CN113554493B - Interactive ordering method, device, electronic equipment and computer readable medium - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000002452 interceptive effect Effects 0.000 title claims abstract description 18
- 238000012790 confirmation Methods 0.000 claims abstract description 23
- 230000000977 initiatory effect Effects 0.000 claims abstract description 23
- 230000003993 interaction Effects 0.000 claims description 2
- 230000001960 triggered effect Effects 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000004590 computer program Methods 0.000 description 8
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- 238000004891 communication Methods 0.000 description 6
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- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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: responding to a single-shot signal of a store user terminal aiming at one commodity, and inquiring the single-shot signals of other store user terminals aiming at the same commodity; counting the total commodity ordering amount and the total ordered store amount corresponding to the commodity according to the ordering trigger signals of other store user terminals, and generating an initiating spelling purchase price; feeding back the commodity order total quantity, the order store total quantity and the initial spelling purchase price to the store user terminal; and responding to the order confirmation signal of the store user terminal for initiating the purchase price of the spelling list, generating a purchase order taking the final spelling list purchase price contained in the order confirmation signal as the purchase price, and sending the purchase order to the store user terminal. The method has the beneficial effects that the stores with the same purchase will are actively triggered and aggregated, so that a proper price of the spelling list is 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 device, an electronic device, and a computer readable medium.
Background
The existing small and medium-sized convenience stores often carry out online commodity purchasing at suppliers through own channels, and cannot purchase goods in large quantities due to the characteristics of the small and medium-sized convenience stores, so that effective bargained price cannot be carried out with the suppliers, and meanwhile, due to the requirement of wholesale of the suppliers on purchasing quantity, the small and medium-sized convenience stores need to guarantee a certain scale every time of purchasing, so that inventory problems are caused.
From the perspective of suppliers, the scattered purchasing mode of small and medium-sized convenience stores leads to the increase of the warehouse cost of the suppliers, thereby leading to the high supply price.
In the related art, orders of a plurality of stores are collected through an internet platform mode, unified purchase and logistics goods taking are carried out on suppliers, and then the suppliers are distributed to corresponding stores through carrier vehicles according to the purchase orders, so that storage cost of stores such as convenience stores is reduced, and the purchase flexibility is improved.
However, the technical scheme is based on the collection of a plurality of store orders, if only the price of the spelling list is passively displayed, the spelling effect cannot be maximized, for example, if the spelling unit price is fixed at a higher price, the enthusiasm of store users for ordering is reduced, and if the spelling unit price is fixed at a lower price, the platform cost loss is caused when the ordering stores are fewer.
Disclosure of Invention
The summary of the application is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. The summary of the application 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 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: responding to a single-shot signal of a store user terminal aiming at one commodity, and inquiring the single-shot signals of other store user terminals aiming at the same commodity; counting the total commodity ordering amount and the total ordered store amount corresponding to the commodity according to the ordering trigger signals of other store user terminals, and generating an initiating spelling purchase price; feeding back the commodity order total quantity, the order store total quantity and the initial spelling purchase price to the store user terminal; and responding to the order confirmation signal of the store user terminal for initiating the purchase price of the spelling list, generating a purchase order taking the final spelling list purchase price contained in the order confirmation signal as the purchase price, and sending the purchase order to the store 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 single-shot signals of the store user terminals aiming at one commodity and inquiring the single-shot signals of other store user terminals aiming at the same commodity; the price module is used for counting the total commodity ordering amount and the total ordered store amount corresponding to the commodity according to the ordering trigger signals of other store user terminals and generating the purchase price of the initiating spelling list; the initiating module is used for feeding back the commodity ordering total quantity, the ordering store total quantity and the initiating spelling purchase price to the store user terminal; the order module is used for responding to the order confirmation signal of the store user side for initiating the purchase price of the spelling list, generating a purchase order taking the final spelling list purchase price contained in the order confirmation signal as the purchase price and sending the purchase order to the store user terminal.
As a third aspect of the present application, some embodiments of the present application provide an electronic device, including: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors causes the one or more processors to implement the method described in any of the implementations of the first aspect above.
As a fourth aspect of the application, some embodiments of the application provide a computer readable medium having a computer program stored thereon, wherein the program when executed by a processor implements the method described in any of the above-mentioned implementations of the first aspect.
The application has the beneficial effects that: and the stores with the same purchase will are actively triggered and aggregated to obtain a more proper price of the spelling list.
More specifically, some embodiments of the present application may have the following specific benefits: firstly, generating a proper spelling list price in an interactive feedback mode; secondly, the ordering will of store users is promoted in a multiparty feedback mode.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application, are incorporated in and constitute a part of this specification. The drawings and their description are illustrative of the application and are not to be construed as unduly limiting the application.
In addition, the same or similar reference numerals denote the same or similar elements throughout the drawings. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
In the drawings:
FIG. 1 is a flow chart of an interactive ordering method according to one embodiment of the application;
FIG. 2 is a flow chart of a portion of the steps of an interactive ordering method according to one embodiment of the application;
FIG. 3 is a flow chart of another part of the steps in the interactive ordering method according to one embodiment of the application;
FIG. 4 is a flowchart of a further portion of the steps in an interactive ordering method, in accordance with one embodiment of the present application;
FIG. 5 is a schematic diagram of an interactive ordering apparatus according to one embodiment of the application;
fig. 6 is a schematic structural view 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 application have been illustrated in the accompanying drawings, it is to be understood that the 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 so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the 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 present application are shown in the drawings. Embodiments of the application and features of the embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like herein are merely used for distinguishing between different devices, modules, or units and not for limiting the order or interdependence of the functions performed by such devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those skilled in the art will appreciate that "one or more" is intended to be construed as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the devices in the embodiments of the present application are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The application will be described in detail below with reference to the drawings in connection with embodiments.
Referring to fig. 1, the interactive ordering method of the present application includes the steps of:
s1: and responding to the single-shot signals of the store user terminals aiming at one commodity, and inquiring the single-shot signals of other store user terminals aiming at the same commodity.
As a specific scheme, the store user terminal generates a single trigger signal in a mode of adding the single trigger signal to a shopping cart. As another scheme, the store user terminal generates a single trigger signal in a voice ordering mode. The store terminal may be configured as a smart phone.
S2: and counting the total commodity ordering amount and the total ordered store number corresponding to the commodity according to the ordering trigger signals of other store user terminals, and generating the purchase price of the initiating spelling list.
S3: and feeding back the commodity ordering total amount, the ordering store total amount and the initial spelling purchase price to the store user terminal.
Specifically, the total commodity order quantity, the total number of the ordered stores and the purchase price of the initiating spelling list can be fed back to store users in a prompt tag mode in the APP, and the tag content can be XX pieces of the product of the ordered stores with XX numbers, and the spelling unit price is the lowest to XX pieces.
S4: and responding to the order confirmation signal of the store user side for initiating the purchase price of the spelling list, generating a final spelling list purchase price contained in the order confirmation signal as a purchase order of the purchase price, and sending the purchase order to the store user terminal.
Referring to fig. 2, step S1 specifically includes the following steps: determining query ranges of other shops according to the shop grouping of the shop user terminal; and extracting commodity SKU codes in the single-shot signals, and inquiring store user terminals containing the same commodity SKU codes in other single-shot signals in the store group according to the commodity SKU codes.
It should be noted that the inquiry is performed in the shop grouping range because, on the one hand, shops having similar degrees and similar areas are easier to generate similar orders, and on the other hand, the similar shops are easier to realize the price-sharing grid prediction.
As a preferred scheme, the store grouping method specifically comprises the following steps: acquiring historical purchase order data of a store; calculating the average purchase order value of the store according to the historical purchase order data of the store; establishing a three-dimensional coordinate system by taking the average order value as a third dimension; acquiring coordinate values of a store in the three-dimensional coordinate system; K-Means clustering operation is carried out by coordinate values of shops in a three-dimensional coordinate system; and dividing store groups according to the K-Means clustering operation result.
By adopting the scheme, more reasonable shop grouping can be obtained, so that the data has commonality, and the future data is universal and the neural network model is designed.
As shown in fig. 3, the step S2 specifically includes the following steps: generating a simulated logistics order according to the commodity ordering total amount, the addresses of store user terminals contained in the ordering total amount and the ordering quantity respectively; and generating the purchase price of the initiating splice according to the expense of the logistics order, the commodity cost unit price and the commodity ordering total amount. That is, the actual physical distribution order is generated in a manner of simulating that the store user has placed an order, etc. to estimate the price, and specific algorithms are described in the related art, and the core steps of the method of the present application are not described herein.
As shown in fig. 4, step S4 specifically includes the following steps: updating the simulated logistics orders according to the addresses of all store user terminals sending the ordering confirmation signals and the respective ordering quantity; and generating a final spelling purchase price according to the cost of the simulated commodity flow order, the commodity cost unit price and the commodity ordering total amount.
Specifically, the order confirmation signal may be a signal generated for an operation of determining the order by the user, or a signal triggered by the voice data of the order confirmed by the user. For example, the user clicks a "confirm order" button for a certain item on the APP interface.
The method shown in fig. 4 also corresponds to simulating the actual price that results after the actual order.
As a preferred scheme, the final price of the spelling list sent by the user terminal of the store in the step S4 is fed back in a payment prompting mode, for example, a prompting interface of popup contents such as "the spelling list is effective", the final spelling list price is XX, please finish payment ", if the user performs payment operation, the purchase order is effective, and if the user refuses payment, the order is invalid. At this time, the system needs to count the proportion of users who have not paid, and if the proportion is lower than the preset threshold, continue to take the price as the order price. And if the proportion is higher than a preset threshold value, confirming that the order fails under the interaction.
As another preferred scheme, in order to improve the processing efficiency and reduce the time consumption of the operation of simulating the material flow order, the steps S2 and S4 can also adopt a machine learning model to obtain the prediction of the price.
Alternatively, step S2 includes the steps of: inputting the commodity order total amount, the order store total amount and the corresponding commodity SKU codes as input data into the price-sharing price prediction model so that the price-sharing price prediction model outputs a predicted price of the purchase of the bill and corresponding confidence; judging whether the confidence coefficient is larger than a confidence coefficient threshold value, if so, selecting the predicted purchase price of the splice list as the purchase price of the initiated splice list, and if not, acquiring the purchase price of the initiated splice list in a mode of generating the simulated commodity flow order.
In order to realize this step, it is necessary to train a price-sharing price prediction model by taking the total amount of commodity orders, the total number of ordered stores, and the corresponding commodity SKU codes as input data inputs and predicting the price of purchase of a price-sharing order as output data. This is also an advantage of employing store groupings, where the selection of data for similar stores facilitates training of the piecewise price prediction model.
Similarly, as an alternative, step S4 includes the steps of: inputting commodity order total quantity, order store total quantity and corresponding commodity SKU codes of all store user terminals which send order confirmation signals into the price-sharing price prediction model as input data so that the price-sharing price prediction model outputs a predicted price of the purchase of the price-sharing and corresponding confidence coefficient; judging whether the confidence coefficient is larger than a confidence coefficient threshold value, if so, selecting the predicted purchase price of the splice list as the purchase price of the final splice list, and if not, acquiring the purchase price of the final splice list in a mode of generating a simulated commodity flow order.
The same piecewise price prediction model may be used for step S2 and step S4.
As shown in fig. 5, the interactive ordering apparatus according to some embodiments of the present application includes: the inquiry module is used for responding to the single-shot signals of the store user terminals aiming at one commodity and inquiring the single-shot signals of other store user terminals aiming at the same commodity; the price module is used for counting the total commodity ordering amount and the total ordered store amount corresponding to the commodity according to the ordering trigger signals of other store user terminals and generating the purchase price of the initiating spelling list; the initiating module is used for feeding back the commodity ordering total quantity, the ordering store total quantity and the initiating spelling purchase price to the store user terminal; the order module is used for responding to the order confirmation signal of the store user side for initiating the purchase price of the spelling list, generating a purchase order taking the final spelling list purchase price contained in the order confirmation signal as the purchase price and sending the purchase order to the store user terminal.
As shown in fig. 6, the electronic device 800 may include a processing means (e.g., a central processor, a graphics processor, etc.) 801, which may perform various appropriate actions and processes according to 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 required for the operation of the electronic device 800 are also stored. The processing device 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 the bus 804.
In general, the following devices may be connected to the I/O interface 805: input devices 806 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, and the like: an output device 807 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, etc.; including storage 808, such as magnetic tape, hard disk, etc.: communication means 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 shows an electronic device 800 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 6 may represent one device or a plurality of devices as needed.
In particular, according to some embodiments of the application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the 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 shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communication device 809, or from storage device 808, or from ROM 802. The above-described functions defined in the methods of some embodiments of the present application are performed when the computer program is executed by the processing means 801.
It should be noted that, the computer readable medium according to 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. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 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 application, however, the computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. 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, fiber optic cables, RF (radio frequency), and the like, 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 (HyperTextTransferProtocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication 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 networks.
The computer readable medium may be contained in the electronic device described above: or may exist alone without being incorporated 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: responding to a single-shot signal of a store user terminal aiming at one commodity, and inquiring the single-shot signals of other store user terminals aiming at the same commodity; counting the total commodity ordering amount and the total ordered store amount corresponding to the commodity according to the ordering trigger signals of other store user terminals, and generating an initiating spelling purchase price; feeding back the commodity order total quantity, the order store total quantity and the initial spelling purchase price to the store user terminal; and responding to the order confirmation signal of the store user terminal for initiating the purchase price of the spelling list, generating a purchase order taking the final spelling list purchase price contained in the order confirmation signal as the purchase price, and sending the purchase order to the store user terminal.
Computer program code for carrying out operations for certain embodiments of the present application may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, or combinations thereof: such as the "C" language or similar programming language. 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 kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts 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 above herein 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: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
The above description is only illustrative of the few preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the application in the embodiments of the present application is not limited to the specific combination of the above technical features, but also encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the application. Such as the above-described features, are mutually replaced with the technical features having similar functions (but not limited to) disclosed in the embodiments of the present application.
Claims (1)
1. An interactive ordering method is characterized in that:
the interaction ordering method comprises the following steps:
responding to a single-shot signal of a store user terminal aiming at one commodity, and inquiring the single-shot signals of other store user terminals aiming at the same commodity;
Counting the total commodity ordering amount and the total ordered store amount corresponding to the commodity according to the ordering trigger signals of other store user terminals, and generating an initiating spelling purchase price;
feeding back the commodity order total quantity, the order store total quantity and the initial spelling purchase price to the store user terminal;
Responding to a purchase order confirmation signal of the store user side for initiating the purchase price of the spelling list, generating a purchase order taking the final purchase price of the spelling list contained in the purchase order confirmation signal as the purchase price, and sending the purchase order to the store user terminal;
The store user terminal generates the single trigger signal in a mode of adding the single trigger signal to a shopping cart;
the store user terminal generates the single trigger signal in a voice ordering mode;
The step of responding to the single-shot signal of the store user terminal aiming at one commodity and inquiring the single-shot signals of other store user terminals aiming at the same commodity SKU comprises the following steps:
Determining the query range of the other shops according to the shop group of the shop user terminal;
Extracting commodity SKU codes in the single-shot signals, and inquiring store user terminals containing the same commodity SKU codes in other single-shot signals in the store group according to the commodity SKU codes;
The step of counting the commodity ordering total quantity and the ordering store total quantity corresponding to the commodity according to the ordering trigger signals of other store user terminals and generating the starting spelling purchase price comprises the following steps:
Generating a simulated commodity flow order according to the commodity ordering total amount, the addresses of the store user terminals contained in the ordering store total amount and the respective ordering quantity;
Generating the purchase price of the initiating splice according to the expense of the logistics order, the commodity cost unit price and the commodity ordering total amount;
The step of responding to the order confirmation signal of the store user terminal for initiating the purchase price of the spelling list, generating a purchase order taking the final spelling list purchase price contained in the order confirmation signal as the purchase price and sending the purchase order to the store user terminal comprises the following steps:
updating the simulated logistics orders according to the addresses of all the store user terminals sending the order confirmation signals and the respective order quantity;
Generating the final splice purchase price according to the cost of the simulated logistics order, the commodity cost unit price and the commodity ordering total amount;
The step of counting the commodity ordering total quantity and the ordering store total quantity corresponding to the commodity according to the ordering trigger signals of other store user terminals and generating the starting spelling purchase price comprises the following steps:
Inputting the commodity order total amount, the order store total amount and the corresponding commodity SKU codes as input data into a price-sharing price prediction model so that the price-sharing price prediction model outputs a predicted price of a price-sharing purchase and corresponding confidence;
Judging whether the confidence coefficient is larger than a confidence coefficient threshold value, if so, selecting the predicted spelling list purchasing price as the starting spelling list purchasing price, and if not, acquiring the starting spelling list purchasing price in a mode of generating a simulated logistics order;
The step of responding to the order confirmation signal of the store user terminal for initiating the purchase price of the spelling list, generating a purchase order taking the final spelling list purchase price contained in the order confirmation signal as the purchase price and sending the purchase order to the store user terminal comprises the following steps:
Inputting the commodity order total quantity, the order store total quantity and the corresponding commodity SKU codes of all store clients which send the order confirmation signals into a price-sharing price prediction model as input data so that the price-sharing price prediction model outputs a predicted price for purchasing a price for sharing a bill and corresponding confidence;
Judging whether the confidence coefficient is larger than a confidence coefficient threshold value, if so, selecting the predicted share purchase price as the final share purchase price, and if not, acquiring the final share purchase price in a mode of generating a simulated logistics order.
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| CN114331287B (en) * | 2021-12-30 | 2023-04-18 | 钻技(上海)信息科技有限公司 | Order placing method, device and storage medium for take-out platform |
| CN118052607A (en) * | 2023-02-19 | 2024-05-17 | 李松 | Intelligent management bill-making and settlement system based on Internet |
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| CN101197035A (en) * | 2007-12-27 | 2008-06-11 | 腾讯科技（深圳）有限公司 | Method, system and equipment for integrate purchase in electric business platform |
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