Visual goods arrangement system for retail cabinets

Abstract

The invention discloses a retail cabinet visual delivery system, which is characterized in that key data such as inventory and sales of a retail cabinet are cached in a memory, and a real-time monitoring and intelligent adjusting mechanism is combined, so that the delivery process does not depend on manual judgment any more, and a dynamic decision is made according to latest and most accurate data. The cache inventory and cache sales system enables the system to obtain inventory and sales data in real time, and greatly improves the accuracy and timeliness of a delivery decision. The introduction of the AIOT system ensures the accurate scheduling and quick response of the commodities, especially in the face of inventory fluctuation and sales change, the optimal scheduling can be automatically generated and timely adjusted, manual intervention is reduced, and the operation efficiency and scheduling accuracy are improved. Besides, through the visual goods arrangement system, the user can visually check data such as inventory and sales volume of the goods, and schedule adjustment is carried out through simple operation, so that complex operation in a traditional goods arrangement process is greatly simplified, and operation convenience and user experience are improved.

Description

Technical Field

[0001] This application relates to the technical field of retail cabinet goods discharging, and particularly to a visual goods discharging system for retail cabinets. Background Art

[0002] With the continuous development of the retail industry and the progress of technology, intelligent retail has gradually become the mainstream trend. Against this background, as an important device for commodity display and sales, the efficiency and accuracy of the goods discharging system of retail cabinets directly affect the effectiveness of commodity sales and inventory management. Traditional retail cabinet goods discharging methods usually rely on manual operations. The goods discharging process is complex and depends on manual judgment and experience, often resulting in low efficiency and errors. Therefore, how to improve the efficiency and accuracy of the goods discharging process has become an important issue faced by the retail industry.

[0003] Currently, the scheduling of goods in retail cabinets mostly depends on manual modification of the shelf status, lane number, or commodity level of goods in a list. This manual operation method has many problems. First, manually modifying the scheduling information of goods takes a lot of time and effort, especially when facing a large number of goods and frequent goods discharging adjustments, the efficiency is low; second, due to relying on manual operations, it is often prone to goods discharging errors caused by human mistakes, affecting the sales effect. In addition, the existing goods discharging system lacks a real-time data feedback mechanism and cannot make dynamic adjustments based on changes in key indicators such as inventory and sales, which further affects the timeliness and accuracy of goods discharging decisions.

[0004] Therefore, in the scheduling of goods in retail cabinets, low manual operation efficiency, poor goods discharging accuracy, and insufficient real-time data feedback have become problems that urgently need to be solved. Summary of the Invention

[0005] This application provides a visual goods discharging system for retail cabinets, aiming to solve the problems of low manual operation efficiency, poor goods discharging accuracy, and insufficient real-time data feedback in the prior art.

[0006] A visual goods discharging system for retail cabinets, the system includes:

[0007] A cache inventory system, used to cache the inventory data in the retail cabinet into the memory;

[0008] A cache sales system, used to cache the sales data in the retail cabinet into the memory;

[0009] An AIoT system, used to monitor the inventory and sales data of the retail cabinet in real time and interact with the cache inventory system and the cache sales system in real time;

[0010] A visual goods discharging system, including: a basic information module, an inventory module, a sales module, a scheduling adjustment module, a price module, and a lane locking module.

[0011] In the above solution, optionally, the cache inventory system includes:

[0012] An inventory module for storing the inventory data of each retail cabinet;

[0013] An inventory change record module for storing the transaction data of the inventory change of goods in each retail cabinet.

[0014] In the above solution, optionally, the cache sales system includes:

[0015] A sales record module for storing the sales order data of each retail cabinet;

[0016] A sales index data module for calculating and storing the sales data of each retail cabinet in different time periods.

[0017] In the above solution, optionally, the AIoT system includes:

[0018] An order placement module for driving the hardware to pick up goods from the correct goods lane after the user places an order;

[0019] An order data upload module for uploading the order data to the cache sales system in a timely manner after the order is successfully placed.

[0020] In the above solution, optionally, the basic information module of the visualization goods arrangement system is used for:

[0021] Maintaining the location information of the retail cabinets to support sales, scheduling, inventory, and data statistics operations.

[0022] In the above solution, optionally, the inventory module is used for:

[0023] Maintaining the inventory data of the retail cabinets, including the in-machine inventory and the recent inventory change data.

[0024] In the above solution, optionally, the sales module is used for:

[0025] Maintaining the sales data of the retail cabinets, including the sales volume and the sales index data.

[0026] In the above solution, optionally, the scheduling adjustment module is used for:

[0027] Recording the scheduling data of the system automatic scheduling and manual adjustment, and providing data support for subsequent optimization.

[0028] In the above solution, optionally, the price module is used for:

[0029] Maintaining the commodity price plan according to the region and category dimensions and taking effect after approval.

[0030] Optionally, in the above solution, the lane locking module is used to:

[0031] Lock a specific lane, and ensure that when the goods meet the locking requirements, they are displayed in a green box, otherwise a red box is displayed.

[0032] Compared with the prior art, the present application has at least the following beneficial effects:

[0033] Based on further analysis and research of the problems in the prior art, the present application recognizes the problems of low efficiency of manual operation, poor accuracy of goods arrangement, and insufficient real-time data feedback in the prior art. Through an intelligent and data-driven goods arrangement method, it can effectively solve the problems of low efficiency, poor accuracy of goods arrangement, and insufficient real-time data feedback mentioned in the background art. The traditional retail cabinet goods scheduling depends on manual operation, which is not only time-consuming but also prone to human errors, resulting in unsatisfactory goods arrangement effects, and further affecting the sales and inventory management of goods. The present invention caches key data such as inventory and sales of the retail cabinet in the memory, and combines real-time monitoring and intelligent adjustment mechanisms, so that the goods arrangement process no longer depends on manual judgment, but makes dynamic decisions based on the latest and most accurate data. The cached inventory and cached sales system enable the system to obtain inventory and sales data in real time, thus avoiding the problems of lagging inventory information and untimely reflection of sales situations, and greatly improving the accuracy and timeliness of goods arrangement decisions. The introduction of the AIOT system ensures accurate scheduling and rapid response of goods. Especially in the face of inventory fluctuations and sales changes, it can automatically generate the optimal schedule and adjust it in a timely manner, reducing manual intervention and improving operation efficiency and scheduling accuracy. In addition, through the visual goods arrangement system, users can intuitively view data such as the inventory and sales volume of goods, and adjust the schedule through simple operations, greatly simplifying the complex operations in the traditional goods arrangement process and enhancing the operation convenience and user experience. Therefore, the present invention solves the problems of low efficiency, poor accuracy, and many manual errors in the traditional retail cabinet goods arrangement through an intelligent goods arrangement method, optimizes the goods sales and inventory management, and provides a more efficient and accurate solution for the retail industry. Description of the Drawings

[0034] Figure 1 It is a block diagram of the module architecture of the retail cabinet visual goods arrangement system provided by an embodiment of the present application. Detailed Embodiment

[0035] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0036] In one embodiment, as Figure 1 shown, a retail cabinet visual goods arrangement system is provided, and the system includes:

[0037] A cache inventory system for caching inventory data in the retail cabinet into memory;

[0038] A cache sales system for caching sales data in the retail cabinet into memory;

[0039] An AIoT system for real-time monitoring of the inventory and sales data of the retail cabinet and real-time interaction with the cache inventory system and the cache sales system;

[0040] A visualization replenishment system, including: a basic information module, an inventory module, a sales module, a scheduling adjustment module, a price module, and a lane locking module.

[0041] The visualization replenishment system of the retail cabinet of the present invention adopts a replenishment method based on real-time data feedback and intelligent decision-making. The system caches multi-dimensional data such as the inventory, sales, and price of the retail cabinet, and realizes the intelligent and dynamic adjustment of the product schedule through a real-time monitoring and feedback mechanism. The specific implementation method is as follows:

[0042] The cache inventory system is used to cache the inventory data in the retail cabinet into memory, thereby improving the speed and processing efficiency of data reading. This module includes an inventory module and an inventory change record module. The inventory module monitors the inventory status of each product in real time by docking data with each product in the retail cabinet, and caches this data into memory to ensure the immediate update and quick access of the inventory data. The inventory change record module is responsible for recording the inventory change data of each product in the retail cabinet for subsequent trend analysis and adjustment. This system can ensure that the inventory information remains up-to-date and accurate when the user performs a replenishment operation.

[0043] The cache sales system is responsible for caching the sales data of the retail cabinet into memory in real time. It includes a sales record module and a sales indicator data module. The sales record module stores the sales order data of each retail cabinet, including information such as the quantity of goods sold and the order status, while the sales indicator data module calculates and stores the sales indicators of each retail cabinet in different time periods (such as the sales volume in the past 7 days and the past 14 days) based on historical sales data. The design of this module can reflect the sales dynamics of products in real time, help users understand the sales trends of products in a timely manner, and thus provide effective data support for replenishment decisions.

[0044] The AIoT system ensures real-time feedback and intelligent adjustment in the replenishment process by monitoring the inventory and sales data of the retail cabinets in real time. The system includes an order placement module and an order data upload module. The order placement module is responsible for receiving the user's replenishment instructions and accurately retrieving and placing the goods in the specified lanes through hardware devices. The order data upload module ensures that after each sales order is completed, the system will upload the sales data to the cached sales system in a timely manner. Even when the network environment is unstable, the order data can be updated in a timely manner after the network is restored.

[0045] The visual replenishment system is the core part of the entire system, including a basic information module, an inventory module, a sales module, a scheduling adjustment module, a price module, and a lane locking module. The basic information module is responsible for maintaining the basic information of the retail cabinet locations, such as the location of goods, regional distribution, etc., in order to support functions such as scheduling operations, inventory management, and data statistics. The inventory module provides inventory data management, the sales module is responsible for displaying the sales situation of goods, and the scheduling adjustment module records the data of the system's automatic scheduling and manual scheduling adjustments. The price module allows users to set commodity prices according to "region" and "category" and conduct approvals. The lane locking module ensures the accuracy of the goods' scheduling by locking specific lanes and avoiding misoperations.

[0046] This embodiment can effectively solve the problems mentioned in the background technology and has the following technical effects:

[0047] The traditional replenishment process of retail cabinets relies on manual modification of the on-shelf and off-shelf status of goods and lane numbers. This is not only time-consuming and laborious but also prone to human operation errors. Through the visual replenishment system, the present invention can display key data such as inventory, sales, and price in real time and automatically adjust the scheduling according to the changes in the data. Through intelligent scheduling decisions, the system can automatically generate a scheduling list, greatly reducing the need for manual intervention and thus significantly improving the replenishment efficiency.

[0048] Since the present invention adopts a real-time data monitoring and feedback mechanism, it can capture the changes in commodity inventory and sales in a timely manner, ensuring that decisions are made based on the latest data during the replenishment process, thereby avoiding replenishment errors caused by information lag or operation errors in traditional manual operations. Especially in the case of rapid inventory changes or large sales fluctuations, the present invention ensures more accurate replenishment decisions through intelligent decision-making and data interaction.

[0049] Traditional scheduling systems usually make scheduling decisions based on static product data and are difficult to respond to market demand changes and inventory fluctuations in real time. By introducing a cache inventory system and a cache sales system, the present invention can achieve real-time monitoring of the inventory and sales conditions of products in retail cabinets. The system can dynamically adjust the schedule and provide real-time feedback. This dynamic schedule adjustment based on real-time data can flexibly adjust the scheduling strategy according to sales trends, inventory levels, and other key factors, thereby improving the timeliness and accuracy of scheduling decisions.

[0050] Through the intelligent scheduling decision-making module and historical data analysis, the present invention can automatically generate the optimal scheduling plan for a large number of products based on multi-dimensional information such as real-time data and historical sales trends. The system can provide customized scheduling solutions for each product based on different sales indicators, inventory data, and the sales history of the product, further optimizing the scheduling decision and avoiding the limitations of relying solely on experience and manual judgment in traditional systems.

[0051] Traditional inventory management methods mostly rely on manual monitoring and adjustment, which easily leads to inventory backlogs or out-of-stock situations. The present invention dynamically adjusts by real-time monitoring the inventory of products in retail cabinets and combining sales data, ensuring that the positions and schedules of products in the lanes meet the actual needs, avoiding excessive inventory or sales interruptions, and improving the turnover rate of products.

[0052] The present invention provides a graphical and interactive visual scheduling system. Users can intuitively view the scheduling information of products and can make adjustments through simple drag-and-drop operations. This operation method greatly simplifies the cumbersome operations in the traditional scheduling process. Users only need to focus on important sales and inventory data, and the system automatically updates the data and adjusts the schedule, greatly improving the user experience and operation convenience.

[0053] In summary, this embodiment solves the problems of low efficiency, poor accuracy, and insufficient real-time feedback in traditional scheduling systems through innovative technical solutions, not only improving work efficiency, but also optimizing inventory and sales management, and enhancing the overall business response speed and accuracy.

[0054] In this embodiment, the cache inventory system includes:

[0055] An inventory module for storing the inventory data of each retail cabinet;

[0056] An inventory change record module for storing the transaction data of the inventory changes of products in each retail cabinet.

[0057] The cache inventory system is one of the core components of the present invention, aiming to solve the problems of lagging inventory data update and untimely data acquisition in traditional scheduling methods. The implementation of this system includes two main modules: the inventory module and the inventory change record module.

[0058] The inventory module is responsible for storing the inventory information of each commodity in the retail cabinet into the system memory. By docking with the hardware devices of the retail cabinet, the inventory module can obtain the in-machine inventory (i.e., the currently available inventory) data of each commodity in real time and cache it in the memory. By storing the inventory data in the memory, the system can quickly respond to the goods allocation operation, avoiding the delay caused by reading a large amount of data from the database. In the specific implementation, the inventory module is closely connected to the sensors and scanning system in the retail cabinet to ensure the real-time update of the inventory data.

[0059] The inventory change record module is used to record the inventory change details of each commodity in the retail cabinet in real time. These change data include the incoming goods, outgoing goods, inventory transfer, etc. of the commodity. All these data will be automatically recorded and archived by the system. These records provide valuable reference data for subsequent inventory management and sales forecasting, and can be used as a diagnostic basis when the system has an exception. In the implementation, the inventory change record module cooperates closely with the inventory module to ensure that the inventory data changes are reflected in the system in a timely and accurate manner.

[0060] The cached inventory system solves the problems of lagging inventory update and slow data access in the traditional retail cabinet goods allocation system by caching the inventory data in the memory in real time, providing a more efficient inventory management solution. First of all, by obtaining the inventory data of the commodity in real time, the system can ensure that the data used in each goods allocation operation is the latest, avoiding the goods allocation errors caused by manual operation or data delay in the traditional method. In addition, the introduction of the inventory change record module not only ensures the accuracy of the inventory data, but also can provide detailed inventory change history data, which has important reference value for inventory optimization, commodity scheduling and sales strategy adjustment. With real-time and accurate data support, the cached inventory system greatly improves the accuracy and response speed of the goods allocation decision-making, enhancing the overall operation efficiency of the retail cabinet.

[0061] In this embodiment, the cached sales system includes:

[0062] A sales record module, which is used to store the sales order data of each retail cabinet;

[0063] A sales indicator data module, which is used to calculate and store the sales data of each retail cabinet in different time periods.

[0064] The cached sales system is another key module of the present invention, aiming to solve the problems of lagging sales data and unclear sales trends in the traditional goods allocation method. The system includes a sales record module and a sales indicator data module.

[0065] The sales record module is used to record the sales order data of each retail cabinet in real time, covering information such as the quantity of goods sold, the sales time, and the order status. This data comes from the behavior of consumers placing orders through the retail cabinet and is uploaded to the system in real time after the order is completed. By closely connecting with the retail cabinet hardware system and the order management system, the sales record module can efficiently collect and process order information. This data can reflect the actual sales situation of the goods and provide data support for inventory replenishment decisions.

[0066] The sales indicator data module calculates and stores the sales indicators of each retail cabinet within different time periods (such as the past 7 days, the past 14 days, etc.) based on historical sales data and trend analysis. Sales indicators can include the average daily sales volume, the sales peak, the sales growth rate, etc., helping users comprehensively understand the sales dynamics of the goods and make more accurate inventory replenishment decisions according to different indicators. Through intelligent data processing, the sales indicator data module can predict the sales trend and provide reference data for future sales to users.

[0067] The cache sales system can solve the problems of lagging sales data and inaccurate decision-making in traditional inventory replenishment systems by collecting sales order data in real time and conducting intelligent analysis. The implementation of the sales record module keeps the sales data always up-to-date, ensuring that inventory replenishment operations are based on the most accurate sales information, thus avoiding errors that may be caused by manual statistics and delayed data updates. In addition, the sales indicator data module can provide trend predictions based on historical sales data, making inventory replenishment decisions more scientific and reasonable, improving the efficiency of inventory replenishment and the accuracy of sales forecasts. Through this system, the sales situation of the goods in the retail cabinet is comprehensively monitored and analyzed, further improving the quality of inventory replenishment decisions.

[0068] In this embodiment, the AIoT system includes:

[0069] An order placement module, which is used to drive the hardware to pick up goods from the correct cargo lane after the user places an order;

[0070] An order data upload module, which is used to upload the order data to the cache sales system in a timely manner after the order is successfully placed.

[0071] The AIoT system is an important part of the present invention, responsible for real-time monitoring of the inventory and sales data of the retail cabinet and conducting data interaction with the cache inventory system and the cache sales system. This system includes an order placement module and an order data upload module.

[0072] The order placement module receives the goods sorting instruction through the user interface. After the user places an order, it drives the hardware to the correct goods lane to pick up the goods and places the goods into the hopper for the user to pick up. The order placement module is connected to the hardware system of the retail cabinet to ensure that each order can be accurately executed. When implemented, the order placement module not only needs to ensure the accuracy of order execution, but also consider the layout of the goods lanes and the storage locations of the goods to ensure that the goods are delivered to the customers in a timely and accurate manner.

[0073] The order data upload module ensures that after each order is completed, the relevant sales data will be uploaded to the cached sales system in a timely manner. If a network exception occurs during the upload process, the order data will be automatically uploaded after the network returns to normal. The design of this module enables the seamless synchronization of sales data to ensure the real-time update of inventory and sales data.

[0074] The AIoT system improves the intelligence and automation level of the goods sorting operation through real-time order processing and data upload functions. The precise execution of the order placement module avoids manual intervention, reduces operation errors, and ensures that each goods sorting instruction can be correctly executed. The order data upload module ensures the timely upload and synchronization of order data, avoids data lag and omission, and improves the real-time performance of the system and the accuracy of the data. In addition, the AIoT system can dynamically adjust the goods sorting strategy by real-time monitoring of inventory and sales data, so as to better adapt to the changes in market demand and optimize the commodity circulation and inventory management.

[0075] In this embodiment, the basic information module of the visual goods sorting system is used for:

[0076] Maintaining the location information of the retail cabinet to support sales, scheduling, inventory and data statistics operations.

[0077] The basic information module in the visual goods sorting system is mainly responsible for maintaining the basic information of the retail cabinet locations. This information includes the placement locations of the goods, regional distribution, goods lane numbers, shelf levels, etc. Through this module, all the goods information of the retail cabinet can be effectively managed and quickly accessed, ensuring that the goods sorting decision can be based on the most accurate basic data. This module can be seamlessly docked with the hardware system of the retail cabinet to accurately record and store the goods information through scanning and automatic identification devices.

[0078] The implementation of the basic information module ensures the accuracy and traceability of the goods information in the retail cabinet, avoiding goods sorting mistakes caused by incomplete or incorrect information. Through this module, the goods sorting personnel can easily access the detailed locations and classification information of each good, so as to make more accurate goods sorting decisions. The efficient management and rapid update functions of the module improve the response speed and accuracy of the entire goods sorting system, providing important data support for subsequent scheduling and inventory adjustment.

[0079] In this embodiment, the inventory module is used for:

[0080] Maintaining the inventory data of the retail cabinet, including the in-machine inventory and the recent inventory change data.

[0081] In this embodiment, the sales module is used for:

[0082] Maintaining the sales data of the retail cabinet, including the sales volume and the sales target data.

[0083] In this embodiment, the scheduling adjustment module is used for:

[0084] Recording the scheduling data of the system automatic scheduling and manual adjustment, and providing data support for subsequent optimization.

[0085] In this embodiment, the price module is used for:

[0086] Maintaining the commodity price plan according to the region and category dimensions, and taking effect after approval.

[0087] In this embodiment, the lane locking module is used for:

[0088] Locking specific lanes, ensuring that when the commodity meets the locking requirements, it is displayed through a green frame, otherwise a red frame is displayed.

[0089] In one embodiment, a visualization operation system is provided, which visually displays various types of data such as "lane data, commodities, inventory, price", etc. Users can manually drag and drop commodities to adjust the lane scheduling, and the system will also lock fixed lanes according to the default configuration to facilitate users to arrange goods more accurately and improve work efficiency.

[0090] For the general retail cabinet commodity scheduling, it is necessary to view comprehensive indicators such as the recent inventory and sales volume of commodities as the decision-making basis. The traditional commodity scheduling requires manual modification of the on-shelf and off-shelf status of commodities in the list, adjustment of the commodity lane number or level, and there are problems of "long time consumption, easy to make mistakes, and low efficiency".

[0091] This proposal realizes the adjustment of commodity scheduling in the retail cabinet in a visual way, improving the work efficiency of users.

[0092] The system aims to provide a visual way to improve the efficiency of users' arranging goods. To achieve the above purpose, the present invention provides the following system solutions, including:

[0093] Cache inventory system: Caching the inventory data in the retail cabinet into the memory to facilitate data retrieval.

[0094] Inventory module: Used to store the inventory data of each retail cabinet.

[0095] Inventory change record module: Users store the inventory flow change data of each commodity in each retail cabinet. Cache sales system: Cache the sales data in the retail cabinet into memory for convenient data retrieval.

[0096] Sales record module: Used to store the sales order data of each retail cabinet.

[0097] Sales indicator data: Used to calculate and store data of different indicators such as the past 7 days and the past 14 days for each retail cabinet.

[0098] AIOT system: Used to monitor the inventory sales data of retail cabinets in real time, track the sales order data in real time, and interact with the cached inventory system and the cached sales system in real time.

[0099] Order placement module: After the user places an order on the interface, it drives the hardware to pick up the commodity from the correct lane and place it in the hopper for the user to pick up.

[0100] Order data upload module: After the user places an order successfully, it uploads the order data to the

Cache sales system

[0101] The visual inventory arrangement system includes:

[0102] Basic information module: Used to maintain the basic information of the location, serving sales business, scheduling business, inventory business, and data statistics.

[0103] Inventory module: Used to maintain the inventory data within the location, including in-machine inventory and recent inventory change data.

[0104] Sales module: Used to maintain the sales data within the location, including sales volume, sales indicators such as: average daily sales volume in the past 7 days, average daily sales volume in the past 14 days.

[0105] Scheduling adjustment module: Used to record the data of automatic scheduling and manual scheduling adjustment of the system, providing data support for subsequent scheduling optimization.

[0106] Price module: Used to maintain the commodity price plan. Users can maintain data according to the dimensions of "region, category", and it will take effect after being approved.

[0107] Lane locking module: If the first layer is locked, check whether the commodities on the first layer meet the locking requirements. If they meet, they will be displayed in a green frame, otherwise in a red frame.

[0108] Generate scheduling: Intelligently monitor and capture various business data (inventory, sales, etc.) of retail cabinets, and generate a scheduling list in combination with thresholds.

[0109] Adjust scheduling: Capture the current inventory, lane number, sales indicators, etc. of each commodity for the user's comprehensive decision-making.

[0110] Lock the schedule: Automatically lock if the current time has exceeded the scheduled date, and manual adjustment is not allowed. Issue the schedule: Automatically issue the locked schedule list at the early morning of the day after the scheduled date.

[0111] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

Claims

1. A retail cabinet visual arrangement system, characterized in that: The system comprises: A cache inventory system for caching inventory data in retail cabinets into memory; A cache sales system for caching sales data in retail cabinets into memory; AIOT system, which is used to monitor the inventory and sales data of retail cabinets in real time and interact with the cache inventory system and cache sales system in real time; The visual scheduling system includes: basic information module, inventory module, sales module, scheduling adjustment module, price module, and channel locking module.

2. The retail cabinet visual arrangement system according to claim 1, characterized in that: The cache inventory system comprises: Inventory module, used to store inventory data of each retail cabinet; The inventory change record module is used to store the flow data of commodity inventory changes in each retail counter.

3. The retail cabinet visual arrangement system according to claim 1, characterized in that: The cache sales system comprises: Sales record module, used to store sales order data of each retail counter; The sales index data module is used to calculate and store the sales data of each retail counter in different time periods.

4. The retail cabinet visual arrangement system according to claim 1, characterized in that: The AIOT system includes: The order module is used to drive the hardware to the correct aisle to pick up the goods after the user places an order; The order data upload module is used to upload the order data to the cache sales system in a timely manner after the order is successfully placed.

5. The retail cabinet visual arrangement system according to claim 1, characterized in that: The basic information module of the visual arrangement system is used for: Maintain the location information of retail counters to support sales, scheduling, inventory and data statistics.

6. The retail cabinet visual arrangement system according to claim 1, characterized in that: The inventory module is used to: Maintain retail cabinet inventory data, including in-box inventory and recent inventory change data.

7. The retail cabinet visual arrangement system according to claim 1, characterized in that: The sales module is used to: Maintain sales data for retail counters, including sales volume and sales index data.

8. The retail cabinet visual arrangement system according to claim 1, characterized in that: The scheduling adjustment module is used for: Record the system's automatic scheduling and manually adjusted scheduling data, and provide data support for subsequent optimization.

9. The retail cabinet visual arrangement system according to claim 1, characterized in that: The price module is used to: Maintain commodity price plans by region and category, and make them effective after approval.

10. The retail cabinet visual arrangement system according to claim 1, characterized in that: The cargo lane locking module is used for: Lock a specific aisle and ensure that the products meet the locking requirements are displayed with a green box, otherwise a red box is displayed.

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