Intelligent inventory replenishment method and related equipment
Through the intelligent inventory replenishment method, data is used to predict replenishment demand and automatically formulate replenishment strategies, the problem of difficult to accurately predict inventory management in the existing technology is solved, and efficient inventory management and reduced operating costs are achieved.
Patent Information
- Application Number
- CN202510075235.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-17
- Publication Date
- 2025-06-06
AI Technical Summary
The existing inventory management system is difficult to accurately predict replenishment demand, resulting in frequent stock backlogs or out-of-stock. The automatic replenishment system relies on a large amount of manual intervention, making it difficult to cope with the complex and changing market environment.
The intelligent inventory replenishment method is adopted to collect inventory data and predict replenishment demand based on factors such as historical sales data, market trends, etc. When the demand reaches the threshold, a replenishment strategy is automatically formulated, and the purchase volume and shipment volume are dynamically adjusted according to the local ordinary model and the overseas warehouse transfer model.
It has achieved accurate prediction of replenishment demand, reduced the risks of inventory backlog and out of stock, improved inventory turnover rate and supply chain management efficiency, and reduced operating costs.
Smart Images
Figure CN120106733A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of intelligent inventory management, and in particular to an intelligent inventory replenishment method and related equipment. Background Art
[0002] Inventory management is an important part of the modern supply chain system, especially in the e-commerce and retail industries. With the continuous development of global trade, companies need to efficiently manage and optimize global inventory to ensure that goods can meet market demand in a timely manner while reducing backlogs and out-of-stock phenomena. Reasonable inventory management can not only improve customer satisfaction, but also effectively reduce operating costs and improve the market competitiveness of enterprises.
[0003] Currently, most people use manual replenishment methods to formulate replenishment plans based on historical sales data and human experience. This method is simple and easy to implement, but it is inadequate in the face of rapidly changing market demands and can easily lead to excess or shortage of inventory. The automatic replenishment system based on the rule engine can achieve a certain degree of automated management by setting certain thresholds and conditions to trigger replenishment operations, but it still requires a lot of manual intervention to adjust parameter settings, which is difficult to cope with complex and changing actual environments.
[0004] Therefore, how to design a system that can accurately predict replenishment demand and automatically formulate replenishment strategies is a technical problem that needs to be solved urgently. Summary of the invention
[0005] The purpose of this application is to overcome the above-mentioned technical problems and provide an intelligent inventory replenishment method and related equipment that can accurately predict replenishment needs and automatically formulate replenishment strategies to effectively reduce inventory backlogs and out-of-stock risks and improve supply chain management efficiency.
[0006] In a first aspect, an embodiment of the present application discloses an intelligent inventory replenishment method, which adopts the following scheme: A smart inventory replenishment method, comprising: collecting inventory data; predicting replenishment demand based on the inventory data, and formulating a replenishment strategy when the replenishment demand reaches a replenishment threshold; obtaining a purchase volume and a shipment volume under different modes based on the replenishment strategy, the different modes including a local ordinary mode and an overseas warehouse transit mode; wherein the purchase volume corresponds to the inventory volume that arrives and is consumed within a stocking time, and the shipment volume includes a local shipment volume and an overseas shipment volume, and corresponds to the inventory volume that arrives and is consumed within a local / overseas warehouse to FBA time limit + safety days + replenishment frequency.
[0007] By adopting the above technical solution, it is possible to accurately predict replenishment demand and dynamically adjust the purchase and delivery volume according to the actual operation conditions under different modes, thereby effectively avoiding inventory backlogs or out-of-stock phenomena and improving inventory turnover. At the same time, this method improves the scientificity and reliability of replenishment decisions by comprehensively considering multiple influencing factors, reduces operating costs, and improves the overall efficiency of the supply chain.
[0008] Optionally, the purchase quantity in the local normal mode and the overseas warehouse transit mode are calculated by the following formula: Purchase quantity = preparation time × preset daily sales volume - (FBA inventory + FBA in-transit quantity + overseas warehouse in-transit quantity + overseas warehouse available quantity + local available quantity + quantity to be inspected + quantity to be delivered + local warehouse in-transit quantity + purchase plan quantity).
[0009] By adopting the above technical solution, the purchase volume in the local normal mode and the overseas warehouse transit mode can be accurately calculated. This calculation method takes into account multiple influencing factors, including the preparation time, the preset daily sales volume, and the various existing inventory statuses, ensuring the accuracy and rationality of the purchase volume. This can effectively avoid the risk of out-of-stock due to insufficient inventory, while reducing the capital occupation and inventory backlog caused by excessive purchases. Further improve the efficiency and accuracy of inventory management.
[0010] Optionally, the stocking time is calculated by the following formula: Preparation time = procurement planning time + procurement delivery time + quality inspection days + local warehouse to FBA delivery time + safety days + replenishment frequency.
[0011] By adopting the above technical solutions, the preparation time can be accurately calculated to ensure the efficiency and accuracy of inventory management. Specifically: by calculating the purchase plan time, the time from determining the purchase demand to the actual order placement can be calculated, ensuring the flexibility of the supply chain. By calculating the purchase delivery time, the supplier's delivery time can be covered to avoid inventory shortages due to supply delays. By calculating the quality inspection days, the time required for quality inspection can be reserved to ensure that the product quality meets the standards. By calculating the delivery time from the local warehouse to FBA, the time for transporting goods from the local warehouse to the FBA warehouse can be considered to ensure the logistics time. By calculating the safety days, the buffer time can be increased to deal with emergencies and improve the flexibility and reliability of the system. By calculating the replenishment frequency, the replenishment cycle can be adjusted according to the actual situation to optimize the inventory turnover rate. In this way, through the combined effect of these factors, the preparation time is more reasonable, thereby effectively reducing inventory backlogs and out-of-stock risks, and improving customer satisfaction and service levels.
[0012] Optionally, in the local normal mode, the local delivery volume is the FBA delivery volume from the local warehouse, which is calculated by the following formula: FBA delivery volume from the local warehouse = (delivery time from local warehouse to FBA + safety days + replenishment frequency) × preset daily sales volume - (FBA inventory + FBA in-transit volume + overseas warehouse in-transit volume + overseas warehouse available volume).
[0013] By adopting the above technical solution, the inventory volume to be sent to FBA in the local warehouse during the stocking period can be accurately assessed, so that operators can adjust the inventory volume in advance to adapt to market changes.
[0014] Optionally, in the local normal mode and the overseas warehouse transit mode, the overseas shipment volume is the FBA volume shipped from the overseas warehouse, which is calculated by the following formula: FBA volume shipped from the overseas warehouse = (shipping time from the overseas warehouse to FBA + safety days + replenishment frequency) × preset daily sales volume - (FBA inventory + FBA in-transit volume).
[0015] By adopting the above technical solution, the overseas warehouse FBA volume can be accurately calculated to ensure that the replenishment demand can be accurately met in different modes, reducing the cost waste caused by insufficient or excessive inventory. At the same time, the formula takes into account a variety of factors, such as delivery time, safety days and replenishment frequency, to calculate the total sales volume during the preparation period, and then subtract the current FBA inventory situation to obtain a more accurate overseas warehouse FBA volume.
[0016] Optionally, in the overseas warehouse transit mode, the local shipment volume is the volume shipped from the local warehouse to the overseas warehouse, which is calculated by the following formula: The quantity shipped from local warehouse to overseas warehouse = (shipping time from local warehouse to overseas warehouse + shipping time from overseas warehouse to FBA + safety days + replenishment frequency) × preset daily sales - (FBA inventory + FBA in-transit quantity + overseas warehouse in-transit quantity + overseas warehouse available quantity).
[0017] By adopting the above technical solution, through comprehensive consideration of multiple factors (such as the shipping time from the local warehouse to the overseas warehouse, the shipping time from the overseas warehouse to FBA, safety days, preset daily sales, replenishment frequency, FBA inventory, FBA in-transit quantity, overseas warehouse in-transit quantity, and overseas warehouse available quantity), the shipment volume that the local warehouse needs to send to FBA during the preparation period can be accurately calculated, reducing inventory backlogs or out-of-stock problems caused by inaccurate estimates, allowing the entire supply chain to respond to changes in market demand more quickly, and enhancing the company's market competitiveness.
[0018] Optionally, predicting replenishment demand based on the inventory data and formulating a replenishment strategy when the replenishment demand reaches a replenishment threshold specifically includes: inputting the inventory data into a replenishment model to perform demand forecasting to obtain the replenishment demand; wherein the replenishment model predicts the replenishment demand based on historical sales data, preset marketing activities, holidays and economic trends; determining whether the replenishment demand reaches the replenishment threshold, and if so, executing an operation of formulating a replenishment strategy and issuing an early warning instruction for early warning.
[0019] By adopting the above technical solutions, it is possible to accurately predict replenishment demand and improve inventory management efficiency. Specifically: by inputting inventory data into the replenishment model for demand forecasting, the model comprehensively considers factors such as historical sales data, preset marketing activities, holidays and economic trends, making the forecast results more accurate and reducing demand forecast errors caused by human factors. When it is judged that the replenishment demand reaches the replenishment threshold, the system will automatically execute the operation of formulating a replenishment strategy and issue an early warning instruction for early warning. This not only improves the response speed to market changes, but also makes full preparations before the peak of demand arrives to avoid out-of-stock or overstock situations.
[0020] In a second aspect, another embodiment of the present application discloses an intelligent inventory replenishment system, which adopts the following scheme: An intelligent inventory replenishment system comprises: a collection module for collecting inventory data; a demand prediction module for predicting replenishment demand based on the inventory data, and formulating a replenishment strategy when the replenishment demand reaches a replenishment threshold; an acquisition module for obtaining purchase volume and shipment volume under different modes based on the replenishment strategy, wherein the different modes include a local ordinary mode and an overseas warehouse transit mode; wherein the purchase volume corresponds to the inventory volume that arrives and is consumed within the stocking time, and the shipment volume includes a local shipment volume and an overseas shipment volume, and corresponds to the inventory volume that arrives and is consumed within the local / overseas warehouse to FBA time limit + safety days + replenishment frequency.
[0021] By adopting the above technical solutions, the intelligent level of inventory management can be effectively improved, ensuring accurate prediction of replenishment demand and timely formulation of reasonable replenishment strategies under various logistics modes. This method combines various factors within the preparation time to obtain the purchase volume and delivery volume under different modes, ensuring that the inventory level is always in the optimal state, reducing inventory backlogs and out-of-stock risks, and improving customer satisfaction and operational efficiency.
[0022] In a third aspect, another embodiment of the present application discloses an electronic device, which adopts the following solution: An electronic device comprises: a memory for storing a computer program; and a processor for implementing the steps of any one of the above-mentioned intelligent inventory replenishment methods when executing the computer program.
[0023] In a fourth aspect, another embodiment of the present application discloses a computer-readable storage medium, which adopts the following scheme: A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of an intelligent inventory replenishment method as described in any one of the above.
[0024] In summary, the present application includes at least one of the following beneficial technical effects: 1. By collecting inventory data and predicting replenishment needs based on the data, it is possible to accurately determine when and how to replenish in a rapidly changing market environment, thereby effectively avoiding inventory backlogs or out-of-stock problems caused by lack of human experience; 2. Automatically formulate replenishment strategies when replenishment demand reaches the preset threshold, reducing the need for manual intervention, improving the speed and accuracy of replenishment decisions, and improving the overall supply chain operation efficiency; 3. It provides two different replenishment modes (local normal mode and overseas warehouse transit mode), and accurately calculates the corresponding purchase and delivery volumes for each mode, which not only meets the needs of different business scenarios, but also ensures the best use of resources and reduces operating costs. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 A flowchart of an intelligent inventory replenishment method disclosed in an embodiment of the present application; Figure 2 for Figure 1 A specific flow chart of step S120 in a disclosed intelligent inventory replenishment method; Figure 3 A schematic diagram of the structure of an intelligent inventory replenishment system disclosed in another embodiment of the present application; Figure 4 This is a schematic diagram of the structure of an electronic device disclosed in yet another embodiment of the present application. DETAILED DESCRIPTION
[0026] The present application is further described in detail below in conjunction with the accompanying drawings.
[0027] The embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to make the present application more thorough and complete, and to fully convey the scope of the present application to those skilled in the art.
[0028] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms of "a", "an" and "the" used in this application and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.
[0029] It should be understood that although the terms "first", "second", etc. may be used in the present application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.
[0030] The technical solution of the embodiments of the present application is described in detail below with reference to the accompanying drawings.
[0031] [First embodiment] See also Figure 1 , an intelligent inventory replenishment method disclosed in the first embodiment of the present application includes the following steps: S110, collecting inventory data; Among them, inventory data may include current inventory (FBA (Fulfillment by Amazon, Amazon delivery service) inventory, FBA in-transit inventory, overseas warehouse in-transit inventory, overseas warehouse available inventory), historical sales data, market trend analysis data and supply chain intelligence data, etc. Inventory data is collected from point-of-sale systems, warehouse management systems, supply chain systems, etc. The collection path can be collected from third-party APIs (application programming interfaces), and the data of various systems can be integrated through third parties, or data can be directly extracted from the databases and server logs of each system. Here, the collection path is not limited, as long as the inventory data can be collected.
[0032] S120, predicting replenishment demand based on inventory data, and formulating a replenishment strategy when the replenishment demand reaches a replenishment threshold; Among them, by predicting replenishment demand through inventory data, potential risks of insufficient or excessive inventory can be obtained in a timely manner. In this embodiment, it specifically includes: S121, inputting inventory data into a replenishment model to perform demand forecasting and obtain replenishment demand; The inventory data is input into the replenishment model for demand forecasting, and a comprehensive analysis can be performed using historical sales data, preset marketing activities, holidays, preset economic trends and other factors to more accurately predict future replenishment demand. In this embodiment, the specific algorithm of the replenishment model is not limited.
[0033] S122: Determine whether the replenishment demand reaches the replenishment threshold. If so, execute the operation of formulating a replenishment strategy and issue an early warning instruction for early warning.
[0034] When it is determined that the replenishment demand has reached the replenishment threshold, the system will automatically formulate a replenishment strategy and issue an early warning instruction. This not only improves the response speed to market changes, but also allows for full preparation before the peak demand arrives to avoid shortages or surpluses.
[0035] S130, based on the replenishment strategy, obtaining the purchase quantity and delivery quantity under different modes; Among them, different modes include local ordinary mode and overseas warehouse transit mode. Enterprises can choose local ordinary mode or overseas warehouse transit mode according to different situations, and calculate the corresponding purchasing volume and shipping volume respectively to optimize resource allocation and reduce operating costs.
[0036] The purchase quantity under different modes corresponds to the inventory quantity that arrives and is consumed within the preparation time, so as to accurately calculate the actual demand within the preparation time and avoid excessive purchases that lead to capital occupation or inventory backlogs.
[0037] The shipping volume includes local shipping volume (local warehouse to FBA volume / local warehouse to overseas warehouse volume) and overseas shipping volume (overseas warehouse to FBA volume). The shipping volume corresponds to the inventory that arrives and is consumed within the time limit from local / overseas warehouse to FBA + safety days + replenishment frequency. This can be used to reasonably arrange the shipping volume to ensure that the goods arrive on time and meet market demand.
[0038] Specifically, based on the replenishment strategy, in the local normal mode, the purchase quantity, the local warehouse FBA quantity and the overseas warehouse FBA quantity need to be calculated in sequence; in the overseas warehouse transit mode, the purchase quantity, the local warehouse overseas warehouse quantity and the overseas warehouse FBA quantity need to be calculated in sequence. The specific calculation formula is as follows: In local normal mode, the purchase volume is calculated by the following formula: Purchase quantity = preparation time × preset daily sales volume - (FBA inventory + FBA in-transit quantity + overseas warehouse in-transit quantity + overseas warehouse available quantity + local available quantity + quantity to be inspected + quantity to be delivered + local warehouse in-transit quantity + purchase plan quantity).
[0039] Among them, the preparation time can be directly understood as the time to prepare the goods. The preset daily sales volume is obtained from the historical sales data, for example, the average daily sales value over a period of time. FBA in-transit quantity, overseas warehouse in-transit quantity and local warehouse in-transit quantity can be understood as the quantity of goods in the transportation process. The local available quantity is the quantity of goods that can be directly shipped locally. The quantity to be inspected is the quantity of goods to be tested for quality. The quantity to be delivered is the quantity of goods to be sent to the buyer.
[0040] Specifically, the preparation time can be calculated by the following formula: Preparation time = procurement planning time + procurement delivery time + quality inspection days + local warehouse to FBA delivery time + safety days + replenishment frequency.
[0041] Among them, the duration of the procurement plan can be understood as, for example, once every half month, that is, 15 days. The procurement delivery period is the time from the purchase order date to the supplier delivery date. The quality inspection days are the time for the quality inspection of the goods. The delivery time from the local warehouse to FBA is the time for delivery from the local warehouse to the FBA warehouse. The safety days are the days prepared to prevent the supplier from being unable to supply goods for some reason, for example, one week. The replenishment frequency is, for example, once a week, then the corresponding replenishment frequency is 7.
[0042] In this way, based on the above-mentioned preparation time formula, the preparation time can be accurately calculated, and then the preparation time can be substituted into the formula of the purchase quantity, combined with the various factors considered in the preparation time in the formula of the purchase quantity, such as FBA inventory, in-transit quantity, overseas warehouse status, and local warehouse status, etc., so as to ensure the accuracy and rationality of the replenishment quantity, effectively avoid the occurrence of excess or shortage, and improve inventory management efficiency.
[0043] In local normal mode, the FBA quantity sent from the local warehouse is calculated by the following formula: The amount of FBA shipped from the local warehouse = (the time it takes to ship from the local warehouse to FBA + the number of safety days + the frequency of replenishment) × the preset daily sales volume - (FBA inventory + FBA in-transit quantity + overseas warehouse in-transit quantity + overseas warehouse available quantity).
[0044] The formula takes into account the total sales volume within the delivery time, safety days and replenishment frequency from the local warehouse to FBA, as well as the current FBA inventory, FBA in-transit quantity, overseas warehouse in-transit quantity and overseas warehouse available quantity, so as to comprehensively calculate the inventory quantity to be sent to FBA by the local warehouse during the preparation period, that is, the inventory quantity to be consumed, so that operators can adjust the inventory quantity in advance to adapt to market changes.
[0045] In local normal mode, the FBA quantity shipped from overseas warehouses is calculated by the following formula: The amount of FBA shipped from overseas warehouses = (shipping time from overseas warehouses to FBA + safety days + replenishment frequency) × preset daily sales - (FBA inventory + FBA in-transit quantity).
[0046] Among them, the FBA quantity shipped from overseas warehouses can be accurately calculated to ensure that market demand is met while reducing inventory backlogs. The solution takes into account a variety of influencing factors, such as delivery time, safety days, and replenishment frequency, making the calculation results more accurate and reliable. At the same time, by subtracting the current FBA inventory and FBA in-transit quantity, it avoids the waste of resources caused by duplicate orders and improves the efficiency and accuracy of inventory management.
[0047] In the overseas warehouse transit mode, the calculation formula for the purchase volume is the same as that in the local normal mode, as follows: Purchase quantity = preparation time × preset daily sales volume - (FBA inventory + FBA in-transit quantity + overseas warehouse in-transit quantity + overseas warehouse available quantity + local available quantity + quantity to be inspected + quantity to be delivered + local warehouse in-transit quantity + purchase plan quantity).
[0048] In the overseas warehouse transit mode, the quantity of local warehouses sent to overseas warehouses is calculated by the following formula: The quantity shipped from local warehouse to overseas warehouse = (shipping time from local warehouse to overseas warehouse + shipping time from overseas warehouse to FBA + safety days + replenishment frequency) × preset daily sales - (FBA inventory + FBA in-transit quantity + overseas warehouse in-transit quantity + overseas warehouse available quantity).
[0049] In the overseas warehouse transit mode, the calculation formula for the overseas warehouse FBA quantity is the same as the calculation formula for the overseas warehouse FBA quantity in the local normal mode, as follows: FBA quantity shipped from overseas warehouses = (shipping time from overseas warehouses to FBA + safety days + replenishment frequency) × preset daily sales - (FBA inventory + FBA in-transit quantity) Among them, the calculation under the overseas warehouse transit mode takes into account the time factors from the local warehouse to the overseas warehouse and then to FBA, such as the delivery time from the local warehouse to the overseas warehouse, the delivery time from the overseas warehouse to the FBA, the number of safety days and the replenishment frequency, so as to ensure that the goods can arrive within the expected time and meet market demand. The calculation process also subtracts the existing FBA inventory and FBA in-transit volume (when calculating the local warehouse to overseas warehouse volume, the overseas warehouse in-transit volume and the overseas warehouse available volume are also subtracted), so as to avoid excessive procurement leading to inventory backlog or shortage, and improve inventory turnover.
[0050] In summary, the first embodiment of the present invention discloses an intelligent inventory replenishment method, which can accurately determine when and how to replenish in a rapidly changing market environment by collecting inventory data and predicting replenishment demand based on the data, thereby effectively avoiding inventory backlog or out-of-stock problems caused by insufficient human experience; automatically formulates a replenishment strategy when the replenishment demand reaches a preset threshold, reduces the need for manual intervention, improves the speed and accuracy of replenishment decisions, and improves the operational efficiency of the overall supply chain; provides two different replenishment modes (local ordinary mode and overseas warehouse transit mode), and accurately calculates the corresponding purchase volume and delivery volume for each mode, which not only meets the needs of different business scenarios, but also ensures the best use of resources and reduces operating costs.
[0051] [Second embodiment] See also Figure 2 In the second embodiment of the present application, an intelligent inventory replenishment system is disclosed, which includes: a collection module 210, a demand prediction module 220 and an acquisition module 230.
[0052] Among them, the collection module 210 is used to collect inventory data; the demand prediction module 220 is used to predict the replenishment demand based on the inventory data, and when the replenishment demand reaches the replenishment threshold, a replenishment strategy is formulated; the acquisition module 230 is used to obtain the purchase volume and shipment volume under different modes based on the replenishment strategy, and the different modes include the local normal mode and the overseas warehouse transit mode; wherein, the purchase volume corresponds to the inventory volume that arrives and is consumed within the preparation time, and the shipment volume includes the local shipment volume and the overseas shipment volume, and corresponds to the inventory volume that arrives and is consumed within the local / overseas warehouse to FBA time limit + safety days + replenishment frequency.
[0053] It should be noted that the intelligent inventory replenishment method implemented by the intelligent inventory replenishment system disclosed in the second embodiment of the present application is the same as the first embodiment, so it will not be described in detail here.
[0054] Optionally, the various modules in this embodiment and the above-mentioned other operations or functions are respectively for implementing the methods in the aforementioned embodiments.
[0055] [Third embodiment] See also Figure 3 In the third embodiment of the present application, an electronic device is disclosed, which includes: a memory 310 and a processor 320, the memory 310 is used to store computer programs; the processor 320 is used to implement the steps of an intelligent inventory replenishment method described in the first embodiment when executing the computer program. For details, please refer to the above, so it will not be described in detail here.
[0056] The technical effect of an electronic device provided by this embodiment in actual application is the same as the technical effect of an intelligent inventory replenishment method in the first embodiment.
[0057] [Fourth embodiment] In the fourth embodiment of the present application, a computer-readable storage medium is disclosed. The computer-readable storage medium is, for example, a non-volatile memory, such as: magnetic media (such as hard disks, floppy disks, and tapes), optical media (such as CDROM disks and DVDs), magneto-optical media (such as optical disks), and hardware devices specially constructed to store and execute computer-executable instructions (such as read-only memory (ROM), random access memory (RAM), flash memory, etc.). A computer program is stored on the computer-readable storage medium. The computer-readable storage medium can be used by one or more processors or processing devices to execute the computer program to implement an intelligent inventory replenishment method in the aforementioned embodiment.
[0058] In addition, it can be understood that the aforementioned embodiments are only exemplary descriptions of the present invention. Under the premise that the technical features do not conflict, the structures do not contradict, and the purpose of the present invention is not violated, the technical solutions of the various embodiments can be arbitrarily combined and used in combination.
[0059] In the several embodiments provided by the present invention, it should be understood that the disclosed methods, systems and devices can be implemented in other ways. For example, the modules included in the system described above are only schematic, and the division of modules is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.
[0060] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.
[0061] In addition, each functional unit / module in each embodiment of the present invention may be integrated into one processing unit / module, or each unit / module may exist physically separately, or two or more units / modules may be integrated into one unit / module. The above-mentioned integrated unit / module may be implemented in the form of hardware or in the form of hardware plus software functional units / modules.
[0062] The above-mentioned integrated unit / module implemented in the form of a software functional unit / module can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for enabling one or more processors of a computer device (which can be a personal computer, a server, or a network device, etc.) to perform some steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store program codes.
[0063] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. An intelligent inventory replenishment method, characterized in that: include: Collect inventory data; Predicting replenishment demand based on the inventory data, and formulating a replenishment strategy when the replenishment demand reaches a replenishment threshold; Based on the replenishment strategy, the purchase volume and delivery volume under different modes are obtained, and the different modes include a local ordinary mode and an overseas warehouse transit mode; Among them, the purchase quantity corresponds to the inventory quantity that arrives and is consumed within the preparation time, and the shipment quantity includes local shipment quantity and overseas shipment quantity, and corresponds to the inventory quantity that arrives and is consumed within the local / overseas warehouse to FBA time limit + safety days + replenishment frequency.
2. The method according to claim 1, characterized in that: The purchase volume in the local normal mode and the overseas warehouse transit mode is calculated by the following formula: Purchase quantity = preparation time × preset daily sales volume - (FBA inventory + FBA in-transit quantity + overseas warehouse in-transit quantity + overseas warehouse available quantity + local available quantity + quantity to be inspected + quantity to be delivered + local warehouse in-transit quantity + purchase plan quantity).
3. The method according to claim 2, characterized in that The preparation time is calculated by the following formula: Preparation time = procurement planning time + procurement delivery time + quality inspection days + local warehouse to FBA delivery time + safety days + replenishment frequency.
4. The method according to claim 2, characterized in that: In the local normal mode, the local delivery volume is the FBA volume shipped from the local warehouse, which is calculated by the following formula: The amount of FBA shipped from the local warehouse = (the time it takes to ship from the local warehouse to FBA + the number of safety days + the frequency of replenishment) × the preset daily sales volume - (FBA inventory + FBA in-transit quantity + overseas warehouse in-transit quantity + overseas warehouse available quantity).
5. The method according to claim 4, characterized in that In the local normal mode and the overseas warehouse transit mode, the overseas shipment volume is the overseas warehouse FBA volume, which is calculated by the following formula: The amount of FBA shipped from overseas warehouses = (shipping time from overseas warehouses to FBA + safety days + replenishment frequency) × preset daily sales - (FBA inventory + FBA in-transit quantity).
6. The method according to claim 2, characterized in that In the overseas warehouse transit mode, the local shipment volume is the volume shipped from the local warehouse to the overseas warehouse, which is calculated by the following formula: The quantity shipped from local warehouse to overseas warehouse = (shipping time from local warehouse to overseas warehouse + shipping time from overseas warehouse to FBA + safety days + replenishment frequency) × preset daily sales - (FBA inventory + FBA in-transit quantity + overseas warehouse in-transit quantity + overseas warehouse available quantity).
7. The method according to claim 1, characterized in that The replenishment demand is predicted based on the inventory data, and when the replenishment demand reaches a replenishment threshold, a replenishment strategy is formulated, specifically including: Inputting the inventory data into a replenishment model to perform demand forecasting to obtain the replenishment demand; wherein the replenishment model forecasts the replenishment demand based on historical sales data, preset marketing activities, holidays and economic trends; Determine whether the replenishment demand reaches the replenishment threshold. If so, execute the operation of formulating a replenishment strategy and issue an early warning instruction for early warning.
8. An intelligent inventory replenishment system, characterized in that: include: Collection module, used to collect inventory data; A demand forecasting module, used to forecast replenishment demand based on the inventory data, and formulate a replenishment strategy when the replenishment demand reaches a replenishment threshold; An acquisition module, used to obtain the purchase volume and delivery volume in different modes based on the replenishment strategy, wherein the different modes include a local ordinary mode and an overseas warehouse transit mode; Among them, the purchase quantity corresponds to the inventory quantity that arrives and is consumed within the preparation time, and the shipment quantity includes local shipment quantity and overseas shipment quantity, and corresponds to the inventory quantity that arrives and is consumed within the local / overseas warehouse to FBA time limit + safety days + replenishment frequency.
9. An electronic device, characterized in that: include: Memory for storing computer programs; A processor, configured to implement the steps of the intelligent inventory replenishment method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the intelligent inventory replenishment method according to any one of claims 1 to 7 are implemented.