System and method for intelligently generating allocation list

Abstract

The invention discloses a system for intelligently generating an allocation list, which relates to the technical field of allocation and comprises an inventory calculation module, an intelligent inventory early warning module, an allocation configuration module, an intelligent allocation monitoring module, an allocation report module and a custom module. The inventory calculation module integrates the existing inventory data, automatically records and updates the inventory data after the inventory changes, and makes a decision for subsequent inventory management; the intelligent inventory early-warning module is provided with an early-warning function, and based on a set inventory early-warning threshold value, after the inventory calculation module obtains that the inventory amount is lower than the threshold value, an early-warning notice is sent, an inventory strategy is adjusted, and information transmission is ensured. The invention further discloses a method for intelligently generating the allocation list. According to the intelligent allocation system, the inventory data and the allocation instruction can be automatically processed, manual operation is not needed, the processing speed and accuracy are greatly improved, and compared with manual allocation, the communication cost is high, the workload is large, and data errors are likely to occur.

Description

Technical Field

[0001] The present invention relates to the field of transfer technology, and in particular to a system and method for intelligently generating a transfer order. Background Art

[0002] In today's booming express delivery industry, eco-friendly bags, with their distinctive green ecological concept and convenient recycling characteristics, have firmly occupied the standard position of major logistics companies. This change has led to a sharp increase in the frequency of use of eco-friendly bags in transshipment centers, branches and branch organizations across the country, becoming an important force in promoting the green transformation of the industry. When a transshipment center is in urgent need of bags, it usually starts with a manual application from the warehouse keeper, and then relies on the allocation administrator to query the inventory status of each center one by one and manually issue allocation instructions; the above allocation process not only requires the administrator to maintain a high degree of online status, but also often due to information The significant lag effect caused by untimely processing has seriously restricted the efficient circulation and utilization of eco-friendly bags. What is more troublesome is that the existing "first-come, first-served" allocation principle often leads to unbalanced resource allocation, that is, the transfer center that submits the application first can quickly obtain the required eco-friendly bags, while the later applicants may face the dilemma of insufficient supply. In addition, in the absence of intelligent assistance, it is difficult for administrators to fully consider the combination of multiple allocation demands and the optimal allocation route, which increases unnecessary transportation costs and reduces overall operational efficiency. In this regard, we propose a system and method for intelligently generating allocation orders. Summary of the invention

[0003] The purpose of the present invention is to provide a system and method for intelligently generating a transfer order, so as to solve the problem of unbalanced resource allocation raised in the above-mentioned background technology.

[0004] By adopting the above technical solution, a system for intelligently generating transfer orders includes an inventory calculation module, an intelligent inventory warning module, a transfer configuration module, an intelligent transfer monitoring module, a transfer report module and a custom module;

[0005] The inventory calculation module integrates existing inventory data, automatically records and updates inventory data after inventory changes occur, and makes decisions for subsequent inventory management;

[0006] The intelligent inventory warning module sets the warning function. Based on the set inventory warning threshold, when the inventory calculation module obtains that the inventory volume has reached below the threshold, it sends a warning notification and adjusts the inventory strategy to ensure information transmission;

[0007] The transfer configuration module flexibly configures routes based on distance optimization, manages time in a refined manner, customizes transfer rules, performs automated and precise intelligent transfer processing, and generates intelligent transfer orders;

[0008] The intelligent transfer monitoring module generates a transfer order based on the transfer configuration module. After the transfer order is generated, it automatically sends the task to the transfer-out warehouse, notifies the warehouse keeper to perform the transfer operation, monitors the transfer execution status in real time, records the transfer order execution log, and issues an alarm to notify the warehouse keeper if an abnormality is found.

[0009] The transfer report module helps administrators fully understand the operation of transfer business by conducting in-depth analysis on key indicators such as inventory turnover rate, transfer efficiency and transportation cost;

[0010] The custom module is used for users to manually intervene in and adjust the allocation configuration.

[0011] Preferably, the inventory data integrated by the inventory calculation module includes the core data of existing inventory, incoming inventory, outgoing inventory, daily average usage and in-transit inventory, presenting a comprehensive inventory status view to users and supporting flexible and diverse query conditions, including time range, warehouse location and logistics direction, and focusing on inventory changes at key operation nodes to ensure the real-time and accuracy of data. Whenever inventory changes, inventory data will be automatically recorded and updated, providing a data basis for subsequent inventory management and transfer decisions; the backlog in the inventory guides the direction and scale of transfer, and the calculation formula for the backlog is:

[0012] A=B+Dch*e

[0013] Among them, A is the extrusion volume, B is the existing inventory in the warehouse, D is the incoming volume, c is the outgoing volume, h is the average daily usage, and e is the base number, which is a configurable multiple.

[0014] Preferably, the intelligent inventory warning module sets the inventory warning threshold according to business needs. When the inventory reaches or falls below this threshold, the intelligent inventory warning module immediately sends a warning notification to the warehouse keeper through email, SMS and system message channels. The warning information is detailed, including the current inventory, warning level and recommended response measures, to help warehouse managers respond quickly, adjust inventory strategies, and ensure stable operation of the supply chain; the warning threshold is established based on the fixed cycle method, and the historical demand data for environmentally friendly bags is obtained. The replenishment cycle of environmentally friendly bags is set to T. During the replenishment cycle, the demand for environmentally friendly bags is Q, the standard deviation is α, and the safety factor is k. The calculation formula for the demand Q of environmentally friendly bags is:

[0015]

[0016] Where n is the number of replenishment cycles counted, Q i is the demand for eco-friendly bags in the i-th replenishment cycle;

[0017] The calculation formula of standard deviation α is:

[0018]

[0019] The formula reflects the degree of fluctuation in the demand for eco-friendly bags;

[0020] Inventory warning threshold G=Q+kα; the inventory warning threshold is calculated by the formula.

[0021] Preferably, the distance optimization in the transfer configuration module provides a basis for warehouse managers to optimize the transfer path by manually setting the transfer distance between warehouses and automatically calculating the actual distance based on the longitude and latitude of the map;

[0022] Flexible route configuration supports one-to-one and one-to-many route configuration. Warehouse managers can set up transfer routes between incoming warehouses and outgoing warehouses according to demand. It also supports multiple route selection, automatically calculates route length and estimated transportation time, and selects the best transfer route.

[0023] Fine-grained time management: set the start and end time of the transfer task, execute the task within a reasonable time period, provide a scheduled transfer function, set the daily transfer time, and let the transfer configuration module automatically execute the transfer task;

[0024] Customized transfer rules: warehouse managers can customize transfer trigger rules based on the multiple of backlog quantity and average daily package building quantity. When the preset conditions are met, a transfer task is generated and sent to the corresponding warehouse.

[0025] Preferably, the formula for automatically calculating the actual distance based on the longitude and latitude of the map is:

[0026]

[0027] f is the actual distance value calculated, R is the radius of the earth, is the latitude difference between the two points, and the longitude and latitude of the two points are and Δλ is the longitude difference between two points, cos is the cosine function, sin is 2 is the square of the sine function;

[0028] The formula for calculating transportation time is: g=f / v, where v is the transportation speed and f is the length between two points. By calculating the transportation time of each route, the warehouse keeper can choose the best allocation route.

[0029] Preferably, time-refined management is achieved by creating an intuitive user interface, where the warehouse keeper enters the start and end time of the transfer task, and uses the scheduled task framework to trigger the execution of the transfer task at the specified start time. During the task execution process, the progress and time of the task are continuously monitored. If the task is not completed near the end time, a reminder notification is sent to the warehouse keeper so that appropriate measures can be taken.

[0030] Preferably, the intelligent transfer monitoring module generates a transfer order based on inventory data and transfer configuration. During the generation process, it comprehensively considers factors such as inventory quantity, backlog quantity and transfer distance, and ensures the rationality and efficiency of the transfer task based on intelligent algorithms. After the transfer order is generated, the system automatically sends the task to the transfer warehouse and notifies the warehouse keeper to perform the transfer operation; monitors the transfer execution status in real time, records the execution log of the transfer order, and the administrator queries the execution status of the transfer order and detailed transfer track information based on the intelligent transfer cockpit monitoring APP.

[0031] Preferably, the inventory turnover rate formula of the transfer report module is: TR = g / L, where TR is the inventory turnover rate, g is the cost of transferring environmentally friendly bags, and L is the average inventory balance. The management efficiency of environmentally friendly bags in the inventory can be understood through the inventory turnover rate;

[0032] The calculation formula for transfer efficiency is: O = (P / U) * 100%, where O is the transfer efficiency, P is the number of completed transfer tasks, and U is the total transfer task volume. The formula reflects whether the transfer task is completed according to the calculation;

[0033] The key indicator formula for transportation cost is: W = (X / y), where W is the cost of allocation, X is the total allocation cost, and y is the total amount of allocated eco-friendly bags; based on the above indicators, the allocation situation can be understood.

[0034] Preferably, the custom module adjustment situations include manual intervention in large-scale promotional activities and urgent needs, and the intervention measures include modifying the allocation configuration, suspending and resuming the execution of tasks, adjusting the backlog and gap configurations, and optimizing the allocation routes.

[0035] A method for intelligently generating a transfer order, comprising the following steps:

[0036] S1. Obtain the existing inventory of each central warehouse, the quantity transferred to the warehouse but not put into the warehouse, the quantity transferred but not sent out, and the inventory related to the average daily package building quantity to calculate the backlog;

[0037] S2. The warehouse keeper sets the transfer relationship between warehouses, which can be one-to-many or many-to-many, and configures the effective time point of the intelligent transfer.

[0038] S3. Based on the configured transfer conditions, the transfer is triggered when the backlog of the outgoing warehouse exceeds the threshold and the shortfall of the incoming warehouse reaches the threshold. Combined with the transfer configuration, including distance and route, the optimal transfer task is intelligently generated;

[0039] S4. Generate transfer analysis report, analyze intelligent transfer results, and optimize transfer configuration.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] The intelligent allocation system can automatically process inventory data and allocation instructions without manual operation, greatly improving processing speed and accuracy. In comparison, manual allocation has high communication costs, large workload and is prone to data errors.

[0042] Through real-time monitoring of inventory status and intelligent analysis, the system can accurately predict inventory demand and trigger transfer instructions in a timely manner to ensure that inventory resources are used reasonably and effectively. Manual transfer is often difficult to achieve real-time monitoring and accurate prediction.

[0043] The intelligent allocation system can comprehensively consider the inventory status, transportation costs, and customer demand factors of multiple warehouses or inventory points, and automatically plan the optimal allocation path and plan, which helps to achieve optimal allocation of inventory resources and improve overall operational efficiency.

[0044] Through precise calculation and intelligent allocation, the system can reduce inventory backlogs and out-of-stock situations, and lower the additional costs caused by excess or shortage inventory. Manual allocation often makes it difficult to achieve this level of accuracy.

[0045] The intelligent allocation system reduces reliance on manual operators and reduces labor costs. At the same time, the system can automatically process large amounts of data, avoiding errors and delays caused by human factors. By optimizing transportation routes and methods, the system can reduce transportation costs. Manual allocation often makes it difficult to achieve fine control over transportation costs.

[0046] The intelligent allocation system provides rich data reports and analysis functions, which can deeply explore the data value in the inventory allocation process and provide decision-making support for enterprise management. Through data analysis, management can more accurately understand inventory status, market demand and allocation effects, thereby formulating more scientific and reasonable inventory allocation strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a framework diagram of the transfer order system of the present invention;

[0048] Figure 2 The present invention is a flowchart of the steps for implementing intelligent allocation of allocation orders. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] See also Figure 1The present invention provides a technical solution: a system for intelligently generating a transfer order, comprising an inventory calculation module, an intelligent inventory early warning module, a transfer configuration module, an intelligent transfer monitoring module, a transfer report module and a custom module;

[0051] The inventory calculation module integrates existing inventory data, automatically records and updates inventory data after inventory changes occur, and makes decisions for subsequent inventory management;

[0052] The intelligent inventory warning module sets the warning function. Based on the set inventory warning threshold, when the inventory calculation module obtains that the inventory volume has reached below the threshold, it sends a warning notification and adjusts the inventory strategy to ensure information transmission;

[0053] The transfer configuration module flexibly configures routes based on distance optimization, manages time in a refined manner, customizes transfer rules, performs automated and precise intelligent transfer processing, and generates intelligent transfer orders;

[0054] The intelligent transfer monitoring module generates a transfer order based on the transfer configuration module. After the transfer order is generated, it automatically sends the task to the transfer-out warehouse, notifies the warehouse keeper to perform the transfer operation, monitors the transfer execution status in real time, records the transfer order execution log, and issues an alarm to notify the warehouse keeper if an abnormality is found.

[0055] The transfer report module helps administrators fully understand the operation of transfer business by conducting in-depth analysis on key indicators such as inventory turnover rate, transfer efficiency and transportation cost;

[0056] The custom module is used for users to manually intervene in and adjust the allocation configuration.

[0057] This application integrates existing inventory data, ensures centralized management and consistency of inventory information, avoids confusion and errors caused by data being scattered in different systems or tables, and automatically records and updates when inventory changes, allowing companies to keep abreast of the latest inventory status and provide an accurate data basis for decision-making. Whether it is procurement planning, sales arrangements or production scheduling, it can be based on the most accurate inventory information, greatly reducing the risk of production interruptions, sales shortages or inventory backlogs caused by inaccurate inventory data of environmentally friendly bags;

[0058] By setting warning thresholds, early warning notifications can be issued in a timely manner when inventory levels reach a dangerous point. This allows companies to prepare in advance to avoid production delays, sales losses, or decreased customer satisfaction caused by insufficient inventory. At the same time, it also helps prevent capital occupation and increased storage costs caused by excessive inventory.

[0059] Based on distance optimization route configuration, the most economical and fastest allocation route can be selected to reduce transportation costs and time costs. Through refined time management and customized allocation rules, enterprises can reasonably arrange allocation time and batches according to actual needs, improve transportation efficiency, and reduce inventory turnover time, thereby optimizing resource allocation and improving the overall operational efficiency of the enterprise.

[0060] The inventory calculation module integrates inventory data including existing inventory, incoming inventory, outgoing inventory, daily average usage and in-transit core data, presenting users with a comprehensive inventory status view and supporting flexible and diverse query conditions, including time range, warehouse location and logistics direction, and focusing on inventory changes at key operation nodes to ensure the real-time and accuracy of data. Whenever inventory changes, it will automatically record and update inventory data, providing a data basis for subsequent inventory management and transfer decisions; the backlog in the inventory guides the direction and scale of transfer, and the backlog calculation formula is:

[0061] A=B+Dch*e

[0062] Among them, A is the extrusion volume, B is the existing inventory in the warehouse, D is the incoming volume, c is the outgoing volume, h is the average daily usage, and e is the base number, which is a configurable multiple.

[0063] This application supports query conditions of time range, warehouse location and logistics direction, so that users can accurately filter data according to different needs and analysis purposes. Query by time range can analyze the inventory change trend within a specific time period, understand the inventory fluctuations in different seasons, months or promotional activities, and provide a basis for enterprises to formulate seasonal marketing strategies or inventory management strategies. Through warehouse location query, warehouses in different regions can be analyzed separately to understand the inventory distribution and sales situation in each region in order to optimize warehouse layout and allocate resources. According to the logistics direction query, the flow of goods can be tracked, the efficiency and cost of different logistics channels can be analyzed, and data support can be provided for optimizing logistics solutions.

[0064] The intelligent inventory warning module sets the inventory warning threshold according to business needs. When the inventory reaches or falls below this threshold, the intelligent inventory warning module immediately sends a warning notification to the warehouse keeper through email, SMS and system message channels. The warning information is detailed, including the current inventory, warning level and recommended response measures, helping warehouse managers to respond quickly, adjust inventory strategies, and ensure stable operation of the supply chain; the warning threshold is established based on the fixed cycle method, and the historical demand data of environmentally friendly bags is obtained. The replenishment cycle of environmentally friendly bags is set to T. During the replenishment cycle, the demand for environmentally friendly bags is Q, the standard deviation is α, and the safety factor is k. The calculation formula for the demand Q of environmentally friendly bags is:

[0065]

[0066] Where n is the number of replenishment cycles counted, Q i is the demand for eco-friendly bags in the i-th replenishment cycle;

[0067] The calculation formula of standard deviation α is:

[0068]

[0069] The formula reflects the degree of fluctuation in the demand for eco-friendly bags;

[0070] Inventory warning threshold G=Q+kα; the inventory warning threshold is calculated by the formula.

[0071] This application sets the replenishment cycle of environmentally friendly bags through the fixed cycle method to establish an early warning threshold, and can accurately predict when replenishment is needed based on historical demand data. This allows companies to make replenishment preparations in advance when the inventory of environmentally friendly bags is about to be insufficient to avoid out-of-stock situations. Historical data shows that the replenishment cycle of environmentally friendly bags is once a month. When this cycle is approaching and the inventory is close to the early warning threshold, the system will promptly remind replenishment to ensure a continuous supply of environmentally friendly bags. Reasonable replenishment cycle settings help avoid over-purchasing. Since the early warning threshold is established based on past rules, it will not blindly purchase in large quantities, but control inventory levels based on the actual sales or usage rhythm, thereby reducing the backlog of environmentally friendly bags in the warehouse and effectively utilizing warehouse space and funds.

[0072] Distance optimization in the transfer configuration module provides warehouse managers with a basis for optimizing transfer paths by manually setting the transfer distance between warehouses and automatically calculating the actual distance based on the longitude and latitude of the map;

[0073] Flexible route configuration supports one-to-one and one-to-many route configuration. Warehouse managers can set up transfer routes between incoming warehouses and outgoing warehouses according to demand. It also supports multiple route selection, automatically calculates route length and estimated transportation time, and selects the best transfer route.

[0074] Fine-grained time management: set the start and end time of the transfer task, execute the task within a reasonable time period, provide a scheduled transfer function, set the daily transfer time, and let the transfer configuration module automatically execute the transfer task;

[0075] Customized transfer rules: warehouse managers can customize transfer trigger rules based on the multiple of backlog quantity and average daily package building quantity. When the preset conditions are met, a transfer task is generated and sent to the corresponding warehouse.

[0076] This application provides accurate distance information to warehouse managers by manually setting and automatically calculating the distance between warehouses, so that they can choose the shortest or most economical transportation route, which helps to reduce transportation time, speed up allocation, enable environmentally friendly bags to reach the destination warehouse faster, and improve the response speed of the entire supply chain;

[0077] Warehouse keepers can customize transfer trigger rules based on the backlog quantity and the multiple conditions of the average daily packaging quantity. This flexibility enables the rules to be adjusted according to the actual inventory situation and business needs. When the backlog quantity is too high or too low, or the average daily packaging quantity changes, the corresponding transfer tasks can be triggered in time, allowing inventory management to quickly adapt to market changes and adjustments to internal business processes.

[0078] The formula for automatically calculating the actual distance based on the longitude and latitude of the map is:

[0079]

[0080] f is the actual distance value calculated, R is the radius of the earth, is the latitude difference between the two points, and the longitude and latitude of the two points are and Δλ is the longitude difference between two points, cos is the cosine function, sin is 2 is the square of the sine function;

[0081] The formula for calculating transportation time is: g=f / v, where v is the transportation speed and f is the length between two points. By calculating the transportation time of each route, the warehouse keeper can choose the best allocation route.

[0082] Refined time management creates an intuitive user interface for warehouse managers to input the start and end time of the transfer task, and use the scheduled task framework to trigger the execution of the transfer task at the specified start time. During the task execution process, the progress and time of the task are continuously monitored. If the task is not completed when the end time is approaching, a reminder notification is sent to the warehouse manager so that appropriate measures can be taken.

[0083] This application accumulates a large amount of data on the execution of allocation tasks by monitoring the progress and time of tasks. These data can provide decision-making support for warehouse managers, analyze the completion of allocation tasks in different time periods, different routes or different types of goods, and find out existing problems and optimization space. Based on these data, warehouse managers can formulate more scientific allocation plans and time arrangements to improve the quality of decision-making.

[0084] The intelligent transfer monitoring module generates transfer orders based on inventory data and transfer configurations. During the generation process, it comprehensively considers factors such as inventory volume, backlog volume and transfer distance, and ensures the rationality and efficiency of transfer tasks based on intelligent algorithms. After the transfer order is generated, the system automatically sends the task to the transfer warehouse and notifies the warehouse keeper to perform the transfer operation; it monitors the transfer execution status in real time and records the execution log of the transfer order. The administrator can query the execution status of the transfer order and detailed transfer track information based on the intelligent transfer cockpit monitoring APP.

[0085] This application comprehensively considers factors such as inventory quantity, backlog quantity and transfer distance when generating transfer orders, and uses intelligent algorithms to ensure the rationality and efficiency of the task. This means that the transfer decision is not based on a single factor, but a comprehensive balance of the distribution of inventory resources and transfer costs. By giving priority to backlog inventory and considering distance factors to select the optimal transfer warehouse, it can effectively reduce inventory backlogs, reduce transportation costs, and improve inventory turnover.

[0086] The inventory turnover rate formula of the transfer report module is: TR = g / L, where TR is the inventory turnover rate, g is the cost of transferring environmentally friendly bags, and L is the average inventory balance. The management efficiency of environmentally friendly bags in the inventory can be understood through the inventory turnover rate;

[0087] The calculation formula for transfer efficiency is: O = (P / U) * 100%, where O is the transfer efficiency, P is the number of completed transfer tasks, and U is the total transfer task volume. The formula reflects whether the transfer task is completed according to the calculation;

[0088] The key indicator formula for transportation cost is: W = (X / y), where W is the cost of allocation, X is the total allocation cost, and y is the total amount of allocated eco-friendly bags; based on the above indicators, the allocation situation can be understood.

[0089] Custom module adjustments include manual intervention during major promotions and urgent needs. Intervention measures include modifying allocation configurations, suspending and resuming task execution, adjusting backlog and gap configurations, and optimizing allocation routes.

[0090] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0091] See also Figure 2 The present invention provides a technical solution: a method for intelligently generating a transfer order, the steps are:

[0092] S1. Obtain the existing inventory of each central warehouse, the quantity transferred to the warehouse but not put into the warehouse, the quantity transferred but not sent out, and the inventory related to the average daily package building quantity to calculate the backlog;

[0093] S2. The warehouse keeper sets the transfer relationship between warehouses, which can be one-to-many or many-to-many, and configures the effective time point of the intelligent transfer.

[0094] S3. Based on the configured transfer conditions, the transfer is triggered when the backlog of the outgoing warehouse exceeds the threshold and the shortfall of the incoming warehouse reaches the threshold. Combined with the transfer configuration, including distance and route, the optimal transfer task is intelligently generated;

[0095] S4. Generate transfer analysis report, analyze intelligent transfer results, and optimize transfer configuration.

[0096] This application calculates the backlog by obtaining data related to the existing inventory of each central warehouse, the amount transferred to the warehouse but not put into the warehouse, the amount transferred but not sent out, and the average daily package building volume. The enterprise can fully and accurately understand the actual inventory situation, which not only includes the actual quantity of goods stored in the current warehouse, but also covers the quantity of goods at different stages in the transfer process. The transfer is triggered based on the condition that the backlog of the transferred-out warehouse exceeds the threshold and the gap of the transferred-in warehouse reaches the threshold, and the optimal transfer task is intelligently generated based on the distance and line transfer configuration factors. This method ensures the scientificity and rationality of the transfer decision.

Claims

1. A system for intelligently generating a transfer order, characterized in that: Including inventory calculation module, intelligent inventory warning module, transfer configuration module, intelligent transfer monitoring module, transfer report module and custom module; The inventory calculation module integrates existing inventory data, automatically records and updates inventory data after inventory changes occur, and makes decisions for subsequent inventory management; The intelligent inventory warning module sets the warning function. Based on the set inventory warning threshold, when the inventory calculation module obtains that the inventory volume has reached below the threshold, it sends a warning notification and adjusts the inventory strategy to ensure information transmission; The transfer configuration module flexibly configures routes based on distance optimization, manages time in a refined manner, customizes transfer rules, performs automated and precise intelligent transfer processing, and generates intelligent transfer orders; The intelligent transfer monitoring module generates a transfer order based on the transfer configuration module. After the transfer order is generated, it automatically sends the task to the transfer-out warehouse, notifies the warehouse keeper to perform the transfer operation, monitors the transfer execution status in real time, records the transfer order execution log, and issues an alarm to notify the warehouse keeper if an abnormality is found. The transfer report module helps administrators fully understand the operation of transfer business by conducting in-depth analysis on key indicators such as inventory turnover rate, transfer efficiency and transportation cost; The custom module is used for users to manually intervene in and adjust the allocation configuration.

2. A system for intelligently generating a transfer order according to claim 1, characterized in that: The inventory calculation module integrates inventory data including existing inventory, incoming inventory, outgoing inventory, daily average usage and in-transit core data, presenting users with a comprehensive inventory status view and supporting flexible and diverse query conditions, including time range, warehouse location and logistics direction, and focusing on inventory changes at key operation nodes to ensure the real-time and accuracy of data. Whenever inventory changes, it will automatically record and update inventory data, providing a data basis for subsequent inventory management and transfer decisions; the backlog in the inventory guides the direction and scale of transfer, and the backlog calculation formula is: A=B+Dch*e Among them, A is the extrusion volume, B is the existing inventory in the warehouse, D is the incoming volume, c is the outgoing volume, h is the average daily usage, and e is the base number, which is a configurable multiple.

3. A system for intelligently generating a transfer order according to claim 1, characterized in that: The intelligent inventory warning module sets the inventory warning threshold according to business needs. When the inventory reaches or falls below this threshold, the intelligent inventory warning module immediately sends warning notifications to warehouse managers through emails, SMS and system message channels. The warning information is detailed, including the current inventory level, warning level and recommended response measures, helping warehouse managers to respond quickly, adjust inventory strategies and ensure stable operation of the supply chain. The warning threshold is established based on the fixed cycle method. The historical demand data of environmentally friendly bags is obtained, and the replenishment cycle of environmentally friendly bags is set to T. During the replenishment cycle, the demand for environmentally friendly bags is Q, the standard deviation is α, and the safety factor is k. The calculation formula for the demand Q of environmentally friendly bags is: Where n is the number of replenishment cycles counted, Q i is the demand for eco-friendly bags in the i-th replenishment cycle; The calculation formula of standard deviation α is: The formula reflects the degree of fluctuation in the demand for eco-friendly bags; Inventory warning threshold G=Q+kα; the inventory warning threshold is calculated by the formula.

4. A system for intelligently generating a transfer order according to claim 1, characterized in that: Distance optimization in the transfer configuration module provides warehouse managers with a basis for optimizing transfer paths by manually setting the transfer distance between warehouses and automatically calculating the actual distance based on the longitude and latitude of the map; Flexible route configuration supports one-to-one and one-to-many route configuration. Warehouse managers can set up transfer routes between incoming warehouses and outgoing warehouses according to demand. It also supports multiple route selection, automatically calculates route length and estimated transportation time, and selects the best transfer route. Fine-grained time management: set the start and end time of the transfer task, execute the task within a reasonable time period, provide a scheduled transfer function, set the daily transfer time, and let the transfer configuration module automatically execute the transfer task; Customized transfer rules: warehouse managers can customize transfer trigger rules based on the multiples of the backlog quantity and the average daily packaging quantity. When the preset conditions are met, a transfer task is generated and sent to the corresponding warehouse.

5. A system for intelligently generating a transfer order according to claim 4, characterized in that: The formula for automatically calculating the actual distance based on the longitude and latitude of the map is: f is the actual distance value calculated, R is the radius of the earth, is the latitude difference between the two points, and the longitude and latitude of the two points are and Δλ is the longitude difference between two points, cos is the cosine function, sin is 2 is the square of the sine function; The formula for calculating transportation time is: g=f / v, where v is the transportation speed and f is the length between two points. By calculating the transportation time of each route, the warehouse keeper can choose the best allocation route.

6. A system for intelligently generating a transfer order according to claim 4, characterized in that: Refined time management creates an intuitive user interface for warehouse managers to input the start and end time of the transfer task, and use the scheduled task framework to trigger the execution of the transfer task at the specified start time. During the task execution process, the progress and time of the task are continuously monitored. If the task is not completed when the end time is approaching, a reminder notification is sent to the warehouse manager so that appropriate measures can be taken.

7. A system for intelligently generating a transfer order according to claim 1, characterized in that: The intelligent transfer monitoring module generates transfer orders based on inventory data and transfer configurations. During the generation process, it comprehensively considers factors such as inventory volume, backlog volume and transfer distance, and ensures the rationality and efficiency of transfer tasks based on intelligent algorithms. After the transfer order is generated, the system automatically sends the task to the transfer warehouse and notifies the warehouse keeper to perform the transfer operation; it monitors the transfer execution status in real time and records the execution log of the transfer order. The administrator can query the execution status of the transfer order and detailed transfer track information based on the intelligent transfer cockpit monitoring APP.

8. A system for intelligently generating a transfer order according to claim 1, characterized in that: The inventory turnover rate formula of the transfer report module is: TR = g / L, where TR is the inventory turnover rate, g is the cost of transferring environmentally friendly bags, and L is the average inventory balance. The management efficiency of environmentally friendly bags in the inventory can be understood through the inventory turnover rate; The calculation formula for transfer efficiency is: O = (P / U) * 100%, where O is the transfer efficiency, P is the number of completed transfer tasks, and U is the total transfer task volume. The formula reflects whether the transfer task is completed according to the calculation; The key indicator formula for transportation cost is: W = (X / y), where W is the cost of allocation, X is the total allocation cost, and y is the total amount of allocated eco-friendly bags; based on the above indicators, the allocation situation can be understood.

9. A system for intelligently generating a transfer order according to claim 1, characterized in that: Custom module adjustments include manual intervention during major promotions and urgent needs. Intervention measures include modifying allocation configurations, suspending and resuming task execution, adjusting backlog and gap configurations, and optimizing allocation routes.

10. A method for intelligently generating a transfer order, characterized in that: The steps are: S1. Obtain the existing inventory of each central warehouse, the quantity transferred to the warehouse but not put into the warehouse, the quantity transferred but not sent out, and the inventory related to the average daily package building quantity to calculate the backlog; S2. The warehouse keeper sets the transfer relationship between warehouses, which can be one-to-many or many-to-many, and configures the effective time point of the intelligent transfer. S3. Based on the configured transfer conditions, the transfer is triggered when the backlog of the outgoing warehouse exceeds the threshold and the shortfall of the incoming warehouse reaches the threshold. Combined with the transfer configuration, including distance and route, the optimal transfer task is intelligently generated; S4. Generate transfer analysis report, analyze intelligent transfer results, and optimize transfer configuration.

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