core step of the method of the present application and is not described herein again.
As shown in fig. 4, step S4 specifically includes the following steps: updating the simulated logistics order according to the addresses of all the shop user terminals sending order placing confirmation signals and the respective order placing quantity; and generating a final order-piecing purchase price according to the cost of the simulated logistics order, the commodity cost unit price and the commodity order placing total amount.
Specifically, the order placing confirmation signal may generate a signal for the user to confirm the order placing operation or a signal triggered by the user to confirm the voice data of the order placing. For example, the user clicks a "confirm order" button on the APP interface for a certain item.
The method shown in fig. 4 also corresponds to simulating the real price generated after real ordering.
Preferably, step S4 sends the final price of the invoice from the store user terminal, which is fed back by way of a payment prompt, such as a prompt interface "invoice is validated, final price of invoice is XX, please finish payment", if the user performs payment operation, the purchase order is validated, and if the user refuses payment, the order is invalidated. At this time, the system needs to count the proportion of the users who do not complete payment, and if the proportion is lower than a preset threshold, the system continues to use the price changed as the order price. And if the proportion is higher than a preset threshold value, determining that the order placing of the interaction is invalid.
As another preferred solution, in order to improve the processing efficiency and reduce the computation time of the simulated logistics order, the steps S2 and S4 may also obtain the price prediction by using a machine learning model.
Alternatively, step S2 includes the steps of: inputting the total order quantity of the commodities, the total number of the orders of the shops and the corresponding SKU codes of the commodities as input data into the unit spelling price prediction model so that the unit spelling price prediction model outputs a predicted unit spelling purchase price and a corresponding confidence coefficient; and judging whether the confidence coefficient is greater than a confidence coefficient threshold value, if so, selecting the predicted order splitting purchase price as an initiating order splitting purchase price, and if not, acquiring the initiating order splitting purchase price in a mode of generating a simulation logistics order.
In order to realize the step, the total amount of the orders of the commodities, the total amount of the stores of the orders and the corresponding SKU codes of the commodities are used as input data to be input, and the predicted order gathering and purchasing price is used as output data to train the unit-piecing price prediction model. This is also a benefit of using store groups, and choosing data of similar stores is beneficial to training of the piecemeal prediction model.
Similarly, as an alternative, step S4 includes the steps of: inputting the total commodity ordering amount, the total ordering shop amount and the corresponding commodity SKU codes of all shop user sides which send ordering confirmation signals into the unit spelling lattice prediction model as input data so that the unit spelling lattice prediction model outputs a predicted unit spelling acquisition price and a corresponding confidence coefficient; and judging whether the confidence coefficient is greater than a confidence coefficient threshold value, if so, selecting the predicted order splitting purchase price as a final order splitting purchase price, and if not, acquiring the final order splitting purchase price in a mode of generating a simulation logistics order.
Step S2 and step S4 may use the same piecing unit cell prediction model.
As shown in fig. 5, an interactive ordering apparatus according to some embodiments of the present application includes: the inquiry module is used for responding to the order placing trigger signal of the shop user terminal aiming at one commodity and inquiring the order placing trigger signals of other shop user terminals aiming at the same commodity; the price module is used for counting the total order placing amount of the commodities and the total number of the order placing shops corresponding to the commodities according to order placing trigger signals of other shop user terminals and generating an order gathering and purchasing price; the initiating module is used for feeding back the total amount of the commodities issued orders, the total amount of the issued orders and the initiating order-sharing purchase price to the shop user terminal; and the order module is used for responding to the order placing confirmation signal of the shop user terminal aiming at the initiated order splicing and purchasing price, generating a purchasing order taking the final order splicing and purchasing price contained in the order placing confirmation signal as a purchasing price and sending the purchasing order to the shop user terminal.
As shown in fig. 6, the electronic device 800 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 801 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage means 808 into a Random Access Memory (RAM) 803. In the RAM803, various programs and data necessary for the operation of the electronic apparatus 800 are also stored. The processing apparatus 801, the ROM802, and the RAM803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.
Generally, the following devices may be connected to the I/O interface 805: input devices 806 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.: output devices 807 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 808 including, for example, magnetic tape, hard disk, etc.: and a communication device 809. The communication means 809 may allow the electronic device 800 to communicate wirelessly or by wire with other devices to exchange data. While fig. 6 illustrates an electronic device 800 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 6 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through communications device 809, or installed from storage device 808, or installed from ROM 802. The computer program, when executed by the processing apparatus 801, performs the above-described functions defined in the methods of some embodiments of the present application.
It should be noted that the computer readable medium described above in some embodiments of the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In some embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present application, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (hypertext transfer protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be one contained in the electronic device: or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: in response to an order placing trigger signal of a shop user terminal for a commodity, inquiring order placing trigger signals of other shop user terminals for the same commodity; counting the total order placing amount of the commodities and the total number of the order placing shops corresponding to the commodities according to order placing trigger signals of other shop user terminals, and generating an order gathering and purchasing price; feeding back the total amount of the commodities issued orders, the total number of the issued orders and the price for initiating order-sharing purchase to the shop user terminal; and responding to the order placing confirmation signal of the shop user terminal aiming at the initiated order splicing and purchasing price, generating a purchasing order taking the final order splicing and purchasing price contained in the order placing confirmation signal as a purchasing price, and sending the purchasing order to the shop user terminal.
Computer program code for carrying out operations for embodiments of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and including the conventional procedural programming languages: such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s).
It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures.
For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the present application and is provided for the purpose of illustrating the general principles of the technology. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present application is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present application are mutually replaced to form the technical solution.
Claims (10)
1. An interactive ordering method is characterized in that: the interactive ordering method comprises the following steps:
in response to an order placing trigger signal of a shop user terminal for a commodity, inquiring order placing trigger signals of other shop user terminals for the same commodity;
counting the total order placing amount of the commodities and the total number of the order placing shops corresponding to the commodities according to order placing trigger signals of other shop user terminals, and generating an order gathering and purchasing price;
feeding back the total amount of the commodities issued orders, the total number of the issued orders and the price for initiating order-sharing purchase to the shop user terminal;
and responding to the order placing confirmation signal of the shop user terminal aiming at the initiated order splicing and purchasing price, generating a purchasing order taking the final order splicing and purchasing price contained in the order placing confirmation signal as a purchasing price, and sending the purchasing order to the shop user terminal.
2. The interactive ordering method according to claim 1, characterized in that:
the shop user terminal generates the ordering trigger signal in a mode of adding to a shopping cart.
3. The interactive ordering method according to claim 2, characterized in that:
and the shop user terminal generates the order placing trigger signal in a voice order placing mode.
4. The interactive ordering method according to claim 3, characterized in that:
the step of responding to the order placing trigger signal of the shop user terminal aiming at one commodity and inquiring the order placing trigger signals of other shop user terminals aiming at the same commodity SKU comprises the following steps:
determining the query range of other shops according to the shop group of the shop user terminal;
and extracting the commodity SKU codes in the ordering trigger signals, and inquiring the store user terminals containing the same commodity SKU codes in other ordering trigger signals in the store group according to the commodity SKU codes.
5. The interactive ordering method according to claim 4, characterized in that:
the step of counting the total order placing amount of the commodities corresponding to the commodities and the total number of the shops placing the orders according to the order placing trigger signals of the other shop user terminals and generating the order gathering and purchasing price for initiating the order splicing comprises the following steps:
generating a simulated logistics order according to the addresses of the store user terminals and the order placing quantity contained in the total order placing amount of the commodities and the total order placing amount of the order placing stores;
and generating the purchase price of the initiated order combination according to the expense of the logistics order, the unit price of the commodity cost and the total amount of the issued order of the commodity.
6. The interactive ordering method according to claim 5, characterized in that:
the step of generating a purchase order with the final order-gathering purchase price contained in the order-placing confirmation signal as the purchase price in response to the order-placing confirmation signal of the shop user terminal for the initiated order-gathering purchase price and sending the purchase order to the shop user terminal includes the steps of:
updating the simulated logistics orders according to the addresses of all the shop user terminals sending the ordering confirmation signals and the respective ordering quantity;
and generating the final order-piecing purchase price according to the cost of the simulated logistics order, the commodity cost unit price and the commodity order placing total amount.
7. The interactive ordering method according to claim 6, characterized in that:
the step of counting the total order placing amount of the commodities corresponding to the commodities and the total number of the shops placing the orders according to the order placing trigger signals of the other shop user terminals and generating the order gathering and purchasing price for initiating the order splicing comprises the following steps:
inputting the total commodity ordering amount, the total ordering shop amount and the corresponding commodity SKU codes serving as input data into a unit spelling lattice prediction model so that the unit spelling lattice prediction model outputs a predicted unit spelling acquisition price and a corresponding confidence coefficient;
judging whether the confidence coefficient is greater than a confidence coefficient threshold value, if so, selecting the predicted order splicing purchase price as the initiated order splicing purchase price, and if not, acquiring the initiated order splicing purchase price in a mode of generating a simulated logistics order;
the step of generating a purchase order with the final order-gathering purchase price contained in the order-placing confirmation signal as the purchase price in response to the order-placing confirmation signal of the shop user terminal for the initiated order-gathering purchase price and sending the purchase order to the shop user terminal includes the steps of:
inputting the total commodity ordering amount, the total ordering shop amount and the corresponding commodity SKU codes of all shop user sides which send ordering confirmation signals into a unit spelling lattice prediction model as input data so that the unit spelling lattice prediction model outputs a predicted unit spelling acquisition price and a corresponding confidence coefficient;
and judging whether the confidence coefficient is greater than a confidence coefficient threshold value, if so, selecting the predicted order splicing purchase price as the final order splicing purchase price, and if not, acquiring the final order splicing purchase price by adopting a mode of generating a simulated logistics order.
8. An interactive ordering apparatus comprising:
the inquiry module is used for responding to the order placing trigger signal of the shop user terminal aiming at one commodity and inquiring the order placing trigger signals of other shop user terminals aiming at the same commodity;
the price module is used for counting the total order placing amount of the commodities and the total number of the order placing shops corresponding to the commodities according to order placing trigger signals of other shop user terminals and generating an order gathering and purchasing price;
the initiating module is used for feeding back the total amount of the commodities issued orders, the total amount of the issued orders and the initiating order-sharing purchase price to the shop user terminal;
and the order module is used for responding to the order placing confirmation signal of the shop user terminal aiming at the initiated order splicing and purchasing price, generating a purchasing order taking the final order splicing and purchasing price contained in the order placing confirmation signal as a purchasing price and sending the purchasing order to the shop user terminal.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the processors to implement the method of any one of claims 1 to 7.
10. A computer-readable medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
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| CN114331287A (en) * | 2021-12-30 | 2022-04-12 | 钻技(上海)信息科技有限公司 | Order placing method, device and storage medium for take-out platform |
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