CN114092130A - Method, device, terminal and medium for determining market recommended retail price - Google Patents
Method, device, terminal and medium for determining market recommended retail price Download PDFInfo
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- CN114092130A CN114092130A CN202111256624.6A CN202111256624A CN114092130A CN 114092130 A CN114092130 A CN 114092130A CN 202111256624 A CN202111256624 A CN 202111256624A CN 114092130 A CN114092130 A CN 114092130A
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Abstract
The application discloses a method, a device, a terminal and a medium for determining a market recommended retail price. The method comprises the following steps: determining commodity related information of a target commodity in a target merchant; determining a plurality of peripheral merchants aiming at the target merchant based on the commodity relevant information of the target commodity; according to the commodity relevant information, determining the respective sales prices given by a plurality of peripheral merchants aiming at the target merchant and aiming at the target commodity; and determining the market recommended retail price for the target commodity in the target merchant according to the pre-constructed commodity price recommendation model and the sales prices given by the peripheral merchants respectively and aiming at the target commodity. By using the method of taking peripheral merchants as reference factors influencing market price, the method can enable the merchants to know the sale price of the same commodity at the periphery in real time, and also facilitates the merchants to adjust the sale strategy in time, thereby achieving the purpose of improving the sale quantity.
Description
Technical Field
The application relates to the technical field of big data processing, in particular to a method, a device and a medium for determining a market recommended retail price.
Background
The existing shops, especially the small-scale convenience stores, do not have a very scientific reference for pricing commodities, and are often referred to the suggested retail price given by a brand party. However, the price of the same item in different convenience stores varies from geographic location to geographic location. The problem that a large amount of manpower is consumed by a merchant to acquire data in the early stage and a large amount of manpower is still consumed to adjust the price in the later stage exists in the current commodity pricing.
Disclosure of Invention
The application provides a method and a device for determining a market recommended retail price, electronic equipment and a computer-readable storage medium, which can solve at least one problem. The technical scheme is as follows:
in a first aspect, a method for determining a retail price recommended by a market is provided, and the method includes:
determining commodity related information of a target commodity in a target merchant;
determining a plurality of peripheral merchants aiming at the target merchant based on the commodity relevant information of the target commodity;
according to the commodity relevant information, determining the respective sales prices given by a plurality of peripheral merchants aiming at the target merchant and aiming at the target commodity;
and determining the market recommended retail price for the target commodity in the target merchant according to the pre-constructed commodity price recommendation model and the sales prices given by the peripheral merchants respectively and aiming at the target commodity.
In a second aspect, there is provided an apparatus for determining a retail sale price recommended by a market, the apparatus comprising:
the commodity information determining module is used for determining commodity related information of a target commodity in a target merchant;
the peripheral merchant determining module is used for determining a plurality of peripheral merchants aiming at the target merchant based on the commodity relevant information of the target commodity;
the reference price determining module is used for determining the sales prices given by a plurality of peripheral merchants aiming at the target merchant respectively aiming at the target commodity according to the commodity relevant information;
and the recommended price determining module is used for determining the market recommended retail price for the target commodity in the target merchant according to the pre-constructed commodity price recommending model and the sales prices given by the peripheral merchants for the target commodity.
In a third aspect, an electronic device is provided, which includes:
one or more processors;
a memory;
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: the method for determining the market recommended retail price is executed.
In a fourth aspect, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described method of determining a market recommended retail price.
According to the method, the commodity relevant information of the target commodity in the target merchant is determined, the sales prices of the target commodity, which are given by a plurality of peripheral merchants of the target merchant and the plurality of peripheral merchants respectively, are determined based on the commodity relevant information of the target commodity, and the market recommended retail price of the target commodity in the target merchant is determined according to the pre-constructed commodity price recommendation model and the sales prices of the target commodity, which are given by the plurality of peripheral merchants respectively, so that the peripheral merchants are used as reference factors influencing the market price, the merchant can know the sales price of the same commodity around in real time, and the merchant can conveniently adjust the sales strategy in time, and the purpose of increasing the sales volume is achieved; meanwhile, the commodity price recommendation model is set to enable the generation of the market recommended retail price to be automatic and intelligent, and the automatically generated market recommended retail price is enabled to be more in line with a market price mechanism, so that the trust of the merchant on the market recommended retail price is improved, and the purpose of further improving the sales volume by improving the reference probability of the merchant on the market recommended price is achieved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below.
Fig. 1 is a schematic flow chart of a method for determining a market recommended retail price according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a device for determining a market recommended retail price according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
The embodiment of the application provides a method for determining a market recommended retail price, as shown in fig. 1, the method includes: step S101-step S104.
And step S101, determining commodity related information of the target commodity in the target merchant.
Specifically, the electronic device determines commodity-related information of a target commodity in a target merchant, wherein the electronic device may be a mobile phone, a tablet computer, a PC, a server, or the like.
Specifically, the commodity-related information may include a product name, a specification, a price, a bar code number, a commodity identification, a merchant selling the commodity, and the like. The related information of the commodities can avoid the error comparison of the same commodities with different specifications of different merchants.
Specifically, the information related to the commodity input by the user may be acquired through a preset interactive interface, or may be identified through an image identification technology.
Step S102, determining a plurality of peripheral merchants aiming at the target merchant based on the commodity relevant information of the target commodity.
Specifically, peripheral merchants for the target merchant may be determined according to preset conditions. For example, other merchants within a certain distance range from the target merchant are taken as peripheral merchants of the target merchant; or, the merchants selling the target commodities within a certain distance range from the target merchant are taken as peripheral merchants of the target merchant.
And S103, determining the respective sales prices given by a plurality of peripheral merchants aiming at the target merchant and aiming at the target commodity according to the commodity relevant information.
Specifically, the relevant information of the commodity can be queried in a locally pre-stored merchant database, so as to obtain the sales price for the target commodity given by each of a plurality of peripheral merchants of the target merchant; or the commodity relevant information and a plurality of peripheral merchants aiming at the target merchant are used as query requests and sent to the server, and a query result fed back by the server to the query requests is obtained, so that the sales prices aiming at the target commodity given by the peripheral merchants aiming at the target merchant are obtained. The commodity database can be used for constructing the commodity database comprising different merchants and corresponding relations of commodities sold by the different merchants by acquiring information of the different merchants.
And step S104, determining the market recommended retail price for the target commodity in the target merchant according to the pre-constructed commodity price recommendation model and the sales prices given by the peripheral merchants respectively and aiming at the target commodity.
Specifically, the output market recommended retail price can be directly obtained according to the commodity price recommendation model, and the output result of the commodity price recommendation model can also be queried, so that the market recommended retail price for the target commodity in the target merchant is obtained.
The method comprises the steps of determining commodity relevant information of a target commodity in a target merchant, determining sales prices for the target commodity given by a plurality of peripheral merchants of the target merchant and the plurality of peripheral merchants based on the commodity relevant information of the target commodity, and determining market recommended retail price for the target commodity in the target merchant according to a pre-constructed commodity price recommendation model and the sales prices for the target commodity given by the peripheral merchants, wherein the peripheral merchants are used as reference factors influencing the market price, so that the merchants can know the sales price of the same commodity around in real time, and the merchants can conveniently adjust sales strategies in time, and the purpose of increasing sales volume is achieved; meanwhile, the commodity price recommendation model is set to enable the generation of the market recommended retail price to be automatic and intelligent, and the automatically generated market recommended retail price is enabled to be more in line with a market price mechanism, so that the trust of the merchant on the market recommended retail price is improved, and the purpose of further improving the sales volume by improving the reference probability of the merchant on the market recommended price is achieved.
In some implementations, as shown in fig. 1, step S101 includes at least one of:
step S1011 (not shown in the figure), determining commodity-related information based on an input operation for a target commodity in a target merchant;
step S1012 (not shown in the figure), based on the product barcode diagram for the target product, determines product-related information.
Specifically, the product barcode diagram may include only the product number, or may include all product information. The goods number may include a merchant number and a commodity number.
Specifically, an input function for the commodity information may be provided through a preset interactive interface, so that the user performs an input operation through the interactive interface, and thus the electronic device determines the commodity-related information according to the detected input operation.
Specifically, the identification of the commodity barcode graph can be completed locally, and the identification of the commodity barcode graph can also be completed at the cloud. For example, if the electronic device is a mobile phone, the barcode of the target product may be scanned by the mobile phone, so that the scanning result is sent to the web server, and after the result fed back by the web server is obtained, the product-related information of the target product is obtained.
The embodiment of the application provides a method and a device for acquiring the commodity related information through an interactive interface and a commodity bar code, so that the problem that the commodity related information cannot be determined due to one of the two modes, namely the interactive interface and the commodity bar code, is avoided, and the flexibility of an acquisition channel of the commodity related information is improved.
In some implementations, step S1012 further includes:
scanning the commodity bar code of the target commodity according to scanning equipment to obtain a scanning preview overall image;
positioning the bar code of the commodity in the scanning preview overall image to obtain a bar code area image;
and cutting the bar code area image in the scanning preview overall image to obtain a commodity bar code image aiming at the target commodity.
In the embodiment of the application, the scanning preview overall graph is used for representing a picture captured in a scanning process of a commodity bar code. The scanning device generally has an electronic device with an image capturing function, such as a mobile phone, so that the scanning preview overall image is a picture captured by a camera of the mobile phone.
In the embodiment of the application, the barcode region map is used for representing an image of a region occupied by a barcode in the scanning preview overall map.
When the method is applied, a vibration instruction can be generated when a commodity bar code image is detected, so that the scanning equipment can achieve the purpose of prompting a user to complete an image acquisition task by executing the vibration instruction.
According to the embodiment of the application, the cutting processing is carried out on the scanning preview overall image, so that the purposes of reducing the resolution ratio of a sample and reducing the problems of complex environment interference of later-stage identification and energy consumption of a mobile phone are achieved; simultaneously, compare traditional mode of shooing, this application embodiment has improved the efficiency to the image acquisition of commodity bar code.
In some implementations, the step of cutting the barcode region map in the scanning preview overall map to obtain the product barcode map for the target product includes:
carrying out first frame body marking on the scanning preview overall image;
carrying out second frame body marking on the bar code region graph;
and adjusting the angle of the area where the trademark bar code is located according to the first frame body and the second frame body, and cutting the adjusted second frame body to obtain a commodity bar code image for the target commodity.
Because the commodity bar code has the inclination problem caused by improper pasting, the bar code region image and the scanning preview overall image have the inclination problem, and the cutting tool cannot be adjusted, so that the information of the cut image is lost, and the subsequent image identification effect is influenced. Therefore, the embodiment of the application adjusts the bar code area map by marking the frame body in the image, thereby eliminating the inclination problem of the bar code area map and solving the problem of image identification failure caused by information loss in the cut image.
In some implementations, the step of scanning the product barcode of the target product according to the scanning device to obtain the scanning preview overall image includes:
and focusing the scanning equipment if the scanning equipment shakes in the process of scanning the commodity bar code of the target commodity.
When the method is applied, a mobile phone camera (namely scanning equipment) is initialized, an acceleration sensor and a gyroscope sensor are registered, relative low sampling frequency is configured, data change of the sensor is monitored, acceleration and rotation speed of the three physical axis directions x/y/z of the equipment are analyzed, when slight shaking is detected, a viewfinder captures the most original image, and then focusing is carried out on the image data, so that a preview picture captured by the mobile phone camera is locked and used as a scanning and previewing whole picture.
In some implementations, the step of determining, according to the item-related information, respective sales prices for the target item given by a number of peripheral merchants for the target merchant includes:
determining a plurality of peripheral merchants aiming at the target merchant based on the geographic position of the target merchant;
inquiring the relevant information of the commodity in a preset merchant information database to obtain the selling prices of the target commodity given by a plurality of peripheral merchants of the target merchant respectively;
the merchant information database comprises a plurality of commodities sold by a plurality of merchants respectively and corresponding relations of sales prices corresponding to the commodities sold by the merchants respectively.
Specifically, the geographic location of the target merchant may be read during the process of scanning the barcode of the commodity, or may be determined by the commodity-related information, that is, the commodity-related information may include the geographic location of the target merchant.
Specifically, the product-related information of each product of any one of the merchants in the merchant information database may be acquired with reference to steps S1011 and S1012.
In some implementations, before the step of determining a market recommended retail price for the target commodity in the target merchant according to the pre-constructed commodity price recommendation model and the sales prices for the target commodity given by each of the plurality of peripheral merchants, the method further includes:
when the commodity price recommendation model is detected to be updated, a new commodity price recommendation model is obtained, so that the sales prices given by a plurality of peripheral merchants respectively and aiming at the target commodity are input into the new commodity price recommendation model, and the market recommended retail price aiming at the target commodity in the target merchant is obtained.
Because the samples (i.e., the merchant information database) used for training the commodity price recommendation model are continuously updated, the commodity price recommendation model needs to be continuously retrained, so that the commodity price recommendation model used for predicting the market recommended retail price can provide the market recommended retail price which is more consistent with the market price mechanism.
A further embodiment of the present application provides a device for determining a retail sale price recommended by a market, as shown in fig. 2, the device 20 comprising: a commodity information determination module 201, a peripheral merchant determination module 202, a reference price determination module 203, and a recommended price determination module 204.
A commodity information determining module 201, configured to determine commodity-related information of a target commodity in a target merchant;
a peripheral merchant determination module 202, configured to determine, based on the commodity-related information of the target commodity, a plurality of peripheral merchants for the target merchant;
a reference price determining module 203, configured to determine, according to the relevant information of the product, sales prices for the target product given by a plurality of peripheral merchants of the target merchant;
and the recommended price determining module 204 is configured to determine a market recommended retail price for the target commodity in the target merchant according to the pre-constructed commodity price recommendation model and the sales prices for the target commodity given by the peripheral merchants respectively.
The method comprises the steps of determining commodity relevant information of a target commodity in a target merchant, determining sales prices for the target commodity given by a plurality of peripheral merchants of the target merchant and the plurality of peripheral merchants based on the commodity relevant information of the target commodity, and determining market recommended retail price for the target commodity in the target merchant according to a pre-constructed commodity price recommendation model and the sales prices for the target commodity given by the peripheral merchants, wherein the peripheral merchants are used as reference factors influencing the market price, so that the merchants can know the sales price of the same commodity around in real time, and the merchants can conveniently adjust sales strategies in time, and the purpose of increasing sales volume is achieved; meanwhile, the commodity price recommendation model is set to enable the generation of the market recommended retail price to be automatic and intelligent, and the automatically generated market recommended retail price is enabled to be more in line with a market price mechanism, so that the trust of the merchant on the market recommended retail price is improved, and the purpose of further improving the sales volume by improving the reference probability of the merchant on the market recommended price is achieved.
Determining commodity related information of a target commodity in a target merchant;
determining a plurality of peripheral merchants aiming at the target merchant based on the commodity relevant information of the target commodity;
according to the commodity relevant information, determining the respective sales prices given by a plurality of peripheral merchants aiming at the target merchant and aiming at the target commodity;
and determining the market recommended retail price for the target commodity in the target merchant according to the pre-constructed commodity price recommendation model and the sales prices given by the peripheral merchants respectively and aiming at the target commodity.
Further, the goods information determination module comprises at least one of the following sub-modules:
the first determining submodule is used for determining commodity relevant information based on input operation aiming at a target commodity in a target merchant;
and the second determining submodule is used for determining the commodity relevant information based on the commodity bar code graph aiming at the target commodity.
Further, the second determination submodule includes:
the overall image determining unit is used for scanning the commodity bar code of the target commodity according to the scanning equipment to obtain a scanning preview overall image;
the regional image determining unit is used for positioning the commodity bar code in the scanning preview overall image to obtain a bar code regional image;
and the bar code image determining unit is used for cutting the bar code area image in the scanning preview overall image to obtain a commodity bar code image aiming at the target commodity.
Further, the barcode diagram determination unit includes:
a first marking subunit, configured to perform a first frame marking on the scanning preview whole image;
the second marking subunit is used for carrying out second frame body marking on the bar code region image;
and the image adjusting subunit is used for adjusting the angle of the area where the trademark bar code is located according to the first frame body and the second frame body, and cutting the adjusted second frame body to obtain a commodity bar code image for the target commodity.
Further, the overall view determination unit includes:
and the focusing subunit is used for focusing the scanning equipment if the scanning equipment shakes in the process of scanning the commodity bar code of the target commodity.
Further, the reference price determination module includes:
the peripheral merchant determining submodule is used for determining a plurality of peripheral merchants aiming at the target merchant based on the geographic position of the target merchant;
the reference price query submodule is used for querying the commodity relevant information in a preset merchant information database to obtain the sales price of the target commodity given by each of a plurality of peripheral merchants of the target merchant;
the merchant information database comprises a plurality of commodities sold by a plurality of merchants respectively and corresponding relations of sales prices corresponding to the commodities sold by the merchants respectively.
Further, before determining the market recommended retail price for the target commodity in the target merchant according to the pre-constructed commodity price recommendation model and the sales prices given by the peripheral merchants for the target commodity, the recommended price determination module further includes:
and the model detection submodule is used for acquiring a new commodity price recommendation model when detecting that the commodity price recommendation model is updated, so that the sales prices given by a plurality of peripheral merchants for the target commodity are input into the new commodity price recommendation model, and the market recommended retail price for the target commodity in the target merchant is obtained.
The apparatus for determining a market-recommended retail price according to this embodiment may execute the method for determining a market-recommended retail price according to this embodiment, which is similar to the above-mentioned principles, and will not be described herein again.
Another embodiment of the present application provides a terminal, including: the processor executes the computer program to realize the method for determining the market recommended retail price.
In particular, the processor may be a CPU, general purpose processor, DSP, ASIC, FPGA or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. A processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, a DSP and a microprocessor, or the like.
In particular, the processor is coupled to the memory via a bus, which may include a path for communicating information. The bus may be a PCI bus or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc.
The memory may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an EEPROM, a CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Optionally, the memory is used for storing codes of computer programs for executing the scheme of the application, and the processor is used for controlling the execution. The processor is configured to execute the application program code stored in the memory to implement the actions of the apparatus for determining a market recommended retail price provided by the above-described embodiments.
Yet another embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which when executed by a processor, implements the method for determining a market recommended retail price described above.
The above-described embodiments of the apparatus are merely illustrative, and the units illustrated as separate components may or may not be physically separate, may be located in one place, or may be distributed over a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
While the present invention has been described with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method for determining a retail sale price recommended by a market, comprising:
determining commodity related information of a target commodity in a target merchant;
determining a plurality of peripheral merchants aiming at the target merchant based on the commodity-related information of the target commodity;
according to the commodity relevant information, determining sales prices given by a plurality of peripheral merchants of the target merchant respectively for the target commodity;
and determining a market recommended retail price for the target commodity in the target merchant according to a pre-constructed commodity price recommendation model and the sales prices given by a plurality of peripheral merchants respectively and aiming at the target commodity.
2. The method of claim 1, wherein the step of determining merchandise-related information for the target merchandise in the target merchant comprises at least one of:
determining the commodity-related information based on an input operation for the target commodity in the target merchant;
determining the commodity-related information based on a commodity barcode diagram for the target commodity.
3. The method of claim 2, wherein the step of determining the item-related information based on the item barcode map for the target item comprises:
scanning the commodity bar code of the target commodity according to scanning equipment to obtain a scanning preview overall image;
positioning the bar code of the commodity in the scanning preview overall image to obtain a bar code area image;
and cutting the bar code region image in the scanning preview overall image to obtain the commodity bar code image aiming at the target commodity.
4. The method of claim 3, wherein the step of cropping the barcode region map in the scan preview overall image to obtain the product barcode map for the target product comprises:
carrying out first frame body marking on the scanning preview overall image;
carrying out second frame body marking on the bar code region graph;
and adjusting the angle of the area where the trademark bar code is located according to the first frame body and the second frame body, and cutting the adjusted second frame body to obtain the commodity bar code image for the target commodity.
5. The method as claimed in claim 3, wherein the step of scanning the item barcode of the target item according to the scanning device to obtain the scanning preview overall image comprises:
and focusing the scanning equipment if the scanning equipment shakes in the process of scanning the commodity bar code of the target commodity.
6. The method of claim 1, wherein the step of determining a selling price for the target item given by each of a number of peripheral merchants of the target merchant based on the item-related information comprises:
determining a number of surrounding merchants for the target merchant based on the geographic location of the target merchant;
inquiring the commodity relevant information in a preset merchant information database to obtain the selling prices for the target commodity given by a plurality of peripheral merchants of the target merchant;
the merchant information database comprises a plurality of commodities sold by a plurality of merchants respectively and a corresponding relation of sales prices corresponding to the commodities sold by the merchants respectively.
7. The method of claim 6, wherein before the step of determining the market recommended retail price for the target commodity in the target merchant according to the pre-constructed commodity price recommendation model and the sales prices given by a plurality of peripheral merchants respectively for the target commodity, the method further comprises:
when the commodity price recommendation model is detected to be updated, a new commodity price recommendation model is obtained, so that the selling prices given by a plurality of peripheral merchants and aiming at the target commodity are input into the new commodity price recommendation model, and the market recommended retail price aiming at the target commodity in the target merchant is obtained.
8. An apparatus for determining a retail sale price recommended by a market, comprising:
the commodity information determining module is used for determining commodity related information of a target commodity in a target merchant;
the peripheral merchant determining module is used for determining a plurality of peripheral merchants aiming at the target merchant based on the commodity relevant information of the target commodity;
a reference price determining module, configured to determine, according to the commodity-related information, sales prices for the target commodity given by each of a plurality of peripheral merchants of the target merchant;
and the recommended price determining module is used for determining the market recommended retail price for the target commodity in the target merchant according to a pre-constructed commodity price recommending model and the sales prices given by a plurality of peripheral merchants for the target commodity.
9. An electronic device, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured for execution by the one or more processors, the one or more programs configured to: performing the method according to any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 7.
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| CN202111256624.6A CN114092130A (en) | 2021-10-27 | 2021-10-27 | Method, device, terminal and medium for determining market recommended retail price |
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| Country | Link |
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| CN (1) | CN114092130A (en) |
-
2021
- 2021-10-27 CN CN202111256624.6A patent/CN114092130A/en active Pending
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