Multilayer inventory fine management method and system

Abstract

The invention relates to a multi-layer inventory fine management method and system, and relates to the technical field of inventory management, and the method comprises the steps: responding to an inventory request, and collecting inventory basic information; determining a logic level to which the inventory belongs according to the inventory basic information; performing hierarchy division on the order inventory according to the logic hierarchy, and collecting inventory data of each hierarchy of inventory; generating an inventory data graph and a financial data table according to the inventory data; and outputting a result report of multi-layer inventory management based on the inventory data graph and the financial data table, and matching a management method according to the result report to perform order inventory management. The method has the effect of realizing digital management so as to improve the processing efficiency.

Description

Technical Field

[0001] This invention relates to the technical field of inventory management, and in particular to a multi-layered refined inventory management method and system. Background Technology

[0002] Inventory management is a core component of a company's supply chain operations. Multi-layered inventory covers multiple stages, including procurement, warehousing, and distribution. Related management technologies are crucial for ensuring the efficient operation of inventory.

[0003] Currently, multi-level inventory management in the industry mostly adopts a hierarchical ledger recording model. Some companies use simple management systems to input inventory data and verify quantities at each level, and to statistically analyze inventory information by warehouse level and material category. They complete inbound and outbound registration and periodic inventory checks through a combination of manual and system methods to achieve inventory management.

[0004] Currently, order inventory management is uniformly treated as a single type without clear distinction of inventory status, resulting in the mixed management of stagnant inventory and turnover inventory. This makes it impossible to implement targeted differentiated control strategies and leads to low processing efficiency. Summary of the Invention

[0005] To achieve digital management and improve processing efficiency, this invention provides a multi-layered refined inventory management method and system.

[0006] In a first aspect, the present invention provides a multi-layered refined inventory management method, which adopts the following technical solution: A multi-tiered, refined inventory management method includes: In response to an inventory request, collect basic inventory information; Determine the logical level to which the inventory belongs based on basic inventory information; The order inventory is divided into hierarchical levels according to the logical hierarchy, and inventory data of each level is collected. Generate inventory data charts and financial data tables based on inventory data; Based on inventory data charts and financial data tables, output multi-level inventory management result reports, and match management methods according to the result reports to carry out order inventory management.

[0007] By adopting the above technical solution, after responding to inventory requests and collecting basic information, the system immediately locks the logical hierarchy. The hierarchy division gives clear ownership of order inventory, data charts and financial tables are generated synchronously, and the result reports directly drive the matching of management methods. Order inventory thus enters the digital track and improves processing efficiency.

[0008] Optionally, determining the logical level to which the inventory belongs includes: Collect business requirements and business scenario types; The parameters for dividing the inventory logical hierarchy are determined based on business needs and basic inventory information. The order inventory is divided into inventory levels based on the partitioning parameters and business scenario types; Match the corresponding inventory attribute parameters according to the inventory level; The matching degree of each inventory level is calculated based on the inventory attribute parameters and inventory level; The inventory level with the highest inventory matching degree is used as the logical level.

[0009] By adopting the above technical solutions, after collecting business needs and scenario types, the classification parameters are quickly quantified, the matching degree calculation transforms the level selection into numerical comparison, the inventory attribute parameters are accurately matched with the highest matching degree level, and the logical level determination process realizes data-driven decision-making, thereby improving management efficiency.

[0010] Optionally, the hierarchical division includes: Define the relationship between each business scenario and the inventory level; Extract the business attributes and product attributes of the inventory from the basic inventory information, configure the data according to the business attributes and product attributes, and obtain the business scenario information and scenario priority weight of the inventory in real time. Extract scenario feature parameters from business scenario information and calculate process adaptation score by combining scenario priority weights; When the process adaptation score is higher than the preset process adaptation threshold, the target management information for the current scenario is determined based on the inventory level and relationship. Based on business scenario information and target management information, issue corresponding process triggering instructions; Responding to trigger commands for control.

[0011] By adopting the above technical solution, business attributes and product attributes are extracted and process adaptation scores are calculated. If the score is higher than the process adaptation threshold, target management information is triggered. The combined effect of scenario feature parameters and priority weights enables automatic issuance of process instructions. The hierarchical division results are dynamically bound to the scenario, and inventory control achieves scenario-level adaptation.

[0012] Optionally, control measures in response to trigger commands include: The collection frequency is determined based on the type of business scenario, and the inventory data is detected and updated in real time according to the collection frequency to obtain standardized data. Multi-level inventory classification results are obtained based on logical hierarchy and standardized data; Develop inventory execution methods for each level based on the multi-level inventory classification results and results reports; Inventory inbound, outbound, and transfer operations are performed in accordance with inventory execution methods to match management methods and control inventory.

[0013] By adopting the above technical solution, standardized data is detected and updated at a certain frequency, and the final classification results are output. The multi-level inventory classification results are directly mapped to the inbound, outbound, and transfer strategies. The strategy execution is synchronized with the data charts and financial statements, and the entire inventory operation is online, reducing processing time.

[0014] Optionally, multi-level inventory classification results based on logical hierarchy and standardized data include: The classification parameters for inventory categories are determined based on the logical hierarchy; The classification parameters are quantized to obtain quantized values; Evaluation parameters are matched based on standardized data; A three-dimensional evaluation model is established based on quantitative values ​​and evaluation parameters; Standardized data is input into the three-dimensional evaluation model to calculate the comprehensive evaluation score of each inventory item; The inventory items corresponding to the comprehensive evaluation scores are divided into multi-level inventory classification results, which include high-priority inventory, medium-priority inventory, and low-priority inventory.

[0015] By adopting the above technical solution, the classification parameters are quantified and incorporated into the three-dimensional evaluation model. The classification results can be generated by comparing the comprehensive evaluation score with the hierarchical division threshold. The model transforms inventory items into calculable objects, and the classification results have numerical consistency. As a result, the multi-layered inventory structure obtains an scalable digital foundation.

[0016] Optionally, after obtaining the multi-level inventory classification results, the following can be included: If the multi-level inventory classification result is high-priority level inventory, then the business scenario complexity and safety stock benchmark are determined based on the comprehensive evaluation score. Historical supply disruption durations were extracted based on standardized data; The replenishment response timeliness level is determined based on the historical supply interruption duration. The replenishment response timeliness level includes Level 1 and Level 2. The frequency of real-time monitoring is determined based on the results of multi-level inventory classification and the complexity of business scenarios; The first-level and second-level early warning thresholds for inventory are determined based on the safety stock benchmark; Collect dynamic inventory data at a real-time monitoring frequency and update inventory data charts and financial data tables synchronously. If the dynamic data falls below the level 2 warning threshold, a replenishment order will be generated. If the replenishment response timeliness level is Level 1, the transfer distance is determined based on the replenishment instruction and the replenishment response timeliness level; The transfer inventory is determined within the range based on the transfer distance, and the transfer is carried out using the transfer inventory. If the dynamic data falls between the first-level and second-level warning thresholds, obtain the out-of-stock inventory. If the replenishment response timeliness level is Level 2, the inventory quota will be matched based on the out-of-stock inventory. Replenishment reminders are generated based on inventory quotas and replenishment response timeliness levels, and replenishment is carried out.

[0017] By adopting the above technical solution, at the high priority level, inventory triggers the first-level and second-level early warning thresholds. The real-time monitoring frequency is linked to the replenishment response time level. Replenishment instructions and inventory transfers are generated synchronously. When the dynamic data is lower than the threshold, cross-warehouse transfers are initiated to achieve rapid response and early warning of stockout risks.

[0018] Optionally, after obtaining the multi-level inventory classification results, the following may also be included: If the multi-level inventory classification result is medium priority level inventory, the replenishment batch calculation baseline is determined based on the comprehensive evaluation score, demand fluctuations are collected, and a tolerance threshold for demand fluctuations is set. Inventory turnover rate is determined based on standardized data; Set the turnover optimization cycle based on inventory turnover rate; Determine the optimal replenishment quantity based on inventory data and a baseline for calculating replenishment batch size; Calculate inventory turnover efficiency according to the turnover optimization cycle, and compare to determine the adjustment direction and inventory digestion. Calculate the inventory digestion cycle based on the turnover optimization cycle and inventory digestion rate; The replenishment interval is determined based on the inventory digestion cycle and adjustment direction; When demand fluctuations exceed the tolerance threshold, replenishment is carried out at replenishment intervals and with the optimal replenishment quantity.

[0019] By adopting the above technical solutions, at the medium priority level, the optimization cycle is set according to the inventory turnover rate. The tolerance range of demand fluctuations is calculated in conjunction with the optimal replenishment quantity. The replenishment interval is automatically adjusted by the inventory digestion speed. The replenishment quantity and turnover target are compared in real time to keep the inventory funds in the optimal range and make the turnover efficiency continuously approach the ideal state.

[0020] Optionally, after obtaining the multi-level inventory classification results, the following may also be included: If the multi-level inventory classification result is low-priority inventory, the inventory clearance trigger cycle is determined based on the comprehensive evaluation score; Based on standardized data, the age of inventory is determined to set the proportion of warehousing costs, and the value of slow-moving inventory is statistically determined. When the inventory age reaches the preset cleanup trigger cycle, the inventory status is detected and the percentage of inventory whose age exceeds the preset inventory age threshold is calculated. When the inventory ratio exceeds the warehousing cost ratio, if the value of unsold inventory is greater than the preset unsold threshold, the transfer cost for cross-level transfer will be calculated. If the transfer cost is not greater than the preset transfer cost threshold, the inventory will be allocated to the medium priority level and the high priority level first. If the value of slow-moving inventory is not greater than the preset slow-moving threshold or the transfer cost is greater than the preset transfer cost threshold, the inventory clearance process will be initiated based on the value of slow-moving inventory and the reserved inventory for orders will be collected. Based on the reserved inventory for orders, the amount of funds recovered and the costs of clearing up are statistically analyzed to calculate the efficiency of fund recovery and the benefits of clearing up. If the capital recovery efficiency is lower than the preset capital recovery target, the tiered price reduction coefficient will be determined based on the cleanup efficiency. Adjustment information is determined and output using tiered price reduction coefficients for adjustment.

[0021] By adopting the above technical solution, when the inventory reaches the clearance time at the low priority level, the slow-moving goods are immediately counted. Taking into account warehousing costs and cross-level transfer costs, the slow-moving inventory value is preferentially allocated to more important levels. If the capital recovery efficiency is lower than the capital recovery target, the system will automatically start a tiered price reduction strategy, thereby flexibly managing inventory.

[0022] Optionally, inventory control includes: The dynamic data is compared with the preset benchmark data values ​​to determine the degree of deviation; When the deviation exceeds the preset deviation threshold, the deviation parameter is matched according to the degree of deviation; The adjustment score is calculated based on the deviation parameter; The actual achieved values ​​for each indicator are calculated based on the adjusted scores. The actual achieved value is compared with the preset target value, and the indicator achievement rate is calculated. If the achievement rate of all indicators is higher than the preset threshold, the current inventory management method will be maintained. If the achievement rate of all indicators is not higher than the preset threshold, then inventory control will be carried out according to the deviation parameters and inventory execution methods.

[0023] By adopting the above technical solution, when the deviation between dynamic data and benchmark data exceeds the threshold, cause matching is triggered. The parameters of the inventory execution method are automatically corrected according to the deviation parameters, and a closed-loop evaluation is formed after comparing the indicator achievement rate with the target value.

[0024] Secondly, this application provides a multi-layered refined inventory management system, which adopts the following technical solution: A multi-tiered, refined inventory management system includes: The acquisition module is used to acquire basic inventory information and inventory data; Memory, used to store programs that implement any multi-level refined inventory management method; The processor loads and executes programs from memory.

[0025] In summary, this application includes at least one of the following beneficial technical effects: 1. After responding to inventory requests and collecting basic information, the system immediately locks the logical hierarchy. The hierarchy division gives clear ownership of order inventory. Data charts and financial tables are generated synchronously. The results report directly drives the matching of management methods. Order inventory thus enters the digital track, significantly improving processing efficiency. 2. Based on the multi-level inventory classification results, three priority levels—high, medium, and low—are determined for inventory classification and management. High priority levels initiate cross-warehouse transfers when dynamic data falls below a threshold, providing rapid response alerts and early warnings of stockout risks. Medium priority levels compare replenishment quantities and turnover targets in real time to control inventory funds within the optimal range and improve turnover efficiency. Low priority levels comprehensively consider warehousing and cross-level transfer costs for inventory clearance. 3. When the deviation between dynamic data and benchmark data exceeds a threshold, cause matching is triggered. The parameters of the inventory execution method are automatically corrected according to the deviation parameters. After comparing the indicator achievement rate with the target value, a closed-loop evaluation is formed. Attached Figure Description

[0026] Figure 1 This is a flowchart of a multi-layered refined inventory management method according to an embodiment of the present invention; Figure 2 This is a flowchart of the method for determining the logical hierarchy according to an embodiment of the present invention. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0028] This application discloses a method for refined management of multi-level inventory.

[0029] Reference Figure 1 A multi-layered, refined inventory management method includes the following steps: S100: In response to an inventory request, collect basic inventory information.

[0030] An inventory request refers to an external or internal instruction that triggers the inventory management process.

[0031] Basic inventory information refers to the raw data related to inventory, such as quantity, category, and location.

[0032] When receiving actual inventory requests such as e-commerce orders, manufacturing material requisitions, and inventory counts, the system automatically collects basic information such as inventory quantity, product category, storage location, production batch, and supply source by connecting to the enterprise's management system and warehouse barcode scanning equipment. For special attributes that the system cannot automatically capture (such as customized material specifications), manual entry is used to supplement the information, ensuring that the collected information covers classification parameters such as category, quantity, location, and attributes, providing accurate data support for subsequent inventory hierarchical division and refined management.

[0033] S101: Determine the logical level to which the inventory belongs based on the basic inventory information.

[0034] Logical hierarchy refers to the abstract hierarchy after dividing order inventory according to logical demand, which is used for differentiated management.

[0035] The specific methods are referenced in S200 to S205, which provide a classification basis for the subsequent implementation of differentiated inventory management.

[0036] S102: Divide the order inventory into hierarchical levels according to the logical hierarchy, and collect the inventory data of each level.

[0037] Order inventory refers to inventory units that are directly associated with orders.

[0038] Inventory data refers to quantitative attribute data generated after hierarchical division, such as information on inventory quantity, turnover, storage status, and commodity prices.

[0039] For inventory units directly associated with orders, they are categorized into their corresponding logical levels according to hierarchical classification standards to ensure that the ownership level of each order's inventory is clear and meets business needs. Subsequently, focusing on the management priorities of each level of inventory, quantitative values ​​that can reflect the actual status of inventory are systematically collected, covering core information such as inventory quantity, turnover, and storage status, forming a dedicated inventory data set for each level, providing accurate basis for subsequent generation of data charts and formulation of management plans.

[0040] S103: Generate inventory data charts and financial data tables based on inventory data.

[0041] Inventory data charts are multi-dimensional charts that visually display the status of inventory.

[0042] Financial data sheets refer to reports on the value of inventory used for financial accounting.

[0043] Generating inventory data charts and financial data tables from inventory data using visualization software is common knowledge known to those skilled in the art, and will not be elaborated upon here.

[0044] S104: Outputs a multi-level inventory management result report based on inventory data charts and financial data tables, and matches management methods according to the result report to perform order inventory management.

[0045] Results reports are conclusive documents that integrate inventory status and financial data.

[0046] Management methods refer to the inventory operation plan corresponding to the report's conclusions.

[0047] The output of multi-level inventory management results reports based on inventory data charts and financial data tables using visualization software is common knowledge known to those skilled in the art, and will not be elaborated upon here.

[0048] Reference Figure 2 The matching management method is described in S900 to S906 and will not be repeated here.

[0049] Determining the logical level to which inventory belongs involves the following steps: S200: Collect business requirements and business scenario types.

[0050] Business requirements refer to the specific business objectives that drive inventory management.

[0051] Business scenario type refers to the classification of the business environment in which the inventory is located, such as e-commerce, manufacturing, etc.

[0052] By conducting needs assessments and in-depth communication with core business departments such as sales, production, and operations, and by reviewing existing business processes, order execution records, and annual operational plans, we can clarify the core business objectives driving inventory management. At the same time, by analyzing the actual characteristics of inventory turnover scenarios, we can define the business environment type in which the inventory exists, thereby completing the collection of business needs and business scenario types.

[0053] S201: Determine the parameters for dividing the inventory logical hierarchy based on business needs and basic inventory information.

[0054] Classification parameters refer to parameters used for stratifying business or product attributes, such as value and turnover rate.

[0055] The required classification is determined based on the type of business needs. The basic inventory information is compared with the classification type one by one to assess the degree of fit between the inventory and each type, thereby determining the classification parameters of the inventory logical level. This is common knowledge known to those skilled in the art and will not be elaborated here.

[0056] S202: Based on the partitioning parameters and business scenario type, the order inventory is divided into inventory levels.

[0057] Inventory tiers refer to specific levels after classification, such as high, medium, and low priority.

[0058] Inventory levels are obtained by inputting the classification parameters and business scenario types into a pre-set inventory level database. The inventory level database is a database pre-set by technical personnel according to the actual situation. The inventory level database contains the correspondence between the classification parameters and business scenario types and the inventory levels. The actual correspondence is pre-set by technical personnel according to the actual situation, which will not be elaborated here.

[0059] S203: Match the corresponding inventory attribute parameters according to the inventory level.

[0060] Inventory attribute parameters refer to the set of management parameters that each level of inventory must follow.

[0061] Inventory attribute parameters are obtained by inputting the inventory level into a pre-set inventory attribute parameter database. The inventory attribute parameter database is a database pre-set by technicians according to the actual situation. The inventory attribute parameter database contains the correspondence between inventory levels and inventory attribute parameters. The actual correspondence is pre-set by technicians according to the actual situation, which will not be elaborated here.

[0062] S204: Calculate the matching degree of each inventory level based on inventory attribute parameters and inventory level.

[0063] Matching degree refers to the quantitative value of the degree of fit between inventory and hierarchical rules.

[0064] Based on the inventory attribute parameters, the core features such as business attributes and product attributes of the inventory to be classified are extracted. Through weight calculation, the degree of fit between the inventory feature and the attribute rules of each inventory level is compared one by one. Finally, the quantitative adjustment score corresponding to each inventory level is output, that is, the matching degree of each inventory level. This provides data support for the subsequent selection of the optimal logical level. The weights are preset by technical personnel according to the actual situation and will not be elaborated here.

[0065] S205: Use the inventory level with the highest inventory matching degree as the logical level.

[0066] The inventory level with the highest inventory matching degree is used as the logical level to complete the division of order inventory.

[0067] After hierarchical division, the following steps are included: S300: Set the association between each scenario and the inventory level according to the type of business scenario.

[0068] The relationship refers to the mapping table between scenes and levels.

[0069] Establish a mapping table between business scenario types and inventory levels (such as high / medium / low priority) to clarify the inventory level types that should be associated under different business scenarios. This ensures that the inventory under the scenario can automatically match the management rules and strategies of the corresponding level, realize scenario-based and differentiated refined inventory control, and adapt to the operational goals and resource allocation needs of different scenarios.

[0070] S301: Extract the business attributes and product attributes of the inventory from the basic inventory information, configure the data according to the business attributes and product attributes, and obtain the business scenario information and scenario priority weight of the inventory in real time.

[0071] Business attributes refer to the business characteristics of inventory, such as sales channels and other information.

[0072] Product attributes refer to the inherent characteristics of a product, such as its category and shelf life.

[0073] Business characteristics (such as sales channels, order types, and supply models) are extracted from basic inventory information to form business attributes, while inherent product attributes (such as category, specifications, shelf life, and material importance) are formed as product attributes. By standardizing the format of these two types of attributes and performing data configuration operations such as association mapping, a correspondence between attributes and business scenarios is established. This allows for real-time capture of the specific business environment information of the current inventory (such as sales scenarios and component production and requisition scenarios), providing accurate scenario-based information for subsequent adaptation to target management.

[0074] S302: Extract scenario feature parameters from business scenario information and calculate the process adaptation score by combining scenario priority weights.

[0075] Scene feature parameters refer to key quantitative values ​​that describe a scene.

[0076] Scene priority weight refers to the parameter importance coefficient, which is preset by technical personnel according to the actual situation, and will not be elaborated here.

[0077] The process adaptation score refers to the matching score between the scenario and the management process.

[0078] The process adaptation score is calculated by weighting the scene feature parameters with scene priority, providing accurate data support for subsequent operations.

[0079] S303: When the process adaptation score is higher than the preset process adaptation threshold, determine the target management information for the current scenario based on the inventory level and relationship.

[0080] The process adaptation threshold refers to the minimum acceptable matching score, which is preset by technical personnel according to the actual situation, and will not be elaborated here.

[0081] Target management information refers to information about specific inventory operation procedures that are adapted to the current scenario.

[0082] When the process adaptation score calculated by combining scenario feature parameters with priority weights exceeds the process adaptation threshold, the system will input the pre-set target management information database based on the divided inventory levels and relationships to obtain target management information. The target management information database is a database pre-set by technical personnel according to the actual situation. The target management information database contains the correspondence between inventory levels and relationships and trigger instructions. The actual correspondence is pre-set by technical personnel according to the actual situation, which will not be elaborated here.

[0083] S304: Issue the corresponding process trigger command based on business scenario information and target management information.

[0084] A trigger instruction is a system signal that initiates a specific inventory operation.

[0085] Trigger commands are generated by inputting business scenario information and target management information into a pre-set trigger command database. The trigger command database is a database pre-set by technicians according to the actual situation. The trigger command database contains the correspondence between business scenario information, target management information and trigger commands. The actual correspondence is pre-set by technicians according to the actual situation, which will not be elaborated here.

[0086] S305: Responds to trigger commands for control.

[0087] Upon receiving a trigger command, inventory is managed accordingly, as per S400 to S403, which will not be elaborated upon here.

[0088] In response to a trigger command, control includes the following steps: S400: The collection frequency is determined based on the business scenario type, and the inventory data is detected and updated in real time according to the collection frequency to obtain standardized data.

[0089] Collection frequency refers to the time interval for collecting inventory data.

[0090] Standardized data refers to inventory data that has been cleaned and formatted in a uniform way.

[0091] The collection frequency is obtained by inputting the business scenario type into the pre-set collection frequency database. The collection frequency database is a database pre-set by technicians according to the actual situation. The collection frequency database contains the correspondence between business scenario types and collection frequencies. The actual correspondence is pre-set by technicians according to the actual situation, which will not be elaborated here.

[0092] Inventory-related data are continuously monitored and updated in a timely manner according to the collection frequency interval. At the same time, the collected data is cleaned and standardized in format, resulting in standardized data that can be directly used for subsequent inventory management and analysis.

[0093] S401: Obtain multi-level inventory classification results based on logical hierarchy and standardized data.

[0094] Multi-level inventory classification results refer to the final grouping of inventory categorized by level.

[0095] The specific methods are detailed in S500 to S505 and will not be elaborated here.

[0096] S402: Develop inventory execution methods for each level based on the results of multi-level inventory classification and the results report.

[0097] Inventory execution methods refer to tiered and differentiated inventory operation plans.

[0098] The specific methods are described in S600 to S611 and will not be repeated here.

[0099] S403: Perform inventory receiving, issuing, and transfer operations in accordance with the inventory execution method to match the management method and control inventory.

[0100] Based on the results of multi-level inventory classification, differentiated management solutions are matched for different levels of inventory. Combining real-time synchronized dynamic inventory data with business scenario adaptation requirements, the inbound, outbound and transfer operations are executed in a standardized manner to ensure that inventory flow is accurately matched with business needs and to balance supply stability, cost controllability and capital turnover efficiency. This is common knowledge known to those skilled in the art and will not be elaborated here.

[0101] For specific methods of inventory control, please refer to S900 to S906, which will not be elaborated here. Inventory control shall be carried out in accordance with the management methods.

[0102] Obtaining multi-level inventory classification results based on logical hierarchy and standardized data includes the following steps: S500: Determines the classification parameters for inventory categories based on the logical hierarchy.

[0103] Classification parameters refer to the attribute parameters that are the main basis for classification, such as value and turnover rate.

[0104] Determining inventory classification parameters based on logical hierarchy means using pre-defined abstract logical hierarchy levels such as high, medium, and low priority, combined with the management objectives of the corresponding level, and starting from business needs and scenario characteristics, selecting key attributes that can accurately distinguish the core differences of inventory at different levels as classification parameters for inventory classification. This ensures that the classification parameters are highly consistent with the management requirements of each logical level, providing a foundation for subsequent accurate classification and differentiated control.

[0105] S501: Quantize the classification parameters to obtain quantized values.

[0106] Quantitative values ​​refer to the calculable dimensional values ​​in inventory data.

[0107] Extract the corresponding parameters from the data indicators of all classification parameters to obtain quantitative values, thereby enabling quantitative decision-making.

[0108] S502: Match evaluation parameters based on standardized data.

[0109] Evaluation parameters refer to auxiliary attribute parameters used for model evaluation.

[0110] Evaluation parameters are obtained by inputting standardized data into a pre-set evaluation parameter database. The evaluation parameter database is a database pre-set by technicians according to the actual situation. The evaluation parameter database contains the correspondence between standardized data and evaluation parameters. The actual correspondence is pre-set by technicians according to the actual situation, which will not be elaborated here.

[0111] S503: Establish a three-dimensional evaluation model based on quantitative values ​​and evaluation parameters.

[0112] The three-dimensional assessment model refers to a mathematical formula model for inventory scoring in three dimensions.

[0113] The three-dimensional evaluation model is established based on quantitative values ​​and evaluation parameters. The method of establishing the model is common knowledge known to those skilled in the art and will not be elaborated here.

[0114] S504: Input standardized data into the three-dimensional evaluation model to calculate the comprehensive evaluation score of each inventory item.

[0115] The comprehensive evaluation score refers to the multi-dimensional scoring results of the inventory items.

[0116] By substituting standardized data into the formula of the three-dimensional evaluation model, the comprehensive evaluation score of each inventory item can be calculated.

[0117] S505: The inventory items corresponding to the comprehensive evaluation score are divided into multi-level inventory classification results, which include high-priority level inventory, medium-priority level inventory and low-priority level inventory.

[0118] After calculating the comprehensive evaluation score of each inventory item using a three-dimensional evaluation model, the corresponding inventory items are classified into high, medium, and low preset levels according to their scores based on pre-set hierarchical classification thresholds, ultimately forming a multi-level inventory classification result, which provides a classification basis for the subsequent formulation of differentiated inventory implementation methods.

[0119] The tier division threshold refers to the dividing value of the comprehensive evaluation score, which is preset by technical personnel according to the actual situation, and will not be elaborated here.

[0120] After obtaining the multi-level inventory classification results, the following steps are included: S600: If the multi-level inventory classification result is high-priority level inventory, then the business scenario complexity and safety stock benchmark shall be determined based on the comprehensive evaluation score.

[0121] High-priority inventory refers to the highest level in the classification results.

[0122] Business scenario complexity refers to the complexity of the business environment in which the inventory exists.

[0123] Safety stock benchmark refers to the minimum inventory level standard, which is preset by technical personnel based on actual conditions and will not be elaborated here.

[0124] The comprehensive evaluation score will assess the value, turnover rate, and urgency of demand across multiple dimensions, further clarifying the complexity of the business scenario (such as whether it is a special scenario like a major promotion or core production), and simultaneously determining the safety stock benchmark (i.e., minimum inventory level standard) to ensure the stability of inventory supply.

[0125] S601: Extract historical supply interruption duration based on standardized data.

[0126] Historical supply disruption duration refers to the recorded duration of past supply chain disruptions.

[0127] By filtering data, matching and calculating time nodes, the duration of various supply disruption events (such as supply delays, supply interruptions, logistics blockages, etc.) from occurrence to the restoration of normal supply within historical periods is extracted. This is the historical supply disruption duration, which provides quantitative data support for inventory risk assessment and supply stability analysis.

[0128] S602: Determine the replenishment response timeliness level based on the historical supply interruption duration. The replenishment response timeliness level includes Level 1 and Level 2.

[0129] The replenishment response time rating refers to a classification that reflects the urgency of replenishing order inventory.

[0130] The replenishment response timeliness level is determined by matching the historical supply interruption duration. A corresponding table is pre-set. The table of correspondence between historical supply interruption duration and replenishment response timeliness level is pre-set by technical personnel according to the actual situation, and will not be elaborated here.

[0131] S603: Determine the real-time monitoring frequency based on the results of multi-level inventory classification and the complexity of business scenarios.

[0132] Real-time monitoring frequency refers to the interval period for updating inventory status.

[0133] The higher the priority of the multi-level inventory classification results and the more complex the business scenario, the higher the corresponding real-time monitoring frequency. The real-time monitoring frequency is calculated by substituting the pre-set weights into the data. The weights are pre-set by technical personnel based on the actual situation and will not be elaborated here.

[0134] S604: Determine the first-level and second-level warning thresholds for inventory based on the safety stock benchmark.

[0135] The Level 1 warning threshold refers to the highest inventory warning line.

[0136] The Level 2 warning threshold refers to the second-highest inventory warning line.

[0137] The multiplier for the first-level warning threshold is obtained by multiplying the pre-set multiplier coefficient by the safety stock benchmark. The multiplier coefficient is usually 1.2-1.5 times the safety stock, while the multiplier coefficient for the second-level warning threshold is equal to or lower than 0.8-1.0 times the safety stock.

[0138] S605: Collects dynamic inventory data at a real-time monitoring frequency and updates inventory data charts and financial data tables synchronously.

[0139] Dynamic data refers to inventory data that changes in real time.

[0140] The dynamic data of inventory is collected in real time, and the dynamic data is synchronously updated through visualization software to generate inventory data charts and financial data tables, which is consistent with the method in S103, and will not be described in detail here.

[0141] S606: If the dynamic data is lower than the level 2 warning threshold, a replenishment instruction will be generated.

[0142] A replenishment order is a system command that immediately replenishes stock.

[0143] If the dynamic data falls below the level 2 warning threshold, it indicates that replenishment is needed, and a replenishment instruction will be generated.

[0144] S607: If the replenishment response timeliness level is Level 1, the transfer distance shall be determined according to the replenishment instruction and the replenishment response timeliness level.

[0145] Level 1 refers to the highest emergency response level, which is preset by technical personnel based on the actual situation and will not be elaborated here.

[0146] The distance for goods to be transferred refers to the radius within which goods can be transferred from nearby locations.

[0147] If the replenishment response timeliness level is Level 1, it means that replenishment can be arranged and the replenishment order can be responded to. The response time threshold and transportation speed parameter are determined according to the mapping relationship of the replenishment response timeliness level. Then, the replenishment distance is obtained by multiplying the response time threshold and transportation speed parameter.

[0148] The mapping relationship between preset timeliness levels and time thresholds is shown in the following example: Level 1 timeliness rating, response time threshold (T≤4h), same-city instant delivery, transportation speed parameter is 40-60 (V, km / h).

[0149] Level 2 timeliness, response time threshold (4h<T≤12h), regional short-distance transportation, transportation speed parameter is 60-80 (V, km / h).

[0150] S608: Determine the transfer inventory within the range based on the transfer distance, and transfer goods using the transfer inventory.

[0151] Transfer inventory refers to inventory that can be transferred.

[0152] Based on the initiator of the restocking request (such as a store or distribution center), a preset restocking distance threshold (such as 30 kilometers or a 2-hour transportation radius) is set to screen out suppliers with the capacity to store goods within this distance range (such as forward warehouses, sister stores, and regional warehouses). Simultaneously, the quantity of goods that can be immediately allocated from these suppliers (i.e., restocking inventory, excluding reserved inventory, damaged inventory, and other unusable portions) is counted. Finally, the restocking inventory within this range is used as the sole source of goods to execute the restocking operation, achieving the goals of efficient replenishment at close range, reducing transportation costs, and improving restocking timeliness.

[0153] S609: If the dynamic data is between the first-level warning threshold and the second-level warning threshold, obtain the out-of-stock inventory.

[0154] Out-of-stock inventory refers to the amount of inventory below the safety stock level.

[0155] If the dynamic data falls between the first-level and second-level warning thresholds, it indicates that restocking should be done as soon as possible to acquire the out-of-stock inventory.

[0156] S610: If the replenishment response timeliness level is Level 2, match the inventory quota based on the out-of-stock inventory.

[0157] The second level refers to the next highest emergency response level, which is preset by technical personnel based on the actual situation and will not be elaborated here.

[0158] Inventory quota refers to the amount of replenishment reserved in the safety stock.

[0159] When the replenishment response timeliness level is determined to be Level 2, the system will match and allocate the corresponding inventory quota from the pre-configured safety stock based on the specific category and quantity of the current out-of-stock inventory, so as to achieve accurate replenishment under this timeliness level.

[0160] S611: Generate replenishment reminders based on inventory quotas and replenishment response timeliness levels, and perform replenishment.

[0161] Replenishment alerts refer to replenishment notifications generated by the system.

[0162] By linking inventory quotas with replenishment response timeliness levels, the system compares the current inventory status with the quota threshold in real time, and automatically triggers replenishment reminders based on the corresponding timeliness requirements. Subsequently, it executes precise replenishment operations based on the reminder instructions, achieving dual control over inventory supply and demand balance and response efficiency.

[0163] After obtaining the multi-level inventory classification results, the following steps are also included: S700: If the multi-level inventory classification result is medium priority level inventory, the replenishment batch calculation baseline is determined based on the comprehensive evaluation score.

[0164] Medium priority level inventory refers to the middle level in the classification results.

[0165] The replenishment batch calculation baseline refers to the economic replenishment quantity calculation baseline, which is preset by technical personnel according to the actual situation, and will not be elaborated here.

[0166] When the classification result of multi-level inventory belongs to the medium priority level, the system will use the comprehensive evaluation score of the inventory at that level as the core basis to determine the benchmark value for calculating the replenishment batch, thereby realizing the refined and differentiated management of medium priority inventory replenishment strategy.

[0167] S701: Collect demand fluctuations and set a tolerance threshold for demand fluctuations.

[0168] Demand fluctuations refer to the magnitude of changes in inventory demand.

[0169] The tolerance threshold refers to the acceptable range of demand variation.

[0170] By collecting real-time or periodic data on downstream order demand, historical sales, and market forecasts for different levels of inventory, statistical analysis methods are used to calculate the fluctuation range and patterns of demand in the time or space dimensions. Then, combined with factors such as the company's inventory cost tolerance, supply chain response speed, and customer service level goals, the acceptable range of demand fluctuations, i.e., the tolerance threshold, is determined.

[0171] S702: Determine inventory turnover rate based on standardized data.

[0172] Inventory turnover rate refers to the speed at which inventory is turned over.

[0173] Sales expenses and average inventory balance are determined from standardized data, and then the inventory turnover rate is calculated using the formula (Inventory Turnover Rate = Sales Expenses ÷ Average Inventory Balance).

[0174] S703: Set the turnover optimization cycle based on inventory turnover rate.

[0175] The inventory turnover optimization cycle refers to a dynamic adjustment cycle determined based on inventory turnover rate, combined with the characteristics of multi-layered inventory, demand fluctuations, and supply chain responsiveness.

[0176] Based on inventory turnover rate, a core operational indicator, target thresholds for inventory turnover rate at each level are determined, deviation coefficients between actual turnover rate and target thresholds are calculated, a benchmark value for the optimization cycle is set, and the benchmark value is corrected through the deviation coefficient. The turnover optimization cycle = benchmark value × deviation coefficient. Its core logic is to match the inventory flow efficiency reflected by turnover rate with an appropriate optimization frequency.

[0177] S704: Determine the optimal replenishment quantity based on inventory data and replenishment batch calculation baseline.

[0178] The optimal replenishment quantity refers to the economically optimal replenishment quantity.

[0179] The optimal replenishment quantity is determined by weighted calculation based on inventory data and a baseline for replenishment batch calculation. The weights are preset by technical personnel according to the actual situation, and will not be elaborated here.

[0180] S705: Calculate inventory turnover efficiency according to the turnover optimization cycle, and compare to determine the adjustment direction and inventory digestion.

[0181] Adjusting the direction refers to determining the inventory data that needs to be changed based on external variables such as market demand fluctuations and peak and off-peak sales seasons.

[0182] Inventory reduction refers to the amount of inventory that needs to be reduced.

[0183] Using the turnover optimization cycle as the statistical unit, core efficiency indicators such as inventory turnover rate and turnover days at each level are calculated. The actual statistical results are compared with the turnover targets set in the inventory. If the actual turnover efficiency is lower than the target, the adjustment direction for inventory backlog is clarified (such as reducing the purchase volume or launching promotional clearance). At the same time, the scale of inventory that needs to be digested is quantified. The turnover target is used to judge whether the turnover rate has reached the expected target value. It is set in advance by technical personnel according to the actual situation and will not be elaborated here.

[0184] S706: Calculate inventory digestion cycle based on turnover optimization cycle and inventory digestion volume.

[0185] Inventory digestion cycle refers to the time required for inventory to decrease.

[0186] Using the turnover optimization cycle as the time benchmark, the planned inventory digestion target within the cycle is determined by matching a pre-set lookup table. Then, by comparing the current actual total inventory with the inventory digestion within the cycle, the inventory digestion cycle is finally obtained. The lookup table between the turnover optimization cycle and the planned inventory digestion target is pre-set by technical personnel according to the actual situation and will not be elaborated here.

[0187] S707: Determine the replenishment interval based on the inventory digestion cycle and adjustment direction.

[0188] The replenishment interval refers to the time interval between two replenishments.

[0189] First, the natural consumption time (i.e., inventory digestion cycle) of a single batch of inventory is calculated by using historical sales and current inventory volume. Then, the direction is adjusted by combining market demand fluctuations, sales peak and off-peak seasons, and supply chain response speed (such as shortening the cycle when demand rises and preparing inventory in advance when supply is delayed). Finally, the optimal replenishment interval is dynamically set to achieve a balance between inventory turnover efficiency and supply and demand matching. This is common knowledge in the art and will not be elaborated here.

[0190] S708: When demand fluctuations exceed the tolerance threshold, replenishment shall be carried out at replenishment intervals and with the optimal replenishment quantity.

[0191] When demand fluctuations exceed the tolerance threshold, it indicates that long-term replenishment is needed. In this way, replenishment should be carried out at replenishment intervals and with the optimal replenishment quantity to ensure supply.

[0192] After obtaining the multi-level inventory classification results, the following steps are also included: S800: If the multi-level inventory classification result is low-priority inventory, the inventory clearance trigger cycle is determined based on the comprehensive evaluation score.

[0193] Low-priority inventory refers to the lowest level in the classification results.

[0194] The inventory clearance trigger cycle refers to the time period for initiating clearance, which is preset by technical personnel based on actual conditions and will not be elaborated here.

[0195] If the multi-level inventory classification result is low-priority inventory, the system or administrators will determine the fixed time interval or trigger point for starting the inventory clearance work based on the comprehensive evaluation score of this type of inventory, which is the inventory clearance trigger cycle.

[0196] S801: Determine the inventory age based on standardized data to set the proportion of warehousing costs, and statistically determine the value of slow-moving inventory.

[0197] Inventory age refers to the length of time an inventory has been stored.

[0198] The warehousing cost percentage refers to the proportion of warehousing costs to all costs.

[0199] Unsold inventory refers to inventory that has not been sold for a long time.

[0200] Differentiated warehousing cost allocation ratios are set based on inventory age (e.g., the longer the inventory age, the higher the cost ratio). At the same time, combined with pre-set slow-moving judgment rules (e.g., inventory age exceeding the threshold, long-term no outbound records, shrinking market demand, etc.), inventory that meets the slow-moving judgment rules is screened from standardized data, which is the slow-moving inventory value. This achieves dual refined management of inventory costs and slow-moving risks. The slow-moving judgment rules are pre-set by technical personnel according to the actual situation, and will not be elaborated here.

[0201] S802: When the inventory age reaches the preset cleanup trigger cycle, check the inventory status and count the percentage of inventory whose age exceeds the preset inventory age threshold.

[0202] The cleanup trigger cycle refers to the cycle in inventory management that requires storage inspection or cleanup. It is preset by technical personnel according to the actual situation and will not be elaborated here.

[0203] The inventory age threshold refers to the maximum allowable storage time for order inventory, which is preset by technical personnel based on actual conditions and will not be elaborated here.

[0204] Inventory percentage refers to the proportion of over-aged inventory to total inventory.

[0205] When the inventory age reaches the clearance trigger cycle, it indicates that the goods may be due for clearance. Therefore, the inventory percentage is calculated by dividing the quantity of inventory that exceeds the inventory age threshold in the standardized data by the total inventory quantity.

[0206] S803: When the inventory ratio exceeds the warehousing cost ratio, if the value of slow-moving inventory is greater than the preset slow-moving threshold, calculate the transfer cost for cross-level transfer.

[0207] The slow-moving inventory threshold refers to the upper limit of slow-moving inventory value, which is preset by technical personnel according to the actual situation, and will not be elaborated here.

[0208] Transfer costs refer to the economic expenses incurred in transferring funds across different levels.

[0209] When the inventory ratio exceeds the storage cost ratio, compare the slow-moving inventory value with the slow-moving threshold. If the slow-moving inventory value is greater than the slow-moving threshold, it indicates that the storage cost is high and the goods are slow-moving. Calculate the transfer cost for cross-level transfers and proceed to the next step of analysis.

[0210] S804: If the transfer cost is not greater than the preset transfer cost threshold, the inventory will be allocated to the medium priority level and the high priority level first.

[0211] The transfer fee threshold refers to the maximum allowable transfer fee, which is preset by technical personnel according to the actual situation and will not be elaborated here.

[0212] If the transfer cost is not greater than the transfer cost threshold, it indicates that the inventory balance cost is low, and inventory will be allocated to the medium priority level and high priority level first.

[0213] S805: If the value of slow-moving inventory is not greater than the preset slow-moving threshold or the transfer cost is greater than the preset transfer cost threshold, start the inventory clearance process based on the value of slow-moving inventory and collect the reserved inventory for orders.

[0214] The inventory clearance process refers to the steps and procedures for handling slow-moving inventory.

[0215] Order reservation inventory refers to the amount of inventory reserved for orders.

[0216] If the value of slow-moving inventory is not greater than the slow-moving threshold or the transfer cost is greater than the transfer cost threshold, it means that transferring goods is not cost-effective. Based on the value of slow-moving inventory, the inventory clearance process is initiated and the reserved inventory in the order is collected for clearance.

[0217] S806: Based on the reserved inventory for orders, calculate the amount of funds recovered and the costs of clearing up, and determine the efficiency of fund recovery and the benefits of clearing up.

[0218] The amount of funds recovered refers to the amount obtained during the inventory clearance process.

[0219] Clearance costs refer to the expenses incurred in the inventory clearance process.

[0220] Capital recovery efficiency refers to the speed at which funds are recovered.

[0221] Cleanup benefits refer to the gains brought about by cleanup.

[0222] By using the quantitative formulas of "Capital Recovery Efficiency = Capital Recovery Amount / Original Value of Order Reserved Inventory" and "Cleanup Efficiency = Capital Recovery Amount - Cleanup Costs", two core indicators are calculated respectively, thereby achieving an accurate assessment of the asset value realization capability of order reserved inventory and the input-output efficiency of the cleanup process.

[0223] S807: If the capital recovery efficiency is lower than the preset capital recovery target, the tiered price reduction coefficient shall be determined based on the cleanup efficiency.

[0224] The target for capital recovery refers to the minimum rate of capital recovery, which is preset by technical personnel based on the actual situation and will not be elaborated here.

[0225] The tiered price reduction coefficient refers to the percentage of price reductions in different stages.

[0226] If the capital recovery efficiency is lower than the capital recovery target, it indicates low recovery efficiency. In this case, a tiered price reduction coefficient will be determined based on the clearing efficiency, and sales will be conducted at reduced prices to accelerate the clearing process.

[0227] S808: Determines and outputs adjustment information based on tiered price reduction coefficients for adjustment purposes.

[0228] The adjustment information is obtained by multiplying the tiered price reduction coefficient by the selling price of the goods and outputting it. The price reduction is then adjusted according to the adjustment information. The selling price of the goods is preset by the technical staff according to the actual situation, which will not be elaborated here.

[0229] After implementing inventory control, the following steps are included: S900: Compares dynamic data with preset benchmark data values ​​to determine the degree of deviation.

[0230] The baseline data value refers to the standard data value, which is preset by technicians according to the actual situation, and will not be elaborated here.

[0231] The degree of deviation refers to the proportion of the difference between the actual data and the standard value.

[0232] The degree of deviation is obtained by subtracting the baseline data value from the dynamic data.

[0233] S901: When the deviation exceeds the preset deviation threshold, the deviation parameter is matched according to the deviation level.

[0234] The deviation threshold refers to the maximum permissible deviation, which is preset by technicians according to the actual situation and will not be elaborated here.

[0235] Deviation parameters refer to the root cause parameters that lead to deviations.

[0236] When the deviation exceeds the deviation threshold, it indicates that the deviation is too large. The deviation parameter is matched according to the deviation degree. A reference table with a one-to-one correspondence between the deviation degree and the deviation parameter is stored in advance to determine the deviation parameter. The reference table is set in advance by the technicians according to the actual situation, which will not be elaborated here.

[0237] S902: The adjustment score is calculated based on the deviation parameter.

[0238] The parameters of the inventory execution method refer to the adjustable variables in the inventory execution method.

[0239] The adjustment score refers to the quantitative score of the optimization of the inventory execution method after adjustment.

[0240] In the process of multi-layered refined inventory management, when the actual inventory level, turnover efficiency, or supply-demand matching status deviates from the set planned targets, the parameters of the inventory execution method are modified in a targeted manner by identifying the core causes of the deviation (such as market demand fluctuations, supply chain fulfillment delays, excessive material losses, and prediction model errors). This is a dynamic control measure to eliminate deviations and optimize inventory efficiency. Then, based on the adjusted inventory execution method, systematic calculations are carried out. By collecting core indicator data such as turnover efficiency, stockout rate, backlog costs, and supply-demand matching degree of each level of inventory, and comparing and analyzing them with pre-set performance benchmark values, a quantitative and qualitative adjustment score is finally formed, which includes the strategy execution effect, advantages and disadvantages, and the degree of alignment with business objectives. This provides data support for subsequent strategy iteration and optimization. This is common knowledge known to those skilled in the art and will not be elaborated here.

[0241] S903: Calculate the actual achieved value of each indicator based on the adjusted score.

[0242] Actual achieved value refers to the quantitative result calculated based on standardized data such as inventory turnover rate, stockout rate, and excess inventory ratio.

[0243] By comparing actual data with target thresholds, the actual values ​​achieved by each indicator within the evaluation period for adjusting scores are determined, providing a quantitative basis for subsequent inventory strategy optimization and performance review.

[0244] S904: Compare the actual achieved value with the preset target value and calculate the indicator achievement rate.

[0245] The target value refers to the indicator target used to judge whether the relevant data is qualified. It is set in advance by technical personnel according to the actual situation, and will not be elaborated here.

[0246] The target achievement rate refers to the percentage of the actual achieved value compared to the target value.

[0247] The actual achieved value is compared with the target value, and the achievement rate is calculated by division.

[0248] S905: If the achievement rate of all indicators is higher than the preset threshold, the current inventory execution method will be maintained.

[0249] The threshold for achieving the target refers to the minimum acceptable rate of achievement, which is preset by technical personnel based on the actual situation and will not be elaborated here.

[0250] If the achievement rate of all indicators is higher than the target threshold, it indicates that the strategy is appropriate, and the current inventory execution method will be maintained.

[0251] S906: If the achievement rate of all indicators is not higher than the preset achievement threshold, then inventory control will be carried out according to the deviation parameters and inventory execution method.

[0252] If the achievement rate of all indicators is not higher than the target threshold, it indicates that the strategy is inappropriate, and inventory management should be re-implemented.

[0253] Inventory control is achieved through deviation parameters and inventory execution methods, which will not be elaborated upon here.

[0254] Based on the same inventive concept, embodiments of the present invention provide a multi-layered refined inventory management system, including: The acquisition module is used to acquire basic inventory information and inventory data; Memory, used to store programs that implement any multi-level refined inventory management method; The processor loads and executes programs from memory.

[0255] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0256] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A multi-layered refined inventory management method, characterized in that, include: In response to an inventory request, collect basic inventory information; Determine the logical level to which the inventory belongs based on basic inventory information; The order inventory is divided into hierarchical levels according to the logical hierarchy, and inventory data of each level is collected. Generate inventory data charts and financial data tables based on inventory data; Based on inventory data charts and financial data tables, output multi-level inventory management result reports, and match management methods according to the result reports to carry out order inventory management.

2. The multi-layered refined inventory management method according to claim 1, characterized in that, Determining the logical level to which inventory belongs includes: Collect business requirements and business scenario types; The parameters for dividing the inventory logical hierarchy are determined based on business needs and basic inventory information. The order inventory is divided into inventory levels based on the partitioning parameters and business scenario types; Match the corresponding inventory attribute parameters according to the inventory level; The matching degree of each inventory level is calculated based on the inventory attribute parameters and inventory level; The inventory level with the highest inventory matching degree is used as the logical level.

3. The multi-layered refined inventory management method according to claim 2, characterized in that, After hierarchical division, it includes: Define the relationship between each business scenario and the inventory level; Extract the business attributes and product attributes of the inventory from the basic inventory information, configure the data according to the business attributes and product attributes, and obtain the business scenario information and scenario priority weight of the inventory in real time. Extract scenario feature parameters from business scenario information and calculate process adaptation score by combining scenario priority weights; When the process adaptation score is higher than the preset process adaptation threshold, the target management information for the current scenario is determined based on the inventory level and relationship. Based on business scenario information and target management information, issue corresponding process triggering instructions; Responding to trigger commands for control.

4. The multi-layered refined inventory management method according to claim 3, characterized in that, Control measures in response to trigger commands include: The collection frequency is determined based on the type of business scenario, and the inventory data is detected and updated in real time according to the collection frequency to obtain standardized data. Multi-level inventory classification results are obtained based on logical hierarchy and standardized data; Develop inventory execution methods for each level based on the multi-level inventory classification results and results reports; Inventory inbound, outbound, and transfer operations are performed in accordance with inventory execution methods to match management methods and control inventory.

5. The multi-layered refined inventory management method according to claim 4, characterized in that, Based on logical hierarchy and standardized data, the multi-level inventory classification results include: The classification parameters for inventory categories are determined based on the logical hierarchy; The classification parameters are quantized to obtain quantized values; Evaluation parameters are matched based on standardized data; A three-dimensional evaluation model is established based on quantitative values ​​and evaluation parameters; Standardized data is input into the three-dimensional evaluation model to calculate the comprehensive evaluation score of each inventory item; The inventory items corresponding to the comprehensive evaluation scores are divided into multi-level inventory classification results, which include high-priority inventory, medium-priority inventory, and low-priority inventory.

6. The multi-layered refined inventory management method according to claim 5, characterized in that, After obtaining the multi-level inventory classification results, the following are included: If the multi-level inventory classification result is high-priority level inventory, then the business scenario complexity and safety stock benchmark are determined based on the comprehensive evaluation score. Historical supply disruption durations were extracted based on standardized data; The replenishment response timeliness level is determined based on the historical supply interruption duration. The replenishment response timeliness level includes Level 1 and Level 2. The frequency of real-time monitoring is determined based on the results of multi-level inventory classification and the complexity of business scenarios; The first-level and second-level early warning thresholds for inventory are determined based on the safety stock benchmark; Collect dynamic inventory data at a real-time monitoring frequency and update inventory data charts and financial data tables synchronously. If the dynamic data falls below the level 2 warning threshold, a replenishment order will be generated. If the replenishment response timeliness level is Level 1, the transfer distance is determined based on the replenishment instruction and the replenishment response timeliness level; The transfer inventory is determined within the range based on the transfer distance, and the transfer is carried out using the transfer inventory. If the dynamic data falls between the first-level and second-level warning thresholds, obtain the out-of-stock inventory. If the replenishment response timeliness level is Level 2, the inventory quota will be matched based on the out-of-stock inventory. Replenishment reminders are generated based on inventory quotas and replenishment response timeliness levels, and replenishment is carried out.

7. The multi-layered refined inventory management method according to claim 6, characterized in that, After obtaining the multi-level inventory classification results, the following is also included: If the multi-level inventory classification result is medium priority level inventory, the replenishment batch calculation baseline is determined based on the comprehensive evaluation score, demand fluctuations are collected, and a tolerance threshold for demand fluctuations is set. Inventory turnover rate is determined based on standardized data; Set the turnover optimization cycle based on inventory turnover rate; Determine the optimal replenishment quantity based on inventory data and a baseline for calculating replenishment batch size; Calculate inventory turnover efficiency according to the turnover optimization cycle, and compare to determine the adjustment direction and inventory digestion. Calculate the inventory digestion cycle based on the turnover optimization cycle and inventory digestion rate; The replenishment interval is determined based on the inventory digestion cycle and adjustment direction; When demand fluctuations exceed the tolerance threshold, replenishment is carried out at replenishment intervals and with the optimal replenishment quantity.

8. The multi-level refined inventory management method according to claim 7, characterized in that, After obtaining the multi-level inventory classification results, the following is also included: If the multi-level inventory classification result is low-priority inventory, the inventory clearance trigger cycle is determined based on the comprehensive evaluation score; Based on standardized data, the age of inventory is determined to set the proportion of warehousing costs, and the value of slow-moving inventory is statistically determined. When the inventory age reaches the preset cleanup trigger cycle, the inventory status is detected and the percentage of inventory whose age exceeds the preset inventory age threshold is calculated. When the inventory ratio exceeds the warehousing cost ratio, if the value of unsold inventory is greater than the preset unsold threshold, the transfer cost for cross-level transfer will be calculated. If the transfer cost is not greater than the preset transfer cost threshold, the inventory will be allocated to the medium priority level and the high priority level first. If the value of slow-moving inventory is not greater than the preset slow-moving threshold or the transfer cost is greater than the preset transfer cost threshold, the inventory clearance process will be initiated based on the value of slow-moving inventory and the reserved inventory for orders will be collected. Based on the reserved inventory for orders, the amount of funds recovered and the costs of clearing up are statistically analyzed to calculate the efficiency of fund recovery and the benefits of clearing up. If the capital recovery efficiency is lower than the preset capital recovery target, the tiered price reduction coefficient will be determined based on the cleanup efficiency. Adjustment information is determined and output using tiered price reduction coefficients for adjustment.

9. A multi-level refined inventory management method according to claim 8, characterized in that, After implementing inventory control, the following are included: The dynamic data is compared with the preset benchmark data values ​​to determine the degree of deviation; When the deviation exceeds the preset deviation threshold, the deviation parameter is matched according to the degree of deviation; The adjustment score is calculated based on the deviation parameter; The actual achieved values ​​for each indicator are calculated based on the adjusted scores. The actual achieved value is compared with the preset target value, and the indicator achievement rate is calculated. If the achievement rate of all indicators is higher than the preset threshold, the current inventory management method will be maintained. If the achievement rate of all indicators is not higher than the preset threshold, then inventory control will be carried out according to the deviation parameters and inventory execution methods.

10. A multi-level refined inventory management system, characterized in that, include: The acquisition module is used to acquire basic inventory information and inventory data; A memory for storing a program that implements any one of the multi-level inventory management methods according to claims 1 to 9; The processor loads and executes programs from memory.

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