CN113222705A - Commodity display optimization method, device and equipment - Google Patents

Commodity display optimization method, device and equipment Download PDF

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Publication number
CN113222705A
CN113222705A CN202110558322.8A CN202110558322A CN113222705A CN 113222705 A CN113222705 A CN 113222705A CN 202110558322 A CN202110558322 A CN 202110558322A CN 113222705 A CN113222705 A CN 113222705A
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commodity
shelf
commodities
information
optimized
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CN113222705B (en
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陈涵琛
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Alipay Hangzhou Information Technology Co Ltd
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Alipay Hangzhou Information Technology Co Ltd
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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]
    • G06Q30/0641—Shopping interfaces
    • G06Q30/0643—Graphical representation of items or shoppers
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • 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]
    • G06Q30/0639—Item locations
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/10—Internal combustion engine [ICE] based vehicles
    • Y02T10/40—Engine management systems

Abstract

The embodiment of the specification discloses a commodity display optimization method, a commodity display optimization device and commodity display optimization equipment. The scheme comprises the following steps: acquiring a commodity display image of a merchant shelf; determining commodity information, shelf information and position information of the commodity on a shelf in the commodity display image by carrying out target recognition on the commodity display image; judging whether the matching relation between the commodities and the goods shelf or between different commodities has a problem to be optimized or not according to the determined information; if yes, generating a corresponding commodity display optimization scheme according to the problem to be optimized.

Description

Commodity display optimization method, device and equipment
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, and a device for optimizing a merchandise display.
Background
In the process of selling commodities on line, merchants often adopt certain skills and props to regularly display and put the commodities in a classified manner so as to embody the business thought of the merchants, improve the selling efficiency of the commodities, and enhance the purchasing desire of customers so as to promote business.
At present, superstores often classify commodities reasonably according to specific display rules and display and put the commodities in order. In some small shops, due to lack of professional awareness of displaying the commodities, the commodities can be displayed out of order and unreasonably.
In view of this, there is a need for a merchandise display optimization scheme that can improve the ordering of merchandise display.
Disclosure of Invention
One or more embodiments of the present specification provide a merchandise display optimization method, apparatus, device, and storage medium to solve the following technical problems: there is a need for a merchandise display optimization scheme that improves the ordering of merchandise displays.
To solve the above technical problem, one or more embodiments of the present specification are implemented as follows:
one or more embodiments of the present specification provide a merchandise display optimization method, including:
acquiring a commodity display image of a merchant shelf;
determining commodity information, shelf information and position information of commodities on shelves in the commodity display image by carrying out target recognition on the commodity display image;
judging whether the matching relation between the commodities and the goods shelf or between different commodities has a problem to be optimized or not according to the determined information;
and if so, generating a corresponding commodity display optimization scheme according to the problem to be optimized.
One or more embodiments of the present specification provide a merchandise display optimization device, including:
the acquisition module acquires a commodity display image of a commodity shelf of a merchant;
the determining module is used for determining commodity information, shelf information and position information of commodities on shelves in the commodity display image by carrying out target recognition on the commodity display image;
the judging module is used for judging whether the matching relation between the commodity and the goods shelf or between different commodities has a problem to be optimized or not according to the determined information;
and if so, generating a corresponding commodity display optimization scheme according to the problem to be optimized.
One or more embodiments of the present specification provide a merchandise display optimization apparatus, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring a commodity display image of a merchant shelf;
determining commodity information, shelf information and position information of commodities on shelves in the commodity display image by carrying out target recognition on the commodity display image;
judging whether the matching relation between the commodities and the goods shelf or between different commodities has a problem to be optimized or not according to the determined information;
and if so, generating a corresponding commodity display optimization scheme according to the problem to be optimized.
One or more embodiments of the present specification provide a non-transitory computer storage medium storing computer-executable instructions configured to:
acquiring a commodity display image of a merchant shelf;
determining commodity information, shelf information and position information of commodities on shelves in the commodity display image by carrying out target recognition on the commodity display image;
judging whether the matching relation between the commodities and the goods shelf or between different commodities has a problem to be optimized or not according to the determined information;
and if so, generating a corresponding commodity display optimization scheme according to the problem to be optimized.
At least one technical scheme adopted by one or more embodiments of the specification can achieve the following beneficial effects: aiming at the current commodity display in a small-sized shop, the target recognition is carried out on the commodity display image collected in the shop, the problem to be optimized existing in the current commodity display in the shop is judged from the aspects of gaps among commodities, whether the commodities are arranged orderly, blanks between the commodities and a shelf, price difference between the commodities which are arranged nearby, association among the commodities and the like, a corresponding optimization scheme is generated according to the problem, the optimization adjustment is carried out on the commodity display, therefore, the problem existing in the commodity display in the small-sized shop can be found, the optimization scheme is provided pertinently, the style of the commodity display in the shop is unified, the orderliness of the commodity display is visually enhanced, and the shopping experience of customers is optimized.
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In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
FIG. 1 is a schematic flow chart diagram of a merchandise display optimization method provided in one or more embodiments of the present disclosure;
FIG. 2 is a schematic diagram of a merchandise display of a shelf in an application scenario, according to one or more embodiments of the present disclosure;
fig. 3 is a detailed flowchart of the method in fig. 1 in an application scenario provided in one or more embodiments of the present disclosure;
FIG. 4 is a schematic diagram of a merchandise display optimization device according to one or more embodiments of the present disclosure;
fig. 5 is a schematic structural diagram of a merchandise display optimization apparatus according to one or more embodiments of the present disclosure.
Detailed Description
The embodiment of the specification provides a commodity display optimization method, a commodity display optimization device, a commodity display optimization equipment and a storage medium.
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any inventive step based on the embodiments of the present disclosure, shall fall within the scope of protection of the present application.
In one or more embodiments of the present disclosure, since a small-sized sales shop lacks a mature product display method guidance, a problem of disordered product display is easily generated, and purchasing efficiency and shopping experience of a customer are affected, the present solution may be mainly applied to a small-sized sales shop to optimally guide product display of the small-sized sales shop. According to the scheme, the target recognition is carried out on the current commodity display image in the small-sized shop, the problem to be optimized existing in the matching relation between the commodity and the goods shelf or between different commodities is judged, and the corresponding optimization scheme is generated aiming at the problem so as to carry out optimization adjustment on the commodity display. Furthermore, the scheme judges the problems to be optimized (mainly visual experience problems) existing in the commodity display from the aspects of gaps among commodities, whether the commodities are arranged orderly, gaps between the commodities and the goods shelf, price difference between the commodities which are arranged nearby, association among the commodities and the like, and provides corresponding optimization schemes respectively, so that the style of commodity display in a store is favorably unified, the orderliness of the commodity display is visually enhanced, and the shopping experience of customers is optimized. The following is a detailed description based on such a concept.
Fig. 1 is a schematic flow chart of a merchandise display optimization method according to one or more embodiments of the present disclosure. The method can be applied to different business fields, such as the electric business field, the public business field and the like. The process may be performed by computing devices in the respective domains, with certain input parameters or intermediate results in the process allowing for manual intervention adjustments to help improve accuracy.
The process in fig. 1 may include the following steps:
s102: a merchandise display image of a merchant shelf is acquired.
In one or more embodiments of the present specification, a merchant takes a picture in a store by himself or herself through a mobile terminal such as a mobile phone or a tablet (so that the flexibility is strong, which can help the merchant to solve a product display area that the merchant pays more attention to and also helps to reduce resource waste), or collects a product display image of a shelf in the store by using equipment such as a camera in the store, and uploads the product display image to a server for processing. If the local device has processing capability, the processing can be performed locally or offline.
S104: by performing object recognition on the product display image, the product information, the shelf information, and the position information of the product on the shelf in the product display image are specified.
The server receives the product display image, performs target recognition on the product display image, and specifies product information such as a product name, a product brand, a product price, and a product size, shelf information such as a shelf size and a shelf position, and position information of the product on the shelf, from the product, the product tag, and the shelf in the product display image.
The target recognition of the product display image in the present embodiment may be realized by using a conventional machine learning algorithm, a conventional target detection algorithm, or the like.
S106: and judging whether the matching relation between the commodity and the goods shelf or between different commodities has a problem to be optimized or not according to the determined information.
In the commodity display, the problems of unreasonable commodity placing positions, irregular placing and the like may exist between commodities and a shelf, and the problems of unreasonable placing gaps, conflict of styles of adjacent commodities and the like may exist between different commodities. Through the determined commodity information, the shelf information and the position information of the commodities on the shelf, whether the matching relation between the commodities and the shelf or between different commodities is unreasonable or not can be judged so as to optimize the goods. The scheme is mainly used for small-sized stores, the small-sized stores are small in area generally, compact in layout and high in cost, therefore, the scheme mainly focuses on the visual fit relation to relieve the unfavorable condition in the aspect of layout, and frequent adjustment is not needed depending on feedback of customers, so that the cost is reduced.
S108: if yes, generating a corresponding commodity display optimization scheme according to the problem to be optimized.
If the matching relation between the commodities and the shelves or between different commodities has a problem to be optimized, a corresponding commodity display optimization scheme can be generated according to the problem, so that the commodity display on the shelves in the store is optimized and adjusted, and the commodity display in the store is improved.
In one or more embodiments of the present description, specifically for a product display in a small-sized sales store, by performing target recognition on a product display image collected in the store, a problem to be optimized existing in the current product display in the store is determined from various aspects such as a gap between products, whether the products are arranged in order, a blank between the products and a shelf, a price gap between the products arranged nearby, and a correlation between the products, and a corresponding optimization scheme is generated for optimizing and adjusting the product display.
Based on the process of fig. 1, some specific embodiments and embodiments of the process are also provided in the present specification, and the description is continued below.
In one or more embodiments of the present specification, the commodity name of the commodity in the commodity display image is identified and determined by the target recognition. According to the commodity name, the commodity size corresponding to the commodity can be obtained through querying through a database or an online shopping mall. The shelf size of the shelf in the merchandise display image may be determined based on a comparison of the size of the merchandise and the location of the merchandise on the corresponding shelf. By determining the size of the commodity and the size of the shelf, the reasonable display mode of the commodity on the shelf, such as the quantity of the commodity suitable for being placed on a row of shelves, commodity gaps and the like, is convenient to determine.
In addition, when the merchant uploads the commodity display image, the shelf size in the store can be manually input through corresponding equipment, so that the calculation amount of the cloud server is reduced, and more accurate shelf size can be obtained.
Further, according to the determined size of the commodities, the size of the goods shelf and the position information of the commodities on the goods shelf, whether the quantity of the commodities on the goods shelf and/or the size of gaps among the commodities is reasonable or not can be judged. If the number of the commodities placed on the row of shelves is too large, the gap between the commodities is too small. And the gaps among the commodities are too small, which brings inconvenience to customers to take the commodities. Thus, with the shelf size and the product size (primarily in terms of length), a reasonable range of the number of products on the shelf and/or the size of the gaps between the products can be determined, and it is not reasonable to assume that the number and/or gaps in the product display image exceed this reasonable range. If the judgment is not reasonable, the commodity display has a problem to be optimized. The undersize of the gaps among the commodities can influence the shopping experience of customers more, so that the undersize of the gaps among the commodities can be adjusted in an important mode, and only threshold values with too many commodities and/or undersize of the gaps are set to judge unreasonable positions of commodity display.
Further, it is difficult to specify that only one or a few items must be placed in a shelf based on the lateral arrangement of the items in the shelf. Thus, the longitudinal display of an item on a multi-level shelf is easier to control in practice and provides a customer with a greater visual finish. Then, based on the information of the positions of the products on the shelves, the areas respectively occupied by the sets of different products adjacently placed on the shelves can be determined. In order to keep the merchandise display in order, it is determined whether or not a dividing line between areas occupied by different merchandise items meets a predetermined vertical dividing line condition. When the condition of the vertical dividing line is satisfied, the display of the commodity is in order. If not, judging that the corresponding problem to be optimized exists, and optimizing and adjusting the commodity display. Therefore, the commodity display among the multilayer shelves can be controlled longitudinally, the regularity of the commodity display is enhanced, and the visual experience of customers is optimized.
Fig. 2 is a schematic diagram of a product display of a shelf in an application scenario provided in one or more embodiments of the present disclosure. As shown in fig. 2, the a region represents a region in which the article a is placed, and the B region represents a region in which the article B is placed. The inconsistent placement of the products a among the multi-layer shelves leads to irregular dividing lines between the areas A and B, and the problem that the display of the products on the shelves is irregular and disordered visually. Therefore, it is necessary to adjust the position of the product on the shelf so as to change the dividing line between the area a and the area B according to a predetermined vertical dividing line condition.
In one or more embodiments of the present disclosure, the shelves include end shelves at both ends, the end shelves including a large area for displaying the self-contained items, the large area generally having a height greater than the height of the shelves at other levels, at the bottom of the shelves. Based on the relatively large height of the large area and the fixed size of the whole box of commodities, the back plate of a part of the goods shelf can be exposed after the commodities are placed in the large area, and the excessive exposure of the back plate can bring visual untidiness to people. Therefore, according to the commodity size of the packaged commodities in the commodity display image and the shelf size corresponding to the large area in the end frame, whether the height of the back plate which is not shielded by the packaged commodities in the large area is smaller than a preset height or not can be judged, if not, the corresponding problem to be optimized is judged, and the exposed height of the back plate needs to be reduced. Through setting up the predetermined height, make the whole dress commodity easily take, can not expose too much backplate simultaneously, guarantee the clean and tidy nature in the vision.
As shown in fig. 2, the shelf is an end shelf, the lowermost layer of the end shelf is a large area, and when a product is displayed in the large area, the back panel of the shelf cannot be completely covered, so that the back panel of the shelf is exposed at a height H. The size of the H is determined by recognizing the merchandise display image and the H is compared with a predetermined height to determine whether the H needs to be adjusted.
In addition, the products displayed on the end shelves are usually sales promotion products, and need to attract the attention of customers. When a customer browses the commodities on the end frame, the customer usually tends to buy the commodities with low price and cost, and if the price difference between different commodities displayed at the same time is large, the impression of the commodities with low price in the browsing process of the customer is deepened, the purchase desire of the customer for the commodities with low price is improved, and the customer is prompted to generate purchasing behavior. Therefore, it is possible to determine whether or not the price difference between different commodities displayed in the end shelves is larger than a predetermined difference, based on the price information in the commodity information. If not, judging that the corresponding problem to be optimized exists, and adjusting the commodities displayed on the end frame to enable the price difference between different commodities to be larger than the preset price difference. Therefore, the good feeling of the commodities on the end frame to customers can be enhanced through visual commodity price difference impact.
Further, there are some related relationships between some commodities, such as toothpaste and toothbrush, bowl and plate, etc. When purchasing these items, a customer may purchase the associated items at the same time. Moreover, some customers may be used to perform a preliminary calculation on the sum of the prices of various products to control the budget for purchasing the products when selecting the products. Therefore, the products having the association relationship are displayed in the close area, and the price between the associated products is controlled, thereby providing convenience to the customer. After the product display image is identified, it is possible to determine whether or not there is a correlation between different products in a predetermined area in the shelf and whether or not the prices corresponding to the different products having the correlation satisfy a predetermined rounding condition. If not, judging that the corresponding problem to be optimized exists, and adjusting the position of the commodity with the association relation or finely adjusting the price of the commodity with the association relation. By determining the incidence relation among the commodities in the preset area and controlling the prices of the commodities to meet the rounding condition, the price calculation of a customer can be facilitated, the tedious mental calculation which is possibly carried out by the customer is reduced, the purchasing process of the customer is smoother, and the purchasing expectation of the customer is favorably improved.
In one or more embodiments of the present specification, in the case where the merchant is a small-sized sales store, the service range of the small-sized sales store is narrower than that of a large-sized sales store such as a supermarket, and the types of the customer groups are single and are basically nearby (for example, the types of the customer groups of the small-sized sales store near the school are mainly students of the school, and the types of the customer groups of the convenience store near the hospital are mainly doctors and patients of the hospital, etc.), so that the visual improvement of the product display is considered to be performed more specifically for these customers, and the effect is achieved with half the effort.
For example, the type of a peripheral area of the location of the small shop is determined (for example, a school, a hospital, a general community, a community with many elderly people, a stadium, etc.), a merchant may upload a product display image of the merchant and location information of the store of the merchant, predict a customer group type according to the type of the peripheral area, determine whether a plurality of products have a combined configuration matching the customer group type on a shelf according to the product information and the location information of the products on the shelf, and if not, determine that a corresponding problem to be optimized exists, and automatically generate a matching combined configuration scheme as a product display optimization scheme.
The combined configuration comprises a plurality of commodities which form a meaningful appearance structure or pattern integrally after being displayed, such as characters, article patterns, three-dimensional article shapes and the like. Taking a primary school as an example, the matched combined configuration is, for example, a red scarf graph formed by a plurality of cans of different colas; taking a hospital as an example, the matched combined configuration such as a sword-shaped (having a healthy meaning) formed by daily consumable commodities of some patients can give a good visual experience to a corresponding specific customer group, which is beneficial to effectively and orderly presenting resources in a small-sized shop and reducing the interactive communication cost of the two parties.
In one or more embodiments of the present disclosure, when the merchant is a small-sized sales shop, a plurality of product display images uploaded by a person (e.g., the merchant) in the small-sized sales shop may be received. Based on the characteristic that the space of the small-sized selling store is small and the content is relatively few, a plurality of commodity display images can be spliced, a virtual space model corresponding to the real scene of the small-sized selling store is constructed according to the splicing of the commodity display images, so that the panoramic exhibition of the small-sized selling store is realized, the panoramic exhibition is convenient for customers, and in addition, because the actual content is not large in size, the large burden cannot be brought to the customers. Through the panorama show, can discern whether the cooperation relation between the commodity of judging different goods shelves has the problem of treating optimization, carry out the optimization of commodity display in view of the above. Thus, the product displays of all the shelves in the whole store can be integrally grasped, the matching relation of the product displays among the shelves is optimized, the product displays among the shelves can be matched with each other, and the visual tidiness and style consistency are realized. Meanwhile, based on the small-area characteristic of the small-size selling store, the construction of a virtual space model of the cloud server and the optimization judgment of the panorama can be realized with less calculation amount.
Further, when the matching relation between the commodities on different shelves is judged to have a problem through panoramic display, whether the color matching between the commodities on different shelves meets the preset matching harmony condition or not can be judged according to the color matching between the commodities on different shelves in the panoramic display. If not, the corresponding problem to be optimized is judged to exist, and the commodities on a plurality of shelves need to be arranged in a whole to carry out large adjustment of commodity display. Wherein, the collocation harmony condition can include: the color of the commodities displayed on the shelf in the set area cannot exceed the preset number, so that the phenomenon that the commodity display color is too whistling and cannot be lower than the preset number is prevented, and the phenomenon that the commodity display color is too monotonous is prevented; displaying the commodities on different shelves according to the color of the color circle; displaying commodities on different shelves according to the cool tone and the warm tone; the commodities displayed in the end frame can form a preset advertising pattern according to the colors of different commodities so as to enhance the effect of promotion.
In conjunction with the foregoing description, one or more embodiments of the present disclosure provide a detailed flow chart of the method in fig. 1 in an application scenario, where some of the foregoing alternatives are used, and the flow chart is shown in fig. 3.
In fig. 3, a merchant may take a display image of a shelf in a store through a mobile terminal and upload the display image to a cloud server. The server can acquire information such as commodity names, commodity brands and the like from the commodity display images through target identification. After uploading the images, the merchant can choose to manually enter the size of the shelf. If the merchant does not manually input the size of the goods shelf, the server can inquire and determine the size of the goods from the goods library according to the obtained goods information. Then, the shelf size can be estimated based on the size of the product and the information on the position of the product in the shelf. After the shelf size is determined, the server can judge whether the current commodity display has a problem to be optimized according to the commodity size, the shelf size and the position information of the current commodity in the shelf. If the optimization scheme exists, the server can generate a corresponding optimization scheme and return the optimization scheme to the mobile terminal of the merchant, so that the merchant can optimize and adjust the commodity display in the store according to the optimization scheme.
In this scheme, the merchant handles by the high in the clouds after through uploading the commodity display image in the shop, can directly obtain the high in the clouds optimization scheme that returns after handling, optimizes the adjustment to the commodity display in the shop in view of the above, and convenient and fast, easy operation to client, experiences better, can improve shopping efficiency, reduces the wasting of resources.
Based on the same idea, one or more embodiments of the present specification further provide apparatuses and devices corresponding to the above-described method, as shown in fig. 4 and 5.
Fig. 4 is a schematic structural diagram of a merchandise display optimization device according to one or more embodiments of the present disclosure, the device including:
an acquisition module 402 for acquiring a commodity display image of a shelf of a merchant;
a determination module 404, configured to determine, by performing target recognition on the product display image, product information, shelf information, and position information of a product on a shelf in the product display image;
the judging module 406 is used for judging whether the matching relationship between the commodities and the shelf or between different commodities has a problem to be optimized or not according to the determined information;
and if so, generating a corresponding commodity display optimization scheme according to the problem to be optimized.
Optionally, the commodity information includes a commodity name and a commodity size, and the shelf information includes a shelf size; the determining module 404, configured to identify and determine the product name of the product in the product display image; according to the commodity name, inquiring to obtain a corresponding commodity size; and carrying out comparison estimation according to the commodity size, and determining the shelf size of the shelf in the commodity display image.
Optionally, the determining module 406 determines whether the number of commodities on the shelf and/or the size of a gap between the commodities is reasonable according to the commodity size, the shelf size and the position information; and if not, judging that the corresponding problem to be optimized exists.
Optionally, the merchant is a small selling store; the judging module 406 determines the type of the peripheral area of the location where the small selling store is located; predicting a customer group type according to the type of the peripheral area; judging whether a plurality of commodities have a combined configuration matched with the types of the customer groups on the shelves or not according to the commodity information and the position information of the commodities on the shelves; and if not, judging that the corresponding problem to be optimized exists.
Optionally, the determining module 406 determines, according to the position information, areas respectively occupied by the sets of different commodities placed adjacently on the shelf; judging whether the dividing lines between the areas meet the preset longitudinal dividing line condition or not; and if not, judging that the corresponding problem to be optimized exists.
Optionally, the determining module 406 identifies the type of the shelf to determine whether the shelf is an end frame at both ends, the end frame including a large area for displaying the self-contained goods;
if so, judging whether the height of the back plate which is not shielded by the self-contained commodities in the large area is smaller than a preset height or not according to the commodity size of the self-contained commodities and the shelf size corresponding to the large area;
and if the height is not less than the preset height, judging that a corresponding problem to be optimized exists.
Optionally, the determining module 406 determines whether a price difference between different commodities displayed in the end shelves is greater than a predetermined price difference according to the price information in the commodity information; and if not, judging that the corresponding problem to be optimized exists.
Optionally, the determining module 406 determines whether there is an association between different commodities in a predetermined area in the shelf, and whether the prices corresponding to the different commodities with the association meet a predetermined rounding condition; and if not, judging that the corresponding problem to be optimized exists.
Optionally, the merchant is a small selling store; the acquisition module 402 receives a plurality of commodity display images uploaded by personnel in the small selling shop; the apparatus further comprises a panoramic display module 410, wherein the panoramic display module 410 performs, after the acquisition module 402 acquires the merchandise display image of the shelf of the merchant: stitching the plurality of merchandise display images; constructing a corresponding virtual space model according to the splicing of the plurality of commodity display images so as to realize panoramic display; and identifying and judging whether the matching relation among the commodities of different shelves has a problem to be optimized or not through the panoramic display.
Optionally, the panoramic display module 410 determines whether the color matching between the commodities on different shelves meets a predetermined matching harmony condition according to the color matching between the commodities on different shelves in the panoramic display; and if not, judging that the corresponding problem to be optimized exists.
Fig. 5 is a schematic structural diagram of a merchandise display optimization device according to one or more embodiments of the present disclosure, where the device includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring a commodity display image of a merchant shelf;
determining commodity information, shelf information and position information of commodities on shelves in the commodity display image by carrying out target recognition on the commodity display image;
judging whether the matching relation between the commodities and the goods shelf or between different commodities has a problem to be optimized or not according to the determined information;
and if so, generating a corresponding commodity display optimization scheme according to the problem to be optimized.
Based on the same idea, one or more embodiments of the present specification further provide a non-volatile computer storage medium corresponding to the above method, and storing computer-executable instructions configured to:
acquiring a commodity display image of a merchant shelf;
determining commodity information, shelf information and position information of commodities on shelves in the commodity display image by carrying out target recognition on the commodity display image;
judging whether the matching relation between the commodities and the goods shelf or between different commodities has a problem to be optimized or not according to the determined information;
and if so, generating a corresponding commodity display optimization scheme according to the problem to be optimized.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: the ARC625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
As will be appreciated by one skilled in the art, the present specification embodiments may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the embodiments of the apparatus, the device, and the nonvolatile computer storage medium, since they are substantially similar to the embodiments of the method, the description is simple, and for the relevant points, reference may be made to the partial description of the embodiments of the method.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The above description is merely one or more embodiments of the present disclosure and is not intended to limit the present disclosure. Various modifications and alterations to one or more embodiments of the present description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of one or more embodiments of the present specification should be included in the scope of the claims of the present specification.

Claims (21)

1. A merchandise display optimization method comprising:
acquiring a commodity display image of a merchant shelf;
determining commodity information, shelf information and position information of commodities on shelves in the commodity display image by carrying out target recognition on the commodity display image;
judging whether the matching relation between the commodities and the goods shelf or between different commodities has a problem to be optimized or not according to the determined information;
and if so, generating a corresponding commodity display optimization scheme according to the problem to be optimized.
2. The method of claim 1, the merchandise information including a merchandise name and a merchandise size, the shelf information including a shelf size;
the determining the commodity information and the shelf information in the commodity display image specifically includes:
identifying and determining a commodity name of a commodity in the commodity display image;
according to the commodity name, inquiring to obtain a corresponding commodity size;
and carrying out comparison estimation according to the commodity size, and determining the shelf size of the shelf in the commodity display image.
3. The method according to claim 2, wherein the determining, according to the determined information, whether the matching relationship between the commodity and the shelf or between different commodities has a problem to be optimized specifically includes:
judging whether the quantity of commodities on the shelf and/or the size of gaps among the commodities is reasonable or not according to the commodity size, the shelf size and the position information;
and if not, judging that the corresponding problem to be optimized exists.
4. The method of claim 1, the merchant being a small sales outlet;
the determining whether the matching relationship between the commodity and the shelf or between different commodities has a problem to be optimized according to the determined information specifically includes:
determining the type of the peripheral area of the position where the small selling store is located;
predicting a customer group type according to the type of the peripheral area;
judging whether a plurality of commodities have a combined configuration matched with the types of the customer groups on the shelves or not according to the commodity information and the position information of the commodities on the shelves;
and if not, judging that the corresponding problem to be optimized exists.
5. The method according to claim 1, wherein the determining, according to the determined information, whether the matching relationship between the commodity and the shelf or between different commodities has a problem to be optimized specifically includes:
determining areas respectively occupied by different sets of goods which are adjacently placed on the goods shelf according to the position information;
judging whether the dividing lines between the areas meet the preset longitudinal dividing line condition or not;
and if not, judging that the corresponding problem to be optimized exists.
6. The method according to claim 2, wherein the determining, according to the determined information, whether the matching relationship between the commodity and the shelf or between different commodities has a problem to be optimized specifically includes:
identifying the type of the shelf to determine whether the shelf is an end frame at both ends, the end frame including a bulk area for displaying the self-contained merchandise;
if so, judging whether the height of the back plate which is not shielded by the self-contained commodities in the large area is smaller than a preset height or not according to the commodity size of the self-contained commodities and the shelf size corresponding to the large area;
and if the height is not less than the preset height, judging that a corresponding problem to be optimized exists.
7. The method according to claim 6, wherein the determining, according to the determined information, whether the matching relationship between the commodity and the shelf or between different commodities has a problem to be optimized specifically includes:
judging whether the price difference between different commodities displayed in the end frame is larger than a preset price difference or not according to the price information in the commodity information;
and if not, judging that the corresponding problem to be optimized exists.
8. The method according to claim 1, wherein the determining, according to the determined information, whether the matching relationship between the commodity and the shelf or between different commodities has a problem to be optimized specifically includes:
judging whether the different commodities in the preset area of the shelf are associated or not and whether the prices corresponding to the associated different commodities meet a preset rounding condition or not;
and if not, judging that the corresponding problem to be optimized exists.
9. The method of claim 1, the merchant being a small sales outlet;
the acquiring of the commodity display image of the merchant shelf specifically includes:
receiving a plurality of commodity display images uploaded by personnel of the small-sized shop;
after the obtaining of the merchandise display image of the merchant shelf, the method further comprises:
stitching the plurality of merchandise display images;
constructing a corresponding virtual space model according to the splicing of the plurality of commodity display images so as to realize panoramic display;
and identifying and judging whether the matching relation among the commodities of different shelves has a problem to be optimized or not through the panoramic display.
10. The method according to claim 9, wherein the identifying and determining whether the matching relationship between the commodities on different shelves has a problem to be optimized through the panoramic display specifically comprises:
according to the color collocation among the commodities on different shelves in the panoramic display, judging whether the color collocation among the commodities on different shelves meets a preset collocation harmony condition;
and if not, judging that the corresponding problem to be optimized exists.
11. A merchandise display optimization device comprising:
the acquisition module acquires a commodity display image of a commodity shelf of a merchant;
the determining module is used for determining commodity information, shelf information and position information of commodities on shelves in the commodity display image by carrying out target recognition on the commodity display image;
the judging module is used for judging whether the matching relation between the commodity and the goods shelf or between different commodities has a problem to be optimized or not according to the determined information;
and if so, generating a corresponding commodity display optimization scheme according to the problem to be optimized.
12. The apparatus of claim 11, the item information comprising an item name and an item size, the shelf information comprising a shelf size;
the determining module is used for identifying and determining the commodity name of the commodity in the commodity display image;
according to the commodity name, inquiring to obtain a corresponding commodity size;
and carrying out comparison estimation according to the commodity size, and determining the shelf size of the shelf in the commodity display image.
13. The apparatus of claim 12, wherein the determination module determines whether the number of items on the shelf and/or the size of the gap between items is reasonable based on the item size, the shelf size, and the location information;
and if not, judging that the corresponding problem to be optimized exists.
14. The apparatus of claim 11, the merchant being a small sales outlet;
the judging module is used for determining the type of the peripheral area of the position where the small selling shop is located;
predicting a customer group type according to the type of the peripheral area;
judging whether a plurality of commodities have a combined configuration matched with the types of the customer groups on the shelves or not according to the commodity information and the position information of the commodities on the shelves;
and if not, judging that the corresponding problem to be optimized exists.
15. The apparatus of claim 11, wherein the determination module determines, based on the position information, respective areas on the shelf occupied by sets of different products placed adjacent to each other;
judging whether the dividing lines between the areas meet the preset longitudinal dividing line condition or not;
and if not, judging that the corresponding problem to be optimized exists.
16. The apparatus of claim 12, the determination module to identify a type of the shelf to determine whether the shelf is an end shelf at both ends, the end shelf including a bulk area for displaying the self-contained items;
if so, judging whether the height of the back plate which is not shielded by the self-contained commodities in the large area is smaller than a preset height or not according to the commodity size of the self-contained commodities and the shelf size corresponding to the large area;
and if the height is not less than the preset height, judging that a corresponding problem to be optimized exists.
17. The apparatus of claim 16, wherein the determining module determines whether a price difference between different products displayed in the end shelves is greater than a predetermined difference price according to price information in the product information;
and if not, judging that the corresponding problem to be optimized exists.
18. The apparatus of claim 11, wherein the determining module determines whether there is an association between different products in a predetermined area of the shelf and whether the prices corresponding to the different products in which the association exists meet a predetermined rounding condition;
and if not, judging that the corresponding problem to be optimized exists.
19. The apparatus of claim 11, the merchant being a small sales outlet;
the acquisition module is used for receiving a plurality of commodity display images uploaded by personnel in the small shop;
the device also comprises a panoramic display module, and the panoramic display module executes the following steps after the acquisition module acquires the commodity display image of the commercial tenant shelf:
stitching the plurality of merchandise display images;
constructing a corresponding virtual space model according to the splicing of the plurality of commodity display images so as to realize panoramic display;
and identifying and judging whether the matching relation among the commodities of different shelves has a problem to be optimized or not through the panoramic display.
20. The apparatus of claim 19, wherein the panoramic display module determines whether the color matching between the products on different shelves meets a predetermined matching harmony condition according to the color matching between the products on different shelves in the panoramic display;
and if not, judging that the corresponding problem to be optimized exists.
21. A merchandise display optimization apparatus comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring a commodity display image of a merchant shelf;
determining commodity information, shelf information and position information of commodities on shelves in the commodity display image by carrying out target recognition on the commodity display image;
judging whether the matching relation between the commodities and the goods shelf or between different commodities has a problem to be optimized or not according to the determined information;
and if so, generating a corresponding commodity display optimization scheme according to the problem to be optimized.
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113744213A (en) * 2021-08-23 2021-12-03 上海明略人工智能(集团)有限公司 Method and system for detecting regularity of food balance, computer equipment and storage medium
CN114419289A (en) * 2021-12-29 2022-04-29 广州市玄武无线科技股份有限公司 Unity-based virtual scene shelf display method and system
CN114511820A (en) * 2022-04-14 2022-05-17 美宜佳控股有限公司 Goods shelf commodity detection method and device, computer equipment and storage medium
CN115359117A (en) * 2022-08-30 2022-11-18 创新奇智(广州)科技有限公司 Commodity display position determining method, commodity display position determining device and readable storage medium
CN116342169A (en) * 2023-05-26 2023-06-27 湖南云数信息科技有限公司 Commodity display position determining method and unmanned vending system
CN117152540A (en) * 2023-10-27 2023-12-01 浙江由由科技有限公司 Intelligent pricing method for fresh goods considering display position, sales volume and classification precision
WO2024050686A1 (en) * 2022-09-06 2024-03-14 烟台创迹软件有限公司 Analysis method, analysis apparatus and analysis system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102930264A (en) * 2012-09-29 2013-02-13 李炳华 System and method for acquiring and analyzing commodity display information based on image identification technology
CN103384892A (en) * 2011-03-01 2013-11-06 宝洁公司 Displaying data for a physical retail environment on a virtual illustration of the physical retail environment
CN107463946A (en) * 2017-07-12 2017-12-12 浙江大学 A kind of type of merchandize detection method of combination template matches and deep learning
CN111222389A (en) * 2019-01-10 2020-06-02 图灵通诺（北京）科技有限公司 Method and system for analyzing commodities on commercial and super goods shelf
CN111724188A (en) * 2019-03-22 2020-09-29 北京沃东天骏信息技术有限公司 Method, apparatus, device and storage medium for optimizing commodity display position
CN111738537A (en) * 2019-03-25 2020-10-02 阿里巴巴集团控股有限公司 Shelf display method, shelf display apparatus, and storage medium
CN111753614A (en) * 2019-11-01 2020-10-09 北京京东尚科信息技术有限公司 Commodity shelf monitoring method and device

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103384892A (en) * 2011-03-01 2013-11-06 宝洁公司 Displaying data for a physical retail environment on a virtual illustration of the physical retail environment
CN102930264A (en) * 2012-09-29 2013-02-13 李炳华 System and method for acquiring and analyzing commodity display information based on image identification technology
CN107463946A (en) * 2017-07-12 2017-12-12 浙江大学 A kind of type of merchandize detection method of combination template matches and deep learning
CN111222389A (en) * 2019-01-10 2020-06-02 图灵通诺（北京）科技有限公司 Method and system for analyzing commodities on commercial and super goods shelf
CN111724188A (en) * 2019-03-22 2020-09-29 北京沃东天骏信息技术有限公司 Method, apparatus, device and storage medium for optimizing commodity display position
CN111738537A (en) * 2019-03-25 2020-10-02 阿里巴巴集团控股有限公司 Shelf display method, shelf display apparatus, and storage medium
CN111753614A (en) * 2019-11-01 2020-10-09 北京京东尚科信息技术有限公司 Commodity shelf monitoring method and device

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113744213A (en) * 2021-08-23 2021-12-03 上海明略人工智能(集团)有限公司 Method and system for detecting regularity of food balance, computer equipment and storage medium
CN114419289A (en) * 2021-12-29 2022-04-29 广州市玄武无线科技股份有限公司 Unity-based virtual scene shelf display method and system
CN114511820A (en) * 2022-04-14 2022-05-17 美宜佳控股有限公司 Goods shelf commodity detection method and device, computer equipment and storage medium
CN115359117A (en) * 2022-08-30 2022-11-18 创新奇智(广州)科技有限公司 Commodity display position determining method, commodity display position determining device and readable storage medium
CN115359117B (en) * 2022-08-30 2023-05-02 创新奇智(广州)科技有限公司 Commodity display position determining method, commodity display position determining device and readable storage medium
WO2024050686A1 (en) * 2022-09-06 2024-03-14 烟台创迹软件有限公司 Analysis method, analysis apparatus and analysis system
CN116342169A (en) * 2023-05-26 2023-06-27 湖南云数信息科技有限公司 Commodity display position determining method and unmanned vending system
CN116342169B (en) * 2023-05-26 2023-08-15 湖南云数信息科技有限公司 Commodity display position determining method and unmanned vending system
CN117152540A (en) * 2023-10-27 2023-12-01 浙江由由科技有限公司 Intelligent pricing method for fresh goods considering display position, sales volume and classification precision
CN117152540B (en) * 2023-10-27 2024-01-09 浙江由由科技有限公司 Intelligent pricing method for fresh goods considering display position, sales volume and classification precision

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