Intelligent commodity shelf management system and operation method

Abstract

This invention relates to an intelligent merchandise shelf management system and its operation method, comprising an operation display device for users to input merchandise requirements; an information module electrically connected to the operation display device and including an analysis module and a merchandise database, wherein the analysis module receives and analyzes the input merchandise requirements and compares them with the merchandise database to select matching merchandise data; a content management system electrically connected to the information module and receiving merchandise data provided by the analysis module; and a sales point information system containing several items of merchandise sales-related information and electrically connected to the content management system; the content management system compares the merchandise data with the several items of merchandise sales-related information to obtain merchandise sales-related information matching the merchandise data and transmits the merchandise sales-related information to the operation display device.

Description

TECHNICAL FIELD

[0001] The present application relates to an intelligent merchandise shelf management system and operation method, in particular to a merchandise shelf system capable of quickly providing consumers with merchandise sales related information. BACKGROUND

[0002] Currently, selling places or stores, such as general merchandise stores or discount stores, sell various types of merchandise, and each type of merchandise may have different brands and functions for consumers to choose from. Therefore, users often need to spend a considerable amount of time to find the desired merchandise. Although service personnel are currently configured in selling places or stores to assist in finding merchandise, the configuration of service personnel is limited, and if the location of the merchandise display is moved, the service personnel may not be able to update the relevant information in time, and thus cannot provide consumers with accurate merchandise related information. In addition, because selling places or stores often have different promotional activities, the prices of merchandise often change, but the merchandise price tags may not be corrected in time, which may cause consumers to feel unhappy when the amount to be paid does not match the price tags of the goods. Therefore, how to provide consumers with a pleasant shopping experience is the direction of the technical field.

[0003] For example, TW202029078A discloses an intelligent shopping system and a control method thereof. The system uses a camera to obtain image information of customers entering the selling place, analyzes the explicit characteristics of the customers based on the image information, and generates salesperson recommendation information or merchandise recommendation information. The salesperson recommendation information is used to assign salespersons to serve customers, and the merchandise recommendation information is used to recommend suitable merchandise to customers. However, this type of system actively recommends merchandise to consumers, and for consumers who already have a desired type of merchandise to purchase, this system still cannot provide them with quick access to the desired merchandise information. SUMMARY

[0004] Therefore, the present application is developed based on the spirit of unremitting efforts, and is assisted by rich professional knowledge and many years of practical experience, and thus the present application is created.

[0005] The main purpose of the present application is to provide an intelligent merchandise shelf management system. By using an information module, a content management system, and a sales point information system, the system compares and analyzes the merchandise requirements input by consumers with merchandise database, filters out merchandise data that meet the merchandise requirements, and presents merchandise sales related information, such as the placement position of the merchandise on the shelf, to consumers, so that consumers can easily and quickly find the desired merchandise.

[0006] The intelligent commodity shelf management system of the present application comprises an operation display device, an information module, a content management system and a sales point information system; the operation display device is used for a consumer to input a commodity demand; the information module is electrically connected to the operation display device and comprises an analysis module and a commodity database, wherein the commodity database comprises a plurality of commodity data, the analysis module is used for receiving and analyzing the commodity demand input by the consumer, and then comparing the commodity demand with the commodity data in the commodity database to select commodity data meeting the commodity demand; the content management system is electrically connected to the information module and receives the commodity data meeting the commodity demand provided by the analysis module; the sales point information system comprises a plurality of commodity sales related information and commodity inventory information and is electrically connected to the content management system, wherein the commodity sales related information comprises commodity location information; the content management system compares the commodity data meeting the commodity demand with the plurality of commodity sales related information to obtain commodity sales related information meeting the commodity data, and transmits the commodity sales related information to the operation display device for the consumer to refer.

[0007] The operation method of the intelligent commodity shelf management system of the present application comprises the following steps: step one, inputting a commodity demand on an operation display device, and sending the commodity demand to an information module, wherein the information module is electrically connected to the operation display device and comprises an analysis module and a commodity database; step two, the analysis module of the information module receives and analyzes the commodity demand, and compares the commodity demand with a plurality of commodity data in the commodity database to select at least one commodity data meeting the commodity demand; step three, sending the at least one commodity data to a content management system electrically connected to the information module, wherein the content management system is connected to a sales point information system, and the content management system can be connected to the sales point information system through a wireless network or a general network, and the sales point information system comprises a plurality of commodity sales related information; and step four, the content management system compares the at least one commodity data with the plurality of commodity sales related information of the sales point information system to obtain commodity sales related information meeting the at least one commodity data, and transmits the commodity sales related information to the operation display device.

[0008] In an embodiment of the present application, the information module creates a commodity demand correlation analysis rule by using a deep learning method.

[0009] In an embodiment of the present application, the operation display device comprises a touch panel, a voice operation device and a display panel.

[0010] In an embodiment of the present application, a photographing and identifying module is further included, which is electrically connected to the sales point information system and includes an image acquisition device and an image identifying module. The image acquisition device is provided with a number, and is used to take images of the goods placed on the shelves to obtain image data, and then send the image data to the image identifying module to identify the appearance and placement position of the goods, obtain an identification result, and transmit the identification result and the number of the image acquisition device that obtains the image data to the sales point information system for integration to generate the goods placement information of the goods.

[0011] In an embodiment of the present application, the photographing and identifying module creates an identification analysis rule by using a deep learning method.

[0012] In an embodiment of the present application, the photographing and identifying module includes a plurality of image acquisition devices.

[0013] In an embodiment of the present application, a goods label is further provided, which is arranged on the shelf and adjacent to the goods.

[0014] In an embodiment of the present application, the sales information of the goods includes the price information of the goods and the sales information on other sales platforms.

[0015] Therefore, the intelligent goods shelf management system of the present application can quickly provide suitable goods and the placement positions of the goods for the consumers to select and purchase after the consumers input the goods demand, which can not only reduce the time and energy consumed by the consumers for searching the goods, but also reduce the configuration of the service personnel in the sales area and the operating cost of the sales area. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0017] Figure 1 is a schematic diagram of the architecture of the intelligent goods shelf management system of the present application;

[0018] Figure 2 is a schematic diagram of the architecture of the photographing and identifying module of the present application;

[0019] Figure 3 is a schematic diagram of the use of the intelligent goods shelf management system of the present application Figure 1 ;

[0020] Figure 4 Use of the intelligent merchandise shelf management system of the present application Figure 2 .

[0021] Reference Signs List:

[0022] 1: operation display device 11: touch screen

[0023] 2: information module 21: analysis module

[0024] 22: merchandise database 3: content management system

[0025] 4: sales point information system 5: photographic recognition module

[0026] 51: image acquisition device 6: shelf

[0027] 7: merchandise 71: merchandise label

[0028] 8: server m1: merchandise demand

[0029] m2: merchandise data m3: merchandise sales related information

[0030] m4: merchandise location information m5: recognition result

[0031] U: consumer. DETAILED DESCRIPTION

[0032] The purpose of the present application and its structural and functional advantages will be described in accordance with the structure shown in the following figures, together with specific examples, so that the examiner can have a deeper and more specific understanding of the present application. The following specific examples are used to further prove the scope of practical application of the present application, but are not intended to limit the scope of the present application in any form.

[0033] Please refer to Figure 1 and Figure 3The intelligent commodity shelf management system of the present application mainly comprises an operation display device (1), an information module (2), a content management system (3) and a sales point information system (4). The operation display device (1) comprises a touch panel, a voice operation device and a display panel, which can also be a touch screen (11), or a display screen comprising a radio device, and the operation display device (1) is electrically connected to the information module (2); the information module (2) comprises an analysis module (21) and a commodity database (22), and a commodity demand correlation analysis rule is created by a deep learning method; the content management system (3) is electrically connected to the information module (2) and the sales point information system (4), wherein the sales point information system (4) comprises a plurality of commodity sales related information and commodity inventory information, such as commodity location information on the shelf, or commodity price information, and commodity inventory, etc. The commodity demand correlation analysis rule is classified according to the characteristics of the commodities in the commodity database (22), for example, the components or functional effects of all drugs or health foods, a demand-analysis model is trained by a deep learning method, and then the user only needs to input the demand to quickly calculate the suitable components of drugs or health foods and provide reference for the user; in addition, the deep learning method integrates the technologies of neural network, decision tree and random forest to develop the above-mentioned commodity demand correlation analysis rule.

[0034] Please refer to Figure 2 and Figure 3 The present application further comprises a photographic recognition module (5) electrically connected to the sales point information system (4), which comprises at least one image acquisition device (51) and an image recognition module (52), and the image acquisition device (51) can be different photographic lenses, such as IP cam.

[0035] In addition, the present application can also set commodity labels (71) near the different commodity (7) placement positions on the shelf (6), and the commodity labels (71) can also be touch display devices for displaying the sales information of the commodities, such as price, preferential activities and other purchase platform information, etc.

[0036] Please refer to Figures 1 to 4The actual use of the case, and this embodiment is with pharmacy or cosmetic shop as an example, but not to limit the scope of the case intended to protect: consumers (U) into the market or the store, can first in the operation of display device (1), with touch screen (11) input desired to find the goods demand (m1), or is with voice operation device, with voice input goods demand (m1), with pharmacy as an example, the touch screen (11) will first display including the human body parts or organs of the schematic diagram, assuming that consumers (U) to find the nasal congestion or nasal allergy related drugs, can click on the schematic diagram of the nose, or in the form of voice said "nose" or "nose", then the touch screen (11) can further display the symptoms of the disease related to the nose for consumers (U) to choose, the consumer selects the corresponding symptoms, this goods demand (m1) will be sent to the information module (2), the analysis module (21) of information module (2) will first analyze the received goods demand (m1), then from the goods database (22) to compare the appropriate goods data (m2), then the goods data (m2) is transmitted to the content management system (3), in this embodiment, the goods data (m2) is corresponding to the nasal symptoms of the drug ingredients.

[0037] The information module (2) of the present application will first in the analysis module (21), the relevance analysis rules between the goods demand (m1) and the goods data (m2), the above pharmacy as an example, will be the user input symptoms, after analysis to obtain the corresponding associated drug ingredients, then from the goods database (22) to compare whether the pharmacy has the drug with this component.

[0038] Please see Figure 2The image acquisition device (51) of the photographic recognition module (5) photographs the product (7) placed on the shelf (6) to obtain image data, and then sends the image data to the image recognition module (52) to recognize the appearance and placement position of the product (7), so that the placement position of the specific product can be known, that is, the recognition result (m5) of the product. Since each image acquisition device (51) has a different number or a different IP address, the recognition result (m5) of the product and the number of the image acquisition device (51) that returns the image of the product are transmitted to the content management system (3). In the preferred embodiment of the present case, the image recognition module (52) creates an identification analysis rule by using a deep learning method. The creation of the identification analysis rule is to first create a database of multi-angle appearance images of all products, and then train an image recognition model by using a deep learning method. After that, the image obtained by the image acquisition device (51) can be input into the image recognition model to correctly infer the type and name of the product. The deep learning method here integrates the technologies of neural network, pattern recognition and digital image processing. In addition, the present application automatically identifies the position of the product (7) on the shelf (6) by using the photographic recognition module (5), so that even after the position of the product (7) is rearranged, the position of the product (7) can still be identified by using the photographic recognition module (5), and the recognition result (m5) can be transmitted to the content management system (3), so that there is no need to manually input the latest placement position of the product (7), and the possibility of inputting incorrect data when manually inputting data is reduced. At the same time, the content management system (3) also receives the product sales related information (m3) transmitted by the sales point information system (4), which includes the product position information (m4).

[0039] The content management system (3) compares the received product data (m2) with a plurality of product sales related information (m3) to select product sales related information (m3) that matches the product data (m2) from the product sales related information (m3), and then the content management system (3) transmits the matching product sales related information (m3) to the operation display device (1) to present it to the consumer (U), so that the consumer (U) can directly go to the corresponding shelf (7) to take the product (7) according to the product sales related information (m3).

[0040] In addition, the sales point information system (4) includes product inventory information, so that when the content management system (3) matches the product, the inventory of the product can also be obtained. If the inventory of the product is insufficient, the staff will be reminded to restock.

[0041] Please refer to Figure 4When the consumer (U) walks to the corresponding shelf (6), a product label (71) is also provided at a position corresponding to each product (7) on the shelf (6), and the product label (71) can also be a touch display device. After the user touches the product label (71), the product label (71) is activated, and the activated message is transmitted to the content management system (3). After the content management system (3) identifies which product label (71) of which product (7) is activated, the corresponding product (7) of the product label (71) is transmitted to the sales point information system (4), and the sales point information system (4) transmits the information of the product (7) to the e-commerce system. The sales information of the product (7), such as the price, the preferential activity, and other information of the purchase platform, is displayed on the product label (71) for the consumer (U) to refer to.

[0042] In addition, as shown in Figure 3 and Figure 4 , the information module (2), the content management system (3), the sales point information system (4), the image recognition module (52) of the photographic recognition module (5), and the e-commerce system can be provided on one or more servers (8), which can be physical or cloud servers.

[0043] From the above implementation description, compared with the prior art, the present application has the following advantages:

[0044] First, the intelligent product shelf management system of the present application can quickly obtain the desired product and the placement position of the product after the consumer inputs the demand through the operation of the display device, thereby reducing the time for the consumer to find the product in the store, which is very convenient, and the store operator can also reduce the number of service personnel and reduce the operating cost.

[0045] Second, the intelligent product shelf management system of the present application automatically identifies the position of the product by using the image recognition module, so that even if the position of the product is changed, the product position information in the sales point information system can be automatically and timely modified without the need for manual input of the product position information, and errors caused by manual input can also be avoided.

[0046] Third, the intelligent product shelf management system of the present application is suitable for various types of stores, especially stores selling a variety of products, such as pharmacies, beauty stores, department stores, and hardware stores, and has a wide range of applications.

[0047] In summary, the product shelf system of the present application can indeed achieve the intended use effect by the above-mentioned embodiments, and the present application has not been disclosed before the application, which fully complies with the regulations and requirements of the Patent Law. Therefore, the application for the invention patent is submitted in accordance with the law.

[0048] The above-mentioned icon and description are only the preferred embodiments of the present application, not the limitation of the protection scope of the present application; any person skilled in the art, who is based on the characteristics of the present application, makes other equivalent changes or modifications, should be considered as not departing from the design category of the present application.

Claims

1. An intelligent merchandise shelf management system, characterized by, The application relates to a system for providing a product demand, comprising: an operation display device for a user to input a product demand; an information module electrically connected to the operation display device and comprising an analysis module and a product database, wherein the product database comprises a plurality of product data, the analysis module is used for receiving and analyzing the product demand input by the user, and comparing the product demand with the product data in the product database to select at least one product data meeting the product demand; a content management system electrically connected to the information module and receiving the at least one product data provided by the analysis module; a sales point information system comprising a plurality of product sales related information and electrically connected to the content management system, wherein the product sales related information comprises a plurality of product location information and product inventory information; wherein the content management system is used for comparing the at least one product data with the plurality of product sales related information to obtain product sales related information meeting the at least one product data and transmitting the product sales related information to the operation display device; and a photographic recognition module electrically connected to the sales point information system and comprising an image acquisition device and an image recognition module, wherein the image acquisition device is provided with a number, the image acquisition device is used for shooting a product placed on a shelf to obtain image data, transmitting the image data to the image recognition module to identify the appearance and placement position of the product, obtaining an identification result, transmitting the identification result and the number of the image acquisition device obtaining the image data to the sales point information system, and integrating in the sales point information system to generate product location information of the product. The information module establishes a product demand correlation analysis rule by using a deep learning method. The operation display device comprises a touch panel, a voice operation device and a display panel. The image recognition module establishes an identification analysis rule by using a deep learning method. The system further comprises a product label provided on the shelf and adjacent to the product. The product label is a touch display device and is used for displaying sales information of the product. The application relates to a system for providing a product demand, comprising: an operation display device for a user to input a product demand; an information module electrically connected to the operation display device and comprising an analysis module and a product database, wherein the product database comprises a plurality of product data, the analysis module is used for receiving and analyzing the product demand input by the user, and comparing the product demand with the product data in the product database to select at least one product data meeting the product demand; a content management system electrically connected to the information module and receiving the at least one product data provided by the analysis module; a sales point information system comprising a plurality of product sales related information and electrically connected to the content management system, wherein the product sales related information comprises a plurality of product location information and product inventory information; wherein the content management system is used for comparing the at least one product data with the plurality of product sales related information to obtain product sales related information meeting the at least one product data and transmitting the product sales related information to the operation display device; and a photographic recognition module electrically connected to the sales point information system and comprising an image acquisition device and an image recognition module, wherein the image acquisition device is provided with a number, the image acquisition device is used for shooting a product placed on a shelf to obtain image data, transmitting the image data to the image recognition module to identify the appearance and placement position of the product, obtaining an identification result, transmitting the identification result and the number of the image acquisition device obtaining the image data to the sales point information system, and integrating in the sales point information system to generate product location information of the product.

2. The intelligent merchandise shelf management system of claim 1, wherein, The information module establishes a product demand correlation analysis rule by using a deep learning method.

3. The intelligent merchandise shelf management system of claim 1, wherein, The operation display device comprises a touch panel, a voice operation device and a display panel.

4. The intelligent merchandise shelf management system of claim 1, wherein, The image recognition module establishes an identification analysis rule by using a deep learning method.

5. The intelligent merchandise shelf management system of claim 1, wherein, The system further comprises a product label provided on the shelf and adjacent to the product.

6. The intelligent merchandise shelf management system of claim 5, wherein, The product label is a touch display device and is used for displaying sales information of the product.

7. A method of operating an intelligent merchandise shelf management system, the method comprising: The application relates to a system for providing a product demand, comprising: an operation display device for a user to input a product demand; an information module electrically connected to the operation display device and comprising an analysis module and a product database, wherein the product database comprises a plurality of product data, the analysis module is used for receiving and analyzing the product demand input by the user, and comparing the product demand with the product data in the product database to select at least one product data meeting the product demand; a content management system electrically connected to the information module and receiving the at least one product data provided by the analysis module; a sales point information system comprising a plurality of product sales related information and electrically connected to the content management system, wherein the product sales related information comprises a plurality of product location information and product inventory information; wherein the content management system is used for comparing the at least one product data with the plurality of product sales related information to obtain product sales related information meeting the at least one product data and transmitting the product sales related information to the operation display device; and a photographic recognition module electrically connected to the sales point information system and comprising an image acquisition device and an image recognition module, wherein the image acquisition device is provided with a number, the image acquisition device is used for shooting a product placed on a shelf to obtain image data, transmitting the image data to the image recognition module to identify the appearance and placement position of the product, obtaining an identification result, transmitting the identification result and the number of the image acquisition device obtaining the image data to the sales point information system, and integrating in the sales point information system to generate product location information of the product. The information module establishes a product demand correlation analysis rule by using a deep learning method. The operation display device comprises a touch panel, a voice operation device and a display panel. The image recognition module establishes an identification analysis rule by using a deep learning method. The system further comprises a product label provided on the shelf and adjacent to the product. The product label is a touch display device and is used for displaying sales information of the product.

8. The operation method of the intelligent merchandise shelf management system according to claim 7, wherein, The product location information of a product is obtained by a photographic recognition module, and is transmitted to the sales point information system, the content management system and the operation display device. The photographic recognition module comprises an image acquisition device and an image recognition module. The image acquisition device is used to obtain image data of the product placed on a shelf, and then transmits the image data to the image recognition module to identify the appearance and placement position of the product, obtains an identification result, and transmits the identification result and the number of the image acquisition device obtaining the image data to the sales point information system, and integrates the same in the sales point information system to generate the product location information of the product.

9. The method of operating an intelligent merchandise shelf management system of claim 8, wherein, The information module establishes a product demand correlation analysis rule by a deep learning method, and the image recognition module suggests an identification analysis rule by a deep learning method.

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