Intelligent inventory sorting system for warehouse

Abstract

The invention relates to the field of warehouse logistics, and discloses a warehouse intelligent inventory sorting system which comprises a data acquisition module, an analysis and judgment module, a classification and division module and a summary analysis module. The data acquisition module is used for acquiring basic information of inventory commodities in real time and capturing real-time state data of the commodities; the analysis and judgment module analyzes whether the inventory of the commodities is in a reasonable interval or not based on the information acquired by the data acquisition module, and judges the priority and the optimal path of a sorting task in combination with order data and commodity storage positions; the classification and division module is used for decomposing the whole sorting work into a plurality of sub-tasks and distributing the sub-tasks according to the load capacity of personnel or equipment; and the summary analysis module is used for combining the inventory data and the sorting records. The method has the following advantages and effects that manual judgment errors are reduced, the processing flow of abnormal commodities is standardized, the risk of warehouse management is reduced, the sorting efficiency is greatly improved, and invalid travel and time cost are reduced.

Description

Technical Field

[0001] This invention relates to the field of warehousing and logistics technology, and in particular to an intelligent warehouse inventory sorting system. Background Technology

[0002] In traditional warehousing and logistics management, inventory sorting systems often have many problems that urgently need to be solved.

[0003] From an inventory management perspective, the lack of accurate real-time data collection and analysis methods makes it difficult to accurately grasp the inventory status of goods. On the one hand, the lag in inventory information updates may lead to some goods being below the safety threshold without timely replenishment, causing stockout risks and affecting order fulfillment efficiency. On the other hand, there may be excessive inventory backlog without timely identification of slow-moving goods, resulting in wasted storage space and capital tied up, increasing operating costs.

[0004] Inefficiency is particularly prominent in the sorting process. Traditional sorting relies heavily on manual task prioritization, which can easily lead to delays in processing urgent orders and failure to prioritize the shipment of near-expiry goods, impacting customer experience. Furthermore, due to a lack of scientific route planning, sorting personnel or equipment often need to travel across warehouse areas, increasing wasted travel and potentially extending sorting time due to unforeseen circumstances such as congestion. In addition, the overall sorting task lacks a reasonable breakdown and allocation mechanism, resulting in an uneven workload for personnel and equipment, with some resources idle while others are overloaded, severely hindering the improvement of sorting efficiency.

[0005] In terms of safety management, insufficient monitoring of product safety parameters makes it difficult to quickly identify products with potential safety hazards, which may lead to substandard products entering the market, harming consumer rights and corporate reputation. Moreover, when abnormal product safety parameters are detected, the lack of standardized handling procedures makes it easy for subjective human intervention to lead to misjudgments or untimely responses, increasing management risks.

[0006] Therefore, an intelligent warehouse inventory sorting system needs to be designed to solve the above problems. Summary of the Invention

[0007] The purpose of this invention is to provide an intelligent warehouse inventory sorting system to solve the above-mentioned problems.

[0008] The above-mentioned technical objective of the present invention is achieved through the following technical solution: an intelligent warehouse inventory sorting system, comprising: a data acquisition module, an analysis and judgment module, a classification and division module, and a summary and analysis module;

[0009] The data acquisition module is used to collect basic information about inventory goods in real time and capture real-time status data of the goods;

[0010] The analysis and judgment module analyzes whether the inventory of goods is within a reasonable range based on the information obtained by the data acquisition module, and determines the priority and optimal path of the sorting task by combining order data and the storage location of goods.

[0011] The classification module is used to break down the overall sorting work into multiple sub-tasks and allocate them according to the load capacity of personnel or equipment;

[0012] The summary and analysis module is used to combine inventory data and sorting records to analyze the turnover rate of goods and summarize the characteristics of best-selling and slow-moving goods.

[0013] A further provision of the present invention is that the data acquisition module specifically includes the following operations:

[0014] Collect basic information on inventory goods in real time, including product name, specifications, production batch, warehousing time, shelf life, and current storage location, to form a product information database;

[0015] Collect product safety parameters to establish a product safety coefficient, compare the product safety coefficient with the product safety coefficient threshold, and generate a high safety signal or a low safety signal based on the judgment result.

[0016] A further feature of this invention is that: for products with high security signals, they are given priority to be included in the regular sorting sequence. During subsequent outbound scheduling, such products are sorted according to the normal process, and their security parameters are periodically reviewed.

[0017] For products that generate a low security signal, the system immediately triggers an early warning mechanism, displays early warning information on the warehouse management terminal, including product name, specifications, storage location and specific abnormal security parameters, automatically marks the product as pending re-inspection, and suspends its outbound sorting process;

[0018] If a product is found to have safety hazards after re-inspection, the system will automatically classify it into the non-conforming product area according to preset rules. If the re-inspection finds that the misjudgment was caused by parameter acquisition error, the product safety parameters will be corrected, the safety coefficient will be recalculated, the signal status will be updated, and its normal sorting qualification will be restored.

[0019] A further provision of the present invention is that the analysis and judgment module specifically includes the following:

[0020] A reasonable range model is constructed by taking historical sales, current inventory, in-transit purchases and safety stock thresholds, and then compared with the real-time inventory positioning status.

[0021] If the stock falls below the lower limit, an emergency replenishment is triggered, the shortage is calculated, and a purchase order is generated.

[0022] A stable inventory report is generated when the range is in effect.

[0023] If the inventory exceeds the upper limit, an unsold inventory analysis will be initiated, promotional plans will be pushed out, and priority will be given to the inventory clearance channel.

[0024] A further feature of this invention is that urgent orders are given priority and are all included in the sorting sequence.

[0025] For regular orders, if the goods are stored in the same area or adjacent locations, they will be combined into a single priority task for centralized processing.

[0026] For goods that need to be shipped out as soon as possible, increase their sorting priority to ensure delivery is completed within the shelf life;

[0027] For product orders that are stored in scattered locations and do not have special time requirements, they are sorted in the order of receipt and processed as low-priority tasks.

[0028] A further feature of this invention is that, based on the commodity storage coordinates, a path is planned with the sorting starting point as the origin, prioritizing the avoidance of congested channels, and multi-item orders are clustered by region to reduce cross-regional travel;

[0029] Real-time monitoring during sorting; recalculation of paths and updates of guidance when encountering channel blockages or changes in cargo location; conversion of paths into 3D visualization maps with node information annotations to assist operations.

[0030] A further provision of the present invention is that the classification and division module specifically includes the following:

[0031] Based on product category, order area and sorting difficulty, the overall sorting work is broken down into several independent sub-tasks. Each sub-task includes a clear product list, target sorting area and completion criteria.

[0032] Real-time data collection of the current load of personnel or equipment, combined with the workload of subtasks, assigns subtasks to objects with sufficient load margin.

[0033] A further feature of this invention is: continuously monitoring the execution progress of subtasks and changes in personnel and equipment load; if the load of a certain object is too high or too low, automatically transferring some subtasks to the load balancing object, while prioritizing the resource allocation of high-priority subtasks.

[0034] A further provision of the present invention is that the summary and analysis module specifically includes the following:

[0035] Integrate inventory data and sorting records, calculate product turnover days, and classify products into three categories—fast turnover, medium turnover, and slow turnover—based on turnover speed, clarifying the proportion and changing trends of each category.

[0036] For best-selling products, extract their common characteristics; for slow-moving products, analyze their characteristics, form a list of characteristics, and mark key influencing factors.

[0037] A further feature of this invention is that the analysis results are transformed into inventory management suggestions, optimizing inventory warning thresholds and prioritizing the allocation of warehouse space for best-selling products;

[0038] Develop promotional strategies and adjust purchase volumes for slow-moving goods;

[0039] Generate periodic analysis reports to help optimize sorting path planning and product placement.

[0040] The beneficial effects of this invention are:

[0041] 1. This invention establishes a product safety coefficient and divides signals to prioritize the rapid entry of high-safety goods into the regular sorting sequence. Simultaneously, it triggers an early warning mechanism for low-safety goods, suspending their outbound process and requiring re-inspection. This effectively prevents substandard goods from entering the market, protecting product quality and consumer rights, reducing human error, standardizing the handling process for abnormal goods, and lowering warehouse management risks. Scientific judgment based on order type, product storage location, and other factors prioritizes urgent orders, merges regular orders in the same area, and prioritizes near-expiry goods. Simultaneously, it plans the optimal path and adjusts it in real time. Combined with a 3D visualization map, this significantly improves sorting efficiency and reduces unnecessary travel and time costs.

[0042] 2. This invention breaks down work into independent sub-tasks based on factors such as product category and order region. Each sub-task has a clear objective. Tasks are allocated based on the real-time load of personnel and equipment, and load changes are continuously monitored to dynamically adjust sub-tasks, ensuring balanced resource load and prioritizing the completion of high-priority tasks. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a schematic diagram of the structure of an intelligent warehouse inventory sorting system proposed in this invention. Detailed Implementation

[0045] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation", "connection", and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal connection of two components. For those skilled in the art, the specific meaning of the above terms in this invention can be understood through the specific circumstances.

[0046] The technical solution of the present invention will now be clearly and completely described with reference to specific embodiments. Obviously, the described embodiments are merely some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0047] See Figure 1 This invention provides an intelligent warehouse inventory sorting system, comprising: a data acquisition module, an analysis and judgment module, a classification and division module, and a summary and analysis module;

[0048] The data acquisition module is used to collect basic information about inventory goods in real time and capture real-time status data of the goods;

[0049] The analysis and judgment module analyzes whether the inventory of goods is within a reasonable range based on the information obtained by the data acquisition module, and determines the priority and optimal path of the sorting task by combining order data and the storage location of goods.

[0050] The classification module is used to break down the overall sorting work into multiple sub-tasks and allocate them according to the load capacity of personnel or equipment;

[0051] The summary and analysis module is used to combine inventory data and sorting records to analyze the turnover rate of goods and summarize the characteristics of best-selling and slow-moving goods.

[0052] Specifically, the data acquisition module operates as follows:

[0053] Collect basic information on inventory goods in real time, including product name, specifications, production batch, warehousing time, shelf life, and current storage location, to form a product information database;

[0054] Collect product safety parameters to establish a product safety coefficient, compare the product safety coefficient with the product safety coefficient threshold, and generate a high safety signal or a low safety signal based on the judgment result.

[0055] For products with high security signals, they are given priority to be included in the regular sorting sequence. During subsequent outbound scheduling, these products are sorted according to the normal process, and their security parameters are reviewed periodically.

[0056] For products that generate a low security signal, the system immediately triggers an early warning mechanism, displays early warning information on the warehouse management terminal, including product name, specifications, storage location and specific abnormal security parameters, automatically marks the product as pending re-inspection, and suspends its outbound sorting process;

[0057] If a product is found to have safety hazards after re-inspection, the system will automatically classify it into the non-conforming product area according to preset rules. If the re-inspection finds that the misjudgment was caused by parameter acquisition error, the product safety parameters will be corrected, the safety coefficient will be recalculated, the signal status will be updated, and its normal sorting qualification will be restored.

[0058] It can accurately grasp basic product information, providing reliable data support for inventory management and sorting operations, and ensuring accurate and traceable information at each stage; through safety parameter monitoring and signal division, it prioritizes the rapid flow of high-safety products while promptly intercepting products with potential safety hazards, preventing substandard products from entering the market, and protecting product quality and consumer rights; the early warning, re-inspection, and classification mechanism for products with low safety signals can reduce human judgment errors, standardize the handling process of abnormal products, and reduce management risks; regular review of safety parameters and correction of misjudgment settings, and dynamic optimization of product safety status assessment, not only ensure the rigor of safety management, but also avoid the impact of misjudgment on the sorting efficiency of normal products, thus improving the scientific and efficient nature of warehouse inventory management and sorting operations.

[0059] Specifically, the analysis and judgment module includes the following operations:

[0060] A reasonable range model is constructed by taking historical sales, current inventory, in-transit purchases and safety stock thresholds, and then compared with the real-time inventory positioning status.

[0061] If the stock falls below the lower limit, an emergency replenishment is triggered, the shortage is calculated, and a purchase order is generated.

[0062] A stable inventory report is generated when the range is in effect.

[0063] If the inventory exceeds the upper limit, an unsold inventory analysis will be initiated, promotional plans will be pushed out, and priority will be given to the inventory clearance channel.

[0064] Urgent orders are given priority and are included in the sorting sequence first.

[0065] For regular orders, if the goods are stored in the same area or adjacent locations, they will be combined into a single priority task for centralized processing.

[0066] For goods that need to be shipped out as soon as possible, increase their sorting priority to ensure delivery is completed within the shelf life;

[0067] For product orders that are stored in scattered locations and do not have special time requirements, they are sorted in the order of receipt and processed as low-priority tasks.

[0068] Based on the product storage coordinates, the route is planned with the sorting start point as the origin, prioritizing the avoidance of congested channels, and multi-item orders are clustered by region to reduce cross-regional travel;

[0069] Real-time monitoring during sorting; recalculation of paths and updates of guidance when encountering channel blockages or changes in cargo location; conversion of paths into 3D visualization maps with node information annotations to assist operations.

[0070] By constructing a reasonable inventory range model, the inventory status of goods can be accurately grasped, avoiding the risk of stockouts due to insufficient inventory and reducing resource waste caused by inventory backlog, thus achieving dynamic inventory balance. Sorting priorities are divided based on order type, product characteristics, and storage location to ensure rapid processing of urgent orders. At the same time, sorting efficiency is improved and ineffective operations are reduced by centrally processing regular orders in the same area and prioritizing near-expiry products. Scientifically planning and adjusting the optimal path in real time shortens sorting distances and reduces the frequency of cross-regional trips. Combined with 3D visualization map guidance, this further enhances the convenience and accuracy of sorting operations, reducing time costs. The overall process achieves intelligent linkage between inventory management and sorting operations, effectively improving the overall efficiency and refined management level of warehouse operations.

[0071] Specifically, the classification and segmentation module includes the following operations:

[0072] Based on product category, order area and sorting difficulty, the overall sorting work is broken down into several independent sub-tasks. Each sub-task includes a clear product list, target sorting area and completion criteria.

[0073] Real-time data collection of the current load of personnel or equipment, combined with the workload of subtasks, assigns subtasks to objects with sufficient load margin.

[0074] Continuously monitor the execution progress of subtasks and changes in personnel and equipment load. If the load of a certain object is too high or too low, automatically transfer some subtasks to the load balancing object, while prioritizing the resource allocation of high-priority subtasks.

[0075] By breaking down tasks into sub-tasks based on product category, order area, and sorting difficulty, each task has clear objectives and defined standards, facilitating precise execution by personnel or equipment, reducing operational chaos, and improving sorting standardization. Real-time load allocation of personnel and equipment avoids resource idleness or overload, achieving efficient utilization of human and machine resources and reducing operating costs. Continuous monitoring and dynamic adjustment of sub-task allocation ensures timely load balancing, guaranteeing high-priority tasks are completed first, ensuring a smooth overall sorting process, reducing task backlog, and further improving warehouse sorting efficiency and flexibility.

[0076] Specifically, the summary and analysis module includes the following operations:

[0077] Integrate inventory data and sorting records, calculate product turnover days, and classify products into three categories—fast turnover, medium turnover, and slow turnover—based on turnover speed, clarifying the proportion and changing trends of each category.

[0078] For best-selling products, extract their common characteristics; for slow-moving products, analyze their characteristics, form a list of characteristics, and mark key influencing factors.

[0079] Transform the analysis results into inventory management recommendations, optimize inventory warning thresholds for best-selling products, and prioritize the allocation of warehouse space.

[0080] Develop promotional strategies and adjust purchase volumes for slow-moving goods;

[0081] Generate periodic analysis reports to help optimize sorting path planning and product placement.

[0082] By calculating turnover days and classifying turnover types, we can clearly understand the efficiency of merchandise circulation, providing data for inventory control, avoiding stockouts of best-selling products and stockpiling of slow-moving products, and optimizing inventory structure. Extracting the characteristics of best-selling and slow-moving products helps to accurately grasp market demand and provides direction for adjusting procurement and sales strategies. Transforming the analysis results into specific management suggestions, such as optimizing inventory warnings and developing promotional strategies, can effectively improve the pertinence of inventory management. Periodic reports assist in optimizing sorting paths and merchandise layout, further improving sorting efficiency and reducing warehousing costs.

[0083] The present invention provides a detailed description of an intelligent warehouse inventory sorting system. Specific embodiments have been used to illustrate the principles and implementation methods of the invention. These embodiments are merely illustrative and are intended to aid in understanding the method and core concepts of the invention. It should be noted that those skilled in the art can make various improvements and modifications to the invention without departing from its principles, and these improvements and modifications also fall within the scope of protection of the claims.

Claims

1. A warehouse intelligent inventory sorting system, characterized in that, include: Data acquisition module, analysis and judgment module, classification and division module, summary and analysis module; The data acquisition module is used to collect basic information about inventory goods in real time and capture real-time status data of the goods; The analysis and judgment module analyzes whether the inventory of goods is within a reasonable range based on the information obtained by the data acquisition module, and determines the priority and optimal path of the sorting task by combining order data and the storage location of goods. The classification module is used to break down the overall sorting work into multiple sub-tasks and allocate them according to the load capacity of personnel or equipment; The summary and analysis module is used to combine inventory data and sorting records to analyze the turnover rate of goods and summarize the characteristics of best-selling and slow-moving goods.

2. The intelligent warehouse inventory sorting system according to claim 1, characterized in that, The data acquisition module operates specifically including the following: Collect basic information on inventory goods in real time, including product name, specifications, production batch, warehousing time, shelf life, and current storage location, to form a product information database; Collect product safety parameters to establish a product safety coefficient, compare the product safety coefficient with the product safety coefficient threshold, and generate a high safety signal or a low safety signal based on the judgment result.

3. The intelligent warehouse inventory sorting system according to claim 2, characterized in that, For products with high security signals, they are given priority to be included in the regular sorting sequence. During subsequent outbound scheduling, these products are sorted according to the normal process, and their security parameters are reviewed periodically. For products that generate a low security signal, the system immediately triggers an early warning mechanism, displays early warning information on the warehouse management terminal, including product name, specifications, storage location and specific abnormal security parameters, automatically marks the product as pending re-inspection, and suspends its outbound sorting process; If a product is found to have safety hazards after re-inspection, the system will automatically classify it into the non-conforming product area according to preset rules. If the re-inspection finds that the misjudgment was caused by parameter acquisition error, the product safety parameters will be corrected, the safety coefficient will be recalculated, the signal status will be updated, and its normal sorting qualification will be restored.

4. The intelligent warehouse inventory sorting system according to claim 3, characterized in that, The analysis and judgment module specifically includes the following: A reasonable range model is constructed by taking historical sales, current inventory, in-transit purchases and safety stock thresholds, and then compared with the real-time inventory positioning status. If the stock falls below the lower limit, an emergency replenishment is triggered, the shortage is calculated, and a purchase order is generated. A stable inventory report is generated when the range is in effect. If the inventory exceeds the upper limit, an unsold inventory analysis will be initiated, promotional plans will be pushed out, and priority will be given to the inventory clearance channel.

5. The intelligent warehouse inventory sorting system according to claim 4, characterized in that, Urgent orders are given priority and are included in the sorting sequence first. For regular orders, if the goods are stored in the same area or adjacent locations, they will be combined into a single priority task for centralized processing. For goods that need to be shipped out as soon as possible, increase their sorting priority to ensure delivery is completed within the shelf life; For product orders that are stored in scattered locations and do not have special time requirements, they are sorted in the order of receipt and processed as low-priority tasks.

6. The intelligent warehouse inventory sorting system according to claim 5, characterized in that, Based on the product storage coordinates, the route is planned with the sorting start point as the origin, prioritizing the avoidance of congested channels, and multi-item orders are clustered by region to reduce cross-regional travel; Real-time monitoring during sorting; recalculation of paths and updates of guidance when encountering channel blockages or changes in cargo location; conversion of paths into 3D visualization maps with node information annotations to assist operations.

7. The intelligent warehouse inventory sorting system according to claim 6, characterized in that, The classification module specifically includes the following operations: Based on product category, order area and sorting difficulty, the overall sorting work is broken down into several independent sub-tasks. Each sub-task includes a clear product list, target sorting area and completion criteria. Real-time data collection of the current load of personnel or equipment, combined with the workload of subtasks, assigns subtasks to objects with sufficient load margin.

8. The intelligent warehouse inventory sorting system according to claim 7, characterized in that, Continuously monitor the execution progress of subtasks and changes in personnel and equipment load. If the load of a certain object is too high or too low, automatically transfer some subtasks to the load balancing object, while prioritizing the resource allocation of high-priority subtasks.

9. A warehouse intelligent inventory sorting system according to claim 8, characterized in that, The summary and analysis module specifically includes the following: Integrate inventory data and sorting records, calculate product turnover days, and classify products into three categories—fast turnover, medium turnover, and slow turnover—based on turnover speed, clarifying the proportion and changing trends of each category. For best-selling products, extract their common characteristics; for slow-moving products, analyze their characteristics, form a list of characteristics, and mark key influencing factors.

10. A warehouse intelligent inventory sorting system according to claim 9, characterized in that, Transform the analysis results into inventory management recommendations, optimize inventory warning thresholds for best-selling products, and prioritize the allocation of warehouse space. Develop promotional strategies and adjust purchase volumes for slow-moving goods; Generate periodic analysis reports to help optimize sorting path planning and product placement.

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