Product sales analysis method and system based on market research data

Abstract

The invention is suitable for the technical field of product sales management, and provides a product sales analysis method and system based on market research data, and the method comprises the steps: obtaining an initial inventory turnover rate of a target product storage warehouse in a predetermined analysis period, and the historical purchase record of the target product storage warehouse; the influence of logistics and supply chain flexibility on inventory conversion efficiency can be comprehensively quantified, and the influence degree of logistics timeliness on inventory management is accurately evaluated by calculating supply chain response speed deviation parameters; by calculating the flexibility deviation parameter of the supply chain, the efficiency deviation of each link of the supply chain is comprehensively reflected. The combination of the two methods not only improves the accuracy of correcting the initial inventory turnover rate, but also enables the final optimized inventory conversion efficiency to be closer to the actual situation, and compared with a traditional single calculation method, the result is more scientific and reasonable.

Description

Technical Field

[0001] The present invention belongs to the technical field of product sales management, and in particular, relates to a product sales analysis method and system based on market research data. Background Art

[0002] In the current product sales management technology, inventory conversion efficiency, as a core indicator of enterprise supply chain management, has an important impact on the operating costs and market competitiveness of enterprises. Inventory conversion efficiency is directly related to inventory utilization, turnover speed, and the company's ability to respond to changes in market demand. However, the calculation of inventory conversion efficiency in existing technologies is mostly based on fixed models, mainly relying on single historical data or preset standardized indicators, and fails to fully consider the actual impact of dynamic factors such as logistics timeliness and supply chain flexibility on inventory turnover. This calculation method lacks pertinence and adaptability to a certain extent, resulting in inaccurate efficiency evaluation in actual inventory management.

[0003] At present, logistics timeliness and supply chain flexibility, as two key factors affecting inventory conversion efficiency, are difficult to be comprehensively considered in existing technologies. Logistics timeliness reflects the time performance of products from suppliers to storage warehouses and is an important parameter for evaluating the response speed of the supply chain, while supply chain flexibility reflects the adaptability of links such as replenishment, inventory allocation and production response to supply chain operations. However, existing methods usually evaluate these factors in isolation and are unable to quantify their comprehensive impact on inventory conversion efficiency. In addition, due to the lack of interactive analysis capabilities of multi-dimensional data, existing technologies have failed to achieve dynamic corrections to logistics and supply chain flexibility, resulting in a large deviation between the calculated results of inventory conversion efficiency and the actual operating conditions. Summary of the invention

[0004] The purpose of the present invention is to provide a product sales analysis method and system based on market research data, aiming to solve the problems raised in the background technology.

[0005] The present invention is implemented as follows: a product sales analysis method based on market research data, the method comprising:

[0006] Obtaining the initial inventory turnover rate of the target product storage warehouse within a predetermined analysis period, as well as the historical purchase records of the target product storage warehouse;

[0007] According to the historical purchase records of the target product storage warehouse, the actual logistics time required for each batch of the target product is determined, and the supply chain response speed deviation parameter of the target product storage warehouse is calculated based on the actual logistics time required for all batches of the target product;

[0008] According to the historical purchase records of the target product storage warehouse, the actual replenishment cycle, actual inventory allocation cycle and actual production response cycle of the supplier of the target product are obtained, and the supply chain flexibility deviation parameters of the target product storage warehouse are calculated based on these cycles;

[0009] The initial inventory turnover rate is corrected twice by using the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter to obtain the optimized inventory conversion efficiency.

[0010] As a further limitation of the technical solution of the embodiment of the present invention, the historical purchase record includes the delivery time, arrival time, supplier information of each batch of target products, and the supplier's actual replenishment cycle, actual inventory allocation cycle and actual production response cycle;

[0011] Among them, the actual replenishment cycle is obtained by calculating the time difference from the receipt of orders from suppliers to the actual delivery of products for all batches, and taking the average value; the actual inventory allocation cycle is obtained by calculating the time difference from the confirmation of inventory transfer requirements to the actual completion of transfer for all batches in the inventory management system, and taking the average value; the actual production response cycle is obtained by calculating the time difference from the start of production planning to the completion of production and preparation for delivery for all batches, and taking the average value.

[0012] As a further limitation of the technical solution of the embodiment of the present invention, the steps of determining the actual logistics time required for each batch of target products according to the historical procurement records of the target product storage warehouse, and calculating the supply chain response speed deviation parameter of the target product storage warehouse based on the actual logistics time required for all batches of target products include:

[0013] According to the historical purchase records of the target product storage warehouse, the delivery time and arrival time of each batch of target products are obtained, and the actual logistics time required for each batch of target products is calculated based on the delivery time and arrival time of each batch of target products;

[0014] Obtain the standard logistics time corresponding to the target product;

[0015] The supply chain response speed deviation parameter calculation formula is retrieved, and the supply chain response speed deviation parameter of the target product storage warehouse is calculated based on the standard logistics time and the actual logistics time of all batches of target products.

[0016] As a further limitation of the technical solution of the embodiment of the present invention, the supply chain response speed deviation parameter calculation formula is: Among them C response Refers to the supply chain response speed deviation parameter, T i Refers to the actual logistics time required for the i-th batch, T std It refers to the time required for standard logistics, and n refers to the total number of batches.

[0017] As a further limitation of the technical solution of the embodiment of the present invention, the steps of obtaining the actual replenishment cycle, the actual inventory allocation cycle, and the actual production response cycle of the supplier of the target product according to the historical procurement records of the target product storage warehouse, and calculating the supply chain flexibility deviation parameter of the target product storage warehouse based on these cycles include:

[0018] According to the historical purchase records of the target product storage warehouse, the actual replenishment cycle, actual inventory allocation cycle and actual production response cycle of the target product supplier are obtained;

[0019] The supply chain flexibility deviation parameter calculation formula is called, and the corresponding weight is assigned according to the importance of each cycle to calculate the supply chain flexibility deviation parameter of the target product storage warehouse.

[0020] As a further limitation of the technical solution of the embodiment of the present invention, the supply chain flexibility deviation parameter calculation formula is:

[0021]

[0022] Among them C flex refers to the supply chain flexibility deviation parameter; W rep is the weight of the replenishment cycle deviation; W alloc is the weight of inventory allocation cycle deviation; W prod is the weight of the production response cycle deviation; L f is the actual replenishment cycle, S f Indicates the standard replenishment cycle; D f is the actual inventory allocation cycle, T f is the standard inventory allocation cycle; P f is the actual production response cycle, Q f is the standard production response cycle.

[0023] As a further limitation of the technical solution of the embodiment of the present invention, the steps of performing secondary correction on the initial inventory turnover rate by using the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter to obtain the optimized inventory conversion efficiency include:

[0024] Obtaining the calculated supply chain response speed deviation parameter and supply chain flexibility deviation parameter, as well as the initial inventory turnover rate;

[0025] Multiply the initial inventory turnover rate by the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter in sequence to obtain the optimized inventory conversion efficiency.

[0026] A product sales analysis system based on market research data, the system comprising: a data acquisition module, a first deviation parameter calculation module, a second deviation parameter calculation module and an inventory conversion efficiency correction module, wherein:

[0027] A data acquisition module is used to obtain the initial inventory turnover rate of the target product storage warehouse within a predetermined analysis period and the historical purchase records of the target product storage warehouse;

[0028] The first deviation parameter calculation module is used to determine the actual logistics time required for each batch of target products according to the historical purchase records of the target product storage warehouse, and calculate the supply chain response speed deviation parameter of the target product storage warehouse based on the actual logistics time required for all batches of target products;

[0029] The second deviation parameter calculation module is used to obtain the actual replenishment cycle, actual inventory allocation cycle and actual production response cycle of the supplier of the target product according to the historical procurement records of the target product storage warehouse, and calculate the supply chain flexibility deviation parameter of the target product storage warehouse based on these cycles;

[0030] The historical purchase records include the delivery time, arrival time, supplier information, and actual replenishment cycle, actual inventory allocation cycle, and actual production response cycle of each batch of target products;

[0031] The actual replenishment cycle is calculated by averaging the time difference between the time when all batches receive orders from suppliers and the time when products are actually shipped. The actual inventory allocation cycle is calculated by averaging the time difference between the time when all batches confirm inventory transfer requirements and the time when transfers are actually completed. The actual production response cycle is calculated by averaging the time difference between the time when all batches start production planning and when production is completed and ready for shipment.

[0032] The inventory conversion efficiency correction module is used to perform secondary correction on the initial inventory turnover rate through the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter to obtain the optimized inventory conversion efficiency.

[0033] As a further limitation of the technical solution of the embodiment of the present invention, the first deviation parameter calculation module specifically includes:

[0034] The first historical purchase record parsing unit is used to obtain the delivery time and arrival time of each batch of target products according to the historical purchase records of the target product storage warehouse, and calculate the actual logistics time required for each batch of target products according to the delivery time and arrival time of each batch of target products;

[0035] A standard logistics time acquisition unit is used to acquire the standard logistics time corresponding to the target product;

[0036] A supply chain response speed deviation parameter calculation unit is used to retrieve a supply chain response speed deviation parameter calculation formula, and calculate the supply chain response speed deviation parameter of the target product storage warehouse in combination with the standard logistics time and the actual logistics time of all batches of target products;

[0037] The supply chain response speed deviation parameter calculation formula is: Among them C response Refers to the supply chain response speed deviation parameter, T i Refers to the actual logistics time required for the i-th batch, T std It refers to the time required for standard logistics, and n refers to the total number of batches.

[0038] As a further limitation of the technical solution of the embodiment of the present invention, the second deviation parameter calculation module specifically includes:

[0039] The second historical purchase record parsing unit is used to obtain the actual replenishment cycle, actual inventory allocation cycle and actual production response cycle of the target product supplier according to the historical purchase records of the target product storage warehouse;

[0040] A supply chain flexibility deviation parameter calculation unit is used to call the supply chain flexibility deviation parameter calculation formula, and assign corresponding weights according to the importance of each cycle to calculate the supply chain flexibility deviation parameter of the target product storage warehouse;

[0041] The supply chain flexibility deviation parameter calculation formula is:

[0042]

[0043] Among them C flex refers to the supply chain flexibility deviation parameter, W rep is the weight of the replenishment cycle deviation, W alloc is the weight of inventory allocation cycle deviation, W prod is the weight of the production response cycle deviation, L f is the actual replenishment cycle, S f represents the standard replenishment cycle, D f is the actual inventory allocation cycle, T f is the standard inventory allocation cycle, P f is the actual production response cycle, Q f is the standard production response cycle.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] The present invention can comprehensively quantify the impact of logistics and supply chain flexibility on inventory conversion efficiency. By calculating the supply chain response speed deviation parameter, it can accurately evaluate the impact of logistics timeliness on inventory management; by calculating the supply chain flexibility deviation parameter, it can comprehensively reflect the efficiency deviation of each link in the supply chain. The combination of the two not only improves the accuracy of the revised initial inventory turnover rate, but also makes the final optimized inventory conversion efficiency closer to the actual situation. Compared with the traditional single calculation method, the result is more scientific and reasonable.

[0046] The secondary correction method of the present invention comprehensively considers the logistics response speed and supply chain flexibility, so that the optimized inventory conversion efficiency can more truly reflect the inventory turnover in actual operations, and provide enterprises with more accurate inventory management and supply chain optimization decision-making basis. The present invention performs data analysis and parameter calculation based on existing historical procurement records, does not require new hardware equipment, and is easy to integrate into the existing supply chain management system. It is also applicable to a variety of industry scenarios, such as fast-moving consumer goods, e-commerce logistics, and manufacturing industries, and provides an efficient solution for optimizing inventory management, reducing inventory costs, and improving supply chain efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A flowchart of a method provided by an embodiment of the present invention;

[0048] Figure 2 A flow chart of calculating a supply chain response speed deviation parameter in a method provided in an embodiment of the present invention;

[0049] Figure 3 A flow chart of calculating supply chain flexibility deviation parameters in the method provided in an embodiment of the present invention;

[0050] Figure 4 A flow chart of double optimization of initial inventory conversion efficiency in the method provided by an embodiment of the present invention;

[0051] Figure 5 An application architecture diagram of a system provided by an embodiment of the present invention;

[0052] Figure 6 A structural block diagram of a first deviation parameter calculation module in a system provided by an embodiment of the present invention;

[0053] Figure 7 This is a structural block diagram of a second deviation parameter calculation module in the system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0055] It can be understood that the terms "first", "second", etc. used in the present application can be used in this article to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish the first element from another element.

[0056] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0057] Specifically, a product sales analysis method based on market research data comprises the following steps:

[0058] Step S100, obtaining the initial inventory turnover rate of the target product storage warehouse within a predetermined analysis period, and the historical purchase records of the target product storage warehouse.

[0059] The historical purchase records include the delivery time, arrival time, supplier information, and actual replenishment cycle, actual inventory allocation cycle, and actual production response cycle of each batch of target products;

[0060] Among them, the actual replenishment cycle is obtained by calculating the time difference from the receipt of orders from suppliers to the actual delivery of products for all batches, and taking the average value; the actual inventory allocation cycle is obtained by calculating the time difference from the confirmation of inventory transfer requirements to the actual completion of transfer for all batches in the inventory management system, and taking the average value; the actual production response cycle is obtained by calculating the time difference from the start of production planning to the completion of production and preparation for delivery for all batches, and taking the average value.

[0061] In the embodiment of the present invention, the predetermined analysis period refers to a fixed time period set for evaluating the inventory management and supply chain efficiency of the target product storage warehouse, such as one month, one quarter or one year. During this period, data related to inventory flow, procurement records and supply chain links will be collected and analyzed to adjust inventory turnover and optimize supply chain processes.

[0062] The initial inventory turnover rate is data calculated based on the inventory turnover efficiency of the target product storage warehouse within a predetermined analysis period. It is usually provided by the inventory management system and reflects the basic inventory utilization of the storage warehouse when no supply chain adjustments are made.

[0063] The historical purchase records include the delivery time, arrival time, supplier information, and the supplier's actual replenishment cycle, actual inventory allocation cycle, and actual production response cycle for each batch of target products. The delivery time refers to the time when the supplier actually completes the delivery, and the arrival time refers to the time when the target product arrives at the storage warehouse. This information is used to evaluate the efficiency of transportation and logistics.

[0064] Supplier information includes the supplier's name, contact information, and role in the supply chain, which is used to analyze supply capacity and responsiveness. The actual replenishment cycle is obtained by taking the average time difference from the supplier receiving the order to the completion of the shipment for all batches, reflecting the supplier's replenishment efficiency. The actual inventory allocation cycle refers to the average time difference from the inventory management system confirming the allocation demand to the completion of the allocation, reflecting the flexibility of inventory resource allocation. The actual production response cycle is the average time difference from the start of the production plan to the completion of the product and preparation for shipment, which is used to measure production efficiency and responsiveness.

[0065] These data can be obtained from inventory management systems and supply chain management platforms through existing technical means, providing an important reference for supply chain efficiency analysis of target product storage warehouses.

[0066] Furthermore, the product sales analysis method based on market research data also includes the following steps:

[0067] Step S200, determining the actual logistics time required for each batch of target products according to the historical purchase records of the target product storage warehouse, and calculating the supply chain response speed deviation parameter of the target product storage warehouse based on the actual logistics time required for all batches of target products.

[0068] Specifically, Figure 2 A flow chart for calculating supply chain response speed deviation parameters is shown.

[0069] The actual logistics time required for each batch of target products is determined based on the historical purchase records of the target product storage warehouse, and the supply chain response speed deviation parameter of the target product storage warehouse is calculated based on the actual logistics time required for all batches of target products. The specific steps include:

[0070] Step S201, obtaining the delivery time and arrival time of each batch of target products according to the historical purchase records of the target product storage warehouse, and calculating the actual logistics time required for each batch of target products according to the delivery time and arrival time of each batch of target products;

[0071] Step S202, obtaining the standard logistics time corresponding to the target product;

[0072] Step S203, retrieve the supply chain response speed deviation parameter calculation formula, and calculate the supply chain response speed deviation parameter of the target product storage warehouse in combination with the standard logistics time and the actual logistics time of all batches of target products.

[0073] The supply chain response speed deviation parameter calculation formula is: Among them C response Refers to the supply chain response speed deviation parameter, T i Refers to the actual logistics time required for the i-th batch, T std It refers to the time required for standard logistics, and n refers to the total number of batches.

[0074] In an embodiment of the present invention, based on the historical purchase records of the target product storage warehouse, the delivery time and arrival time of each batch of target products can be obtained in the following manner. The delivery time is usually recorded in the supplier's delivery notice, which is the time when the supplier confirms the order and actually hands over the goods to the logistics transportation. The arrival time can be obtained from the receipt record of the target product storage warehouse, which is the time when the warehouse confirms the receipt of the goods and completes the registration. This information is usually stored in the enterprise's supply chain management system and can be extracted by querying the historical order data of a specific product.

[0075] By comparing the delivery time and arrival time of each batch of target products, the actual logistics time can be calculated, that is, the time it takes for each batch to be shipped from the supplier to the storage warehouse. These logistics time data can be sorted into a list of actual logistics time through batch processing.

[0076] The standard logistics time is usually preset by the enterprise based on the supplier's service agreement or historical data. It is the ideal time from delivery to receipt, and is used as a benchmark value to measure logistics efficiency. The standard logistics time can be directly extracted from the system's set parameters or determined through statistical analysis of past logistics data.

[0077] Assume that the four batches of orders for the target product storage warehouse have the following data: the first batch was shipped on January 1, arrived on January 5, and the actual logistics time was 4 days; the second batch was shipped on January 10, arrived on January 14, and the actual logistics time was 4 days; the third batch was shipped on January 20, arrived on January 24, and the actual logistics time was 4 days; the fourth batch was shipped on January 30, arrived on February 4, and the actual logistics time was 5 days. The standard logistics time is preset to 4 days.

[0078] According to the deviation between the actual logistics time and the standard logistics time of all batches, the deviation of each batch is calculated as follows: the deviation of the first batch is 0, the deviation of the second batch is 0, the deviation of the third batch is 0, and the deviation of the fourth batch is 1 day (delayed by one day). These deviation values ​​are normalized to proportions and averaged, and the average deviation ratio of all batches is 0.25. Finally, add 1 to the average deviation ratio to obtain the supply chain response speed deviation parameter of 1.25.

[0079] This parameter shows that the actual logistics time required for the target product storage warehouse is delayed by an average of 25% compared to the standard logistics time, reflecting a certain degree of logistics efficiency problem and providing a quantitative basis for further optimization.

[0080] Furthermore, the product sales analysis method based on market research data also includes the following steps:

[0081] Step S300, according to the historical procurement records of the target product storage warehouse, obtain the actual replenishment cycle, actual inventory allocation cycle and actual production response cycle of the supplier of the target product, and calculate the supply chain flexibility deviation parameters of the target product storage warehouse based on these cycles.

[0082] Specifically, Figure 3 A flow chart for calculating supply chain flexibility deviation parameters is shown.

[0083] The process of obtaining the actual replenishment cycle, actual inventory allocation cycle, and actual production response cycle of the supplier of the target product according to the historical purchase records of the target product storage warehouse and calculating the supply chain flexibility deviation parameters of the target product storage warehouse based on these cycles specifically includes the following steps:

[0084] Step S301, obtaining the actual replenishment cycle, actual inventory allocation cycle and actual production response cycle of the target product supplier according to the historical purchase records of the target product storage warehouse;

[0085] Step S302, calling the supply chain flexibility deviation parameter calculation formula, and assigning corresponding weights according to the importance of each period, to calculate the supply chain flexibility deviation parameters of the target product storage warehouse.

[0086] The supply chain flexibility deviation parameter calculation formula is:

[0087]

[0088] Among them C flex refers to the supply chain flexibility deviation parameter; W rep is the weight of the replenishment cycle deviation; W alloc is the weight of inventory allocation cycle deviation; W prodis the weight of the production response cycle deviation; L f is the actual replenishment cycle, S f Indicates the standard replenishment cycle; D f is the actual inventory allocation cycle, T f is the standard inventory allocation cycle; P f is the actual production response cycle, Q f is the standard production response cycle.

[0089] In an embodiment of the present invention, based on the historical purchase records of the target product storage warehouse, the order confirmation time, inventory transfer start and end time, and production plan start and completion time of each batch can be extracted from the supply chain management system. The actual replenishment cycle is the average value calculated by summarizing the time difference between the supplier confirmation time and the actual delivery time of each batch of orders; the actual inventory allocation cycle is the average value calculated by extracting the time difference between the transfer demand confirmation time and the transfer completion time through the inventory management system; the actual production response cycle is the average value calculated by summarizing the time difference between the production plan start time and the production completion time extracted by the production management system.

[0090] The standard cycle is usually set by historical data statistics or corporate rules. For example, the standard replenishment cycle is set based on the supplier's long-term cooperation record and contract delivery commitment; the standard inventory allocation cycle is based on the company's average allocation efficiency; the standard production response cycle is derived from a comprehensive assessment of production capacity and historical production efficiency. The standard cycle is used as an ideal benchmark to measure actual cycle performance.

[0091] The following is an introduction to this technical solution with reference to specific examples:

[0092] Assume that a target product storage warehouse has five batches of orders within a quarter. The following are the detailed data: the supplier's order confirmation time is January 1, January 5, January 10, January 15 and January 20, and the corresponding delivery time is January 3, January 7, January 13, January 18 and January 23. The actual replenishment cycle is 2 days, 2 days, 3 days, 3 days and 3 days, and the average replenishment cycle is 2.6 days. The inventory transfer demand confirmation time is January 3, January 7, January 13, January 18 and January 23, and the corresponding transfer completion time is January 4, January 9, January 15, January 20 and January 25. The actual inventory allocation cycle is 1 day, 2 days, 2 days, 2 days and 2 days, and the average inventory allocation cycle is 1.8 days. The production plan start times were January 4, January 10, January 16, January 21 and January 25, and the corresponding production completion times were January 7, January 13, January 20, January 25 and January 30. The actual production response cycles were 3 days, 3 days, 4 days, 4 days and 5 days, respectively, and the average production response cycle was 3.8 days.

[0093] The standard replenishment cycle is set at 2 days, the standard inventory allocation cycle is set at 1 day, and the standard production response cycle is set at 3 days. Compared with the standard cycle, the deviation of the replenishment cycle is the average cycle minus the standard cycle, which is 0.6 days; the deviation of the inventory allocation cycle is 0.8 days; and the deviation of the production response cycle is 0.8 days.

[0094] When calling the calculation formula for supply chain flexibility deviation parameters, the importance weights of replenishment cycle, inventory allocation cycle and production response cycle are set to 50%, 30% and 20% respectively. Through the comprehensive calculation of deviations and weights, the supply chain flexibility deviation parameter is 1.24. This result shows that the supply chain flexibility deviation parameter of the target product storage warehouse is higher than one, reflecting that the supply chain efficiency deviates from the ideal standard, among which the deviations in replenishment and production response have a greater impact on the overall flexibility. This provides enterprises with a direction for optimizing supply chain management, for example, the overall flexibility of the supply chain can be improved by improving replenishment efficiency and optimizing production plan response.

[0095] Furthermore, the product sales analysis method based on market research data also includes the following steps:

[0096] Step S400, performing a secondary correction on the initial inventory turnover rate by using the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter to obtain an optimized inventory conversion efficiency.

[0097] Specifically, Figure 4 A flow chart for double optimization of initial inventory conversion efficiency is shown.

[0098] Among them, the initial inventory turnover rate is corrected twice by supply chain response speed deviation parameter and supply chain flexibility deviation parameter to obtain the optimized inventory conversion efficiency, which specifically includes the following steps:

[0099] Step S401, obtaining the calculated supply chain response speed deviation parameter and supply chain flexibility deviation parameter, as well as the initial inventory turnover rate;

[0100] Step S402, multiplying the initial inventory turnover rate by the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter in sequence to obtain the optimized inventory conversion efficiency.

[0101] In the embodiment of the present invention, according to the two previous examples, the initial inventory turnover rate is set to 60%, which means that within the predetermined analysis period, the actual utilization rate of the inventory is 60%, reflecting the inventory turnover efficiency under uncorrected conditions. The optimized inventory conversion efficiency is calculated by combining the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter. In the first example, the supply chain response speed deviation parameter is 1.25, indicating that there is a certain degree of delay in the logistics link; in the second example, the supply chain flexibility deviation parameter is 1.24, indicating that the efficiency of the replenishment and production response links has a greater impact on the overall supply chain flexibility.

[0102] The initial inventory turnover rate of 60% is multiplied by the supply chain response speed deviation parameter 1.25 and the supply chain flexibility deviation parameter 1.24, and the final calculated optimized inventory conversion efficiency is 93%. This result shows that by correcting the deviation of the supply chain link, the inventory turnover rate is closer to the actual situation and provides a more reasonable inventory circulation efficiency evaluation value.

[0103] The beneficial effect of this technical solution is that by introducing the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter, the efficiency deviation of the logistics and supply chain links is fully quantified, providing a scientific basis for the adjustment of inventory conversion efficiency. The corrected inventory turnover rate not only intuitively reflects the efficiency performance of each link in the logistics and supply chain, but also makes the final result more in line with the actual situation through the comprehensive correction of multi-dimensional factors, avoiding the one-sidedness of the traditional single calculation method. This method can accurately identify the links that need to be optimized in the supply chain and provide enterprises with a more comprehensive supply chain management optimization solution.

[0104] Choosing supply chain response speed and supply chain flexibility as objective factors has obvious advantages. Supply chain response speed directly measures the performance of logistics timeliness and is an important manifestation of supply chain operation efficiency; supply chain flexibility starts from replenishment, allocation and production, and quantifies the supply chain's adaptability to complex demands. The two complement each other and jointly determine the final performance of inventory turnover. The combination of the two can achieve unexpected technical effects. Through the joint correction of logistics deviation and flexibility deviation, it not only improves inventory conversion efficiency, but also greatly improves the accuracy and actual availability of inventory turnover, helping companies dynamically adjust inventory strategies and respond more flexibly to changes in market demand.

[0105] This technical solution has broad application prospects in industries that require efficient inventory management, such as fast-moving consumer goods, e-commerce logistics, and manufacturing. By dynamically adjusting inventory conversion efficiency, this method can significantly improve the operating efficiency of the supply chain, reduce inventory costs, optimize resource allocation, and provide companies with a strong competitive advantage in a highly competitive market.

[0106] Furthermore, Figure 5 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0107] Among them, in another preferred embodiment provided by the present invention, a product sales analysis system based on market research data includes:

[0108] The data acquisition module 100 is used to acquire the initial inventory turnover rate of the target product storage warehouse within a predetermined analysis period, and the historical purchase records of the target product storage warehouse.

[0109] The historical purchase records include the delivery time, arrival time, supplier information, and actual replenishment cycle, actual inventory allocation cycle, and actual production response cycle of each batch of target products;

[0110] Among them, the actual replenishment cycle is obtained by calculating the time difference from the receipt of orders from suppliers to the actual delivery of products for all batches, and taking the average value; the actual inventory allocation cycle is obtained by calculating the time difference from the confirmation of inventory transfer requirements to the actual completion of transfer for all batches in the inventory management system, and taking the average value; the actual production response cycle is obtained by calculating the time difference from the start of production planning to the completion of production and preparation for delivery for all batches, and taking the average value.

[0111] In the embodiment of the present invention, the predetermined analysis period refers to a fixed time period set for evaluating the inventory management and supply chain efficiency of the target product storage warehouse, such as one month, one quarter or one year. During this period, data related to inventory flow, procurement records and supply chain links will be collected and analyzed to adjust inventory turnover and optimize supply chain processes.

[0112] The initial inventory turnover rate is data calculated based on the inventory turnover efficiency of the target product storage warehouse within a predetermined analysis period. It is usually provided by the inventory management system and reflects the basic inventory utilization of the storage warehouse when no supply chain adjustments are made.

[0113] The historical purchase records include the delivery time, arrival time, supplier information, and the supplier's actual replenishment cycle, actual inventory allocation cycle, and actual production response cycle for each batch of target products. The delivery time refers to the time when the supplier actually completes the delivery, and the arrival time refers to the time when the target product arrives at the storage warehouse. This information is used to evaluate the efficiency of transportation and logistics.

[0114] Supplier information includes the supplier's name, contact information, and role in the supply chain, which is used to analyze supply capacity and responsiveness. The actual replenishment cycle is obtained by taking the average time difference from the supplier receiving the order to the completion of the shipment for all batches, reflecting the supplier's replenishment efficiency. The actual inventory allocation cycle refers to the average time difference from the inventory management system confirming the allocation demand to the completion of the allocation, reflecting the flexibility of inventory resource allocation. The actual production response cycle is the average time difference from the start of the production plan to the completion of the product and preparation for shipment, which is used to measure production efficiency and responsiveness.

[0115] These data can be obtained from inventory management systems and supply chain management platforms through existing technical means, providing an important reference for supply chain efficiency analysis of target product storage warehouses.

[0116] Furthermore, the product sales analysis system based on market research data also includes:

[0117] The first deviation parameter calculation module 200 is used to determine the actual logistics time required for each batch of target products according to the historical procurement records of the target product storage warehouse, and calculate the supply chain response speed deviation parameter of the target product storage warehouse based on the actual logistics time required for all batches of target products.

[0118] Specifically, Figure 6 It shows a structural block diagram of the first deviation parameter calculation module 200 in the system provided by an embodiment of the present invention.

[0119] Among them, in the preferred embodiment provided by the present invention, the first deviation parameter calculation module 200 specifically includes:

[0120] The first historical purchase record parsing unit 201 is used to obtain the delivery time and arrival time of each batch of target products according to the historical purchase records of the target product storage warehouse, and calculate the actual logistics time required for each batch of target products according to the delivery time and arrival time of each batch of target products;

[0121] The standard logistics time acquisition unit 202 is used to acquire the standard logistics time corresponding to the target product;

[0122] The supply chain response speed deviation parameter calculation unit 203 is used to retrieve the supply chain response speed deviation parameter calculation formula, and calculate the supply chain response speed deviation parameter of the target product storage warehouse in combination with the standard logistics required time and the actual logistics required time of all batches of target products;

[0123] The supply chain response speed deviation parameter calculation formula is: Among them C response Refers to the supply chain response speed deviation parameter, T i Refers to the actual logistics time required for the i-th batch, T std It refers to the time required for standard logistics, and n refers to the total number of batches.

[0124] In an embodiment of the present invention, based on the historical purchase records of the target product storage warehouse, the delivery time and arrival time of each batch of target products can be obtained in the following manner. The delivery time is usually recorded in the supplier's delivery notice, which is the time when the supplier confirms the order and actually hands over the goods to the logistics transportation. The arrival time can be obtained from the receipt record of the target product storage warehouse, which is the time when the warehouse confirms the receipt of the goods and completes the registration. This information is usually stored in the enterprise's supply chain management system and can be extracted by querying the historical order data of a specific product.

[0125] By comparing the delivery time and arrival time of each batch of target products, the actual logistics time can be calculated, that is, the time it takes for each batch to be shipped from the supplier to the storage warehouse. These logistics time data can be sorted into a list of actual logistics time through batch processing.

[0126] The standard logistics time is usually preset by the enterprise based on the supplier's service agreement or historical data. It is the ideal time from delivery to receipt, and is used as a benchmark value to measure logistics efficiency. The standard logistics time can be directly extracted from the system's set parameters or determined through statistical analysis of past logistics data.

[0127] Assume that the four batches of orders for the target product storage warehouse have the following data: the first batch was shipped on January 1, arrived on January 5, and the actual logistics time was 4 days; the second batch was shipped on January 10, arrived on January 14, and the actual logistics time was 4 days; the third batch was shipped on January 20, arrived on January 24, and the actual logistics time was 4 days; the fourth batch was shipped on January 30, arrived on February 4, and the actual logistics time was 5 days. The standard logistics time is preset to 4 days.

[0128] According to the deviation between the actual logistics time and the standard logistics time of all batches, the deviation of each batch is calculated as follows: the deviation of the first batch is 0, the deviation of the second batch is 0, the deviation of the third batch is 0, and the deviation of the fourth batch is 1 day (delayed by one day). These deviation values ​​are normalized to proportions and averaged, and the average deviation ratio of all batches is 0.25. Finally, add 1 to the average deviation ratio to obtain the supply chain response speed deviation parameter of 1.25.

[0129] This parameter shows that the actual logistics time required for the target product storage warehouse is delayed by an average of 25% compared to the standard logistics time, reflecting a certain degree of logistics efficiency problem and providing a quantitative basis for further optimization.

[0130] Furthermore, the product sales analysis system based on market research data also includes:

[0131] The second deviation parameter calculation module 300 is used to obtain the actual replenishment cycle, actual inventory allocation cycle and actual production response cycle of the supplier of the target product based on the historical procurement records of the target product storage warehouse, and calculate the supply chain flexibility deviation parameters of the target product storage warehouse based on these cycles.

[0132] Specifically, Figure 7 It shows a structural block diagram of the second deviation parameter calculation module 300 in the system provided by an embodiment of the present invention.

[0133] Among them, in the preferred embodiment provided by the present invention, the second deviation parameter calculation module 300 specifically includes:

[0134] The second historical purchase record parsing unit 301 is used to obtain the actual replenishment cycle, actual inventory allocation cycle and actual production response cycle of the target product supplier according to the historical purchase records of the target product storage warehouse;

[0135] The supply chain flexibility deviation parameter calculation unit 302 is used to call the supply chain flexibility deviation parameter calculation formula, and assign corresponding weights according to the importance of each period to calculate the supply chain flexibility deviation parameter of the target product storage warehouse;

[0136] The supply chain flexibility deviation parameter calculation formula is:

[0137]

[0138] Among them C flex refers to the supply chain flexibility deviation parameter, W rep is the weight of the replenishment cycle deviation, W alloc is the weight of inventory allocation cycle deviation, W prod is the weight of the production response cycle deviation, L f is the actual replenishment cycle, S f represents the standard replenishment cycle, D f is the actual inventory allocation cycle, T f is the standard inventory allocation cycle, P f is the actual production response cycle, Q f is the standard production response cycle.

[0139] In an embodiment of the present invention, based on the historical purchase records of the target product storage warehouse, the order confirmation time, inventory transfer start and end time, and production plan start and completion time of each batch can be extracted from the supply chain management system. The actual replenishment cycle is the average value calculated by summarizing the time difference between the supplier confirmation time and the actual delivery time of each batch of orders; the actual inventory allocation cycle is the average value calculated by extracting the time difference between the transfer demand confirmation time and the transfer completion time through the inventory management system; the actual production response cycle is the average value calculated by summarizing the time difference between the production plan start time and the production completion time extracted by the production management system.

[0140] The standard cycle is usually set by historical data statistics or corporate rules. For example, the standard replenishment cycle is set based on the supplier's long-term cooperation record and contract delivery commitment; the standard inventory allocation cycle is based on the company's average allocation efficiency; the standard production response cycle is derived from a comprehensive assessment of production capacity and historical production efficiency. The standard cycle is used as an ideal benchmark to measure actual cycle performance.

[0141] The following is an introduction to this technical solution with reference to specific examples:

[0142] Assume that a target product storage warehouse has five batches of orders within a quarter. The following are the detailed data: the supplier's order confirmation time is January 1, January 5, January 10, January 15 and January 20, and the corresponding delivery time is January 3, January 7, January 13, January 18 and January 23. The actual replenishment cycle is 2 days, 2 days, 3 days, 3 days and 3 days, and the average replenishment cycle is 2.6 days. The inventory transfer demand confirmation time is January 3, January 7, January 13, January 18 and January 23, and the corresponding transfer completion time is January 4, January 9, January 15, January 20 and January 25. The actual inventory allocation cycle is 1 day, 2 days, 2 days, 2 days and 2 days, and the average inventory allocation cycle is 1.8 days. The production plan start times were January 4, January 10, January 16, January 21 and January 25, and the corresponding production completion times were January 7, January 13, January 20, January 25 and January 30. The actual production response cycles were 3 days, 3 days, 4 days, 4 days and 5 days, respectively, and the average production response cycle was 3.8 days.

[0143] The standard replenishment cycle is set at 2 days, the standard inventory allocation cycle is set at 1 day, and the standard production response cycle is set at 3 days. Compared with the standard cycle, the deviation of the replenishment cycle is the average cycle minus the standard cycle, which is 0.6 days; the deviation of the inventory allocation cycle is 0.8 days; and the deviation of the production response cycle is 0.8 days.

[0144] When calling the calculation formula for supply chain flexibility deviation parameters, the importance weights of replenishment cycle, inventory allocation cycle and production response cycle are set to 50%, 30% and 20% respectively. Through the comprehensive calculation of deviations and weights, the supply chain flexibility deviation parameter is 1.24. This result shows that the supply chain flexibility deviation parameter of the target product storage warehouse is higher than one, reflecting that the supply chain efficiency deviates from the ideal standard, among which the deviations in replenishment and production response have a greater impact on the overall flexibility. This provides enterprises with a direction for optimizing supply chain management, for example, the overall flexibility of the supply chain can be improved by improving replenishment efficiency and optimizing production plan response.

[0145] Furthermore, the product sales analysis system based on market research data also includes:

[0146] The inventory conversion efficiency correction module 400 is used to perform a secondary correction on the initial inventory turnover rate through the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter to obtain the optimized inventory conversion efficiency.

[0147] In the embodiment of the present invention, according to the two previous examples, the initial inventory turnover rate is set to 60%, which means that within the predetermined analysis period, the actual utilization rate of the inventory is 60%, reflecting the inventory turnover efficiency under uncorrected conditions. The optimized inventory conversion efficiency is calculated by combining the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter. In the first example, the supply chain response speed deviation parameter is 1.25, indicating that there is a certain degree of delay in the logistics link; in the second example, the supply chain flexibility deviation parameter is 1.24, indicating that the efficiency of the replenishment and production response links has a greater impact on the overall supply chain flexibility.

[0148] The initial inventory turnover rate of 60% is multiplied by the supply chain response speed deviation parameter 1.25 and the supply chain flexibility deviation parameter 1.24, and the final calculated optimized inventory conversion efficiency is 93%. This result shows that by correcting the deviation of the supply chain link, the inventory turnover rate is closer to the actual situation and provides a more reasonable inventory circulation efficiency evaluation value.

[0149] The beneficial effect of this technical solution is that by introducing the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter, the efficiency deviation of the logistics and supply chain links is fully quantified, providing a scientific basis for the adjustment of inventory conversion efficiency. The corrected inventory turnover rate not only intuitively reflects the efficiency performance of each link in the logistics and supply chain, but also makes the final result more in line with the actual situation through the comprehensive correction of multi-dimensional factors, avoiding the one-sidedness of the traditional single calculation method. This method can accurately identify the links that need to be optimized in the supply chain and provide enterprises with a more comprehensive supply chain management optimization solution.

[0150] Choosing supply chain response speed and supply chain flexibility as objective factors has obvious advantages. Supply chain response speed directly measures the performance of logistics timeliness and is an important manifestation of supply chain operation efficiency; supply chain flexibility starts from replenishment, allocation and production, and quantifies the supply chain's adaptability to complex demands. The two complement each other and jointly determine the final performance of inventory turnover. The combination of the two can achieve unexpected technical effects. Through the joint correction of logistics deviation and flexibility deviation, it not only improves inventory conversion efficiency, but also greatly improves the accuracy and actual availability of inventory turnover, helping companies dynamically adjust inventory strategies and respond more flexibly to changes in market demand.

[0151] This technical solution has broad application prospects in industries that require efficient inventory management, such as fast-moving consumer goods, e-commerce logistics, and manufacturing. By dynamically adjusting inventory conversion efficiency, this method can significantly improve the operating efficiency of the supply chain, reduce inventory costs, optimize resource allocation, and provide companies with a strong competitive advantage in a highly competitive market.

[0152] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0153] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0154] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0155] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0156] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A product sales analysis method based on market research data, characterized in that: The method comprises: Obtaining the initial inventory turnover rate of the target product storage warehouse within a predetermined analysis period, as well as the historical purchase records of the target product storage warehouse; According to the historical purchase records of the target product storage warehouse, the actual logistics time required for each batch of the target product is determined, and the supply chain response speed deviation parameter of the target product storage warehouse is calculated based on the actual logistics time required for all batches of the target product; According to the historical purchase records of the target product storage warehouse, the actual replenishment cycle, actual inventory allocation cycle and actual production response cycle of the supplier of the target product are obtained, and the supply chain flexibility deviation parameters of the target product storage warehouse are calculated based on these cycles; The initial inventory turnover rate is corrected twice by using the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter to obtain the optimized inventory conversion efficiency.

2. The product sales analysis method based on market research data according to claim 1, characterized in that: The historical purchase records include the delivery time, arrival time, supplier information, and actual replenishment cycle, actual inventory allocation cycle, and actual production response cycle of each batch of target products; Among them, the actual replenishment cycle is obtained by calculating the time difference from the receipt of orders from suppliers to the actual delivery of products for all batches, and taking the average value; the actual inventory allocation cycle is obtained by calculating the time difference from the confirmation of inventory transfer requirements to the actual completion of transfer for all batches in the inventory management system, and taking the average value; the actual production response cycle is obtained by calculating the time difference from the start of production planning to the completion of production and preparation for delivery for all batches, and taking the average value.

3. The product sales analysis method based on market research data according to claim 2, characterized in that: The steps of determining the actual logistics time required for each batch of target products according to the historical purchase records of the target product storage warehouse, and calculating the supply chain response speed deviation parameter of the target product storage warehouse based on the actual logistics time required for all batches of target products include: According to the historical purchase records of the target product storage warehouse, the delivery time and arrival time of each batch of target products are obtained, and the actual logistics time required for each batch of target products is calculated according to the delivery time and arrival time of each batch of target products; Obtain the standard logistics time corresponding to the target product; The supply chain response speed deviation parameter calculation formula is retrieved, and the supply chain response speed deviation parameter of the target product storage warehouse is calculated based on the standard logistics time and the actual logistics time of all batches of target products.

4. The product sales analysis method based on market research data according to claim 1, characterized in that: The supply chain response speed deviation parameter calculation formula is: Among them C response Refers to the supply chain response speed deviation parameter, T i Refers to the actual logistics time required for the i-th batch, T std It refers to the time required for standard logistics, and n refers to the total number of batches.

5. The product sales analysis method based on market research data according to claim 1, characterized in that: The steps of obtaining the actual replenishment cycle, actual inventory allocation cycle, and actual production response cycle of the supplier of the target product according to the historical purchase records of the target product storage warehouse, and calculating the supply chain flexibility deviation parameter of the target product storage warehouse based on these cycles include: According to the historical purchase records of the target product storage warehouse, the actual replenishment cycle, actual inventory allocation cycle and actual production response cycle of the target product supplier are obtained; The supply chain flexibility deviation parameter calculation formula is called, and the corresponding weight is assigned according to the importance of each cycle to calculate the supply chain flexibility deviation parameter of the target product storage warehouse.

6. The product sales analysis method based on market research data according to claim 5, characterized in that: The supply chain flexibility deviation parameter calculation formula is: Among them C flex refers to the supply chain flexibility deviation parameter; W rep is the weight of the replenishment cycle deviation; W alloc is the weight of inventory allocation cycle deviation; W prod is the weight of the production response cycle deviation; L f is the actual replenishment cycle, S f Indicates the standard replenishment cycle; D f is the actual inventory allocation cycle, T f is the standard inventory allocation cycle; P f is the actual production response cycle, Q f is the standard production response cycle.

7. The product sales analysis method based on market research data according to claim 1, characterized in that: The steps of performing a secondary correction on the initial inventory turnover rate by using the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter to obtain the optimized inventory conversion efficiency include: Obtaining the calculated supply chain response speed deviation parameter and supply chain flexibility deviation parameter, as well as the initial inventory turnover rate; Multiply the initial inventory turnover rate by the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter in sequence to obtain the optimized inventory conversion efficiency.

8. A product sales analysis system based on market research data, characterized in that: The system comprises: a data acquisition module, a first deviation parameter calculation module, a second deviation parameter calculation module and an inventory conversion efficiency correction module, wherein: A data acquisition module is used to obtain the initial inventory turnover rate of the target product storage warehouse within a predetermined analysis period and the historical purchase records of the target product storage warehouse; A first deviation parameter calculation module is used to determine the actual logistics time required for each batch of target products according to the historical purchase records of the target product storage warehouse, and calculate the supply chain response speed deviation parameter of the target product storage warehouse based on the actual logistics time required for all batches of target products; The second deviation parameter calculation module is used to obtain the actual replenishment cycle, actual inventory allocation cycle and actual production response cycle of the supplier of the target product according to the historical procurement records of the target product storage warehouse, and calculate the supply chain flexibility deviation parameter of the target product storage warehouse based on these cycles; The historical purchase records include the delivery time, arrival time, supplier information, and actual replenishment cycle, actual inventory allocation cycle, and actual production response cycle of each batch of target products; The actual replenishment cycle is calculated by averaging the time difference between the time when all batches receive orders from suppliers and the time when products are actually shipped. The actual inventory allocation cycle is calculated by averaging the time difference between the time when all batches confirm inventory transfer requirements and the time when transfers are actually completed. The actual production response cycle is calculated by averaging the time difference between the time when all batches start production planning and when production is completed and ready for shipment. The inventory conversion efficiency correction module is used to perform secondary correction on the initial inventory turnover rate through the supply chain response speed deviation parameter and the supply chain flexibility deviation parameter to obtain the optimized inventory conversion efficiency.

9. The product sales analysis system based on market research data according to claim 8, characterized in that: The first deviation parameter calculation module specifically includes: The first historical purchase record parsing unit is used to obtain the delivery time and arrival time of each batch of target products according to the historical purchase records of the target product storage warehouse, and calculate the actual logistics time required for each batch of target products according to the delivery time and arrival time of each batch of target products; A standard logistics time acquisition unit is used to acquire the standard logistics time corresponding to the target product; A supply chain response speed deviation parameter calculation unit is used to retrieve a supply chain response speed deviation parameter calculation formula, and calculate the supply chain response speed deviation parameter of the target product storage warehouse in combination with the standard logistics time and the actual logistics time of all batches of target products; The supply chain response speed deviation parameter calculation formula is: Among them C response Refers to the supply chain response speed deviation parameter, T i Refers to the actual logistics time required for the i-th batch, T std It refers to the time required for standard logistics, and n refers to the total number of batches.

10. The product sales analysis system based on market research data according to claim 9, characterized in that: The second deviation parameter calculation module specifically includes: The second historical purchase record parsing unit is used to obtain the actual replenishment cycle, actual inventory allocation cycle and actual production response cycle of the target product supplier according to the historical purchase records of the target product storage warehouse; A supply chain flexibility deviation parameter calculation unit is used to call the supply chain flexibility deviation parameter calculation formula, and assign corresponding weights according to the importance of each cycle to calculate the supply chain flexibility deviation parameter of the target product storage warehouse; The supply chain flexibility deviation parameter calculation formula is: Among them C flex refers to the supply chain flexibility deviation parameter, W rep is the weight of the replenishment cycle deviation, W alloc is the weight of inventory allocation cycle deviation, W prod is the weight of the production response cycle deviation, L f is the actual replenishment cycle, S f represents the standard replenishment cycle, D f is the actual inventory allocation cycle, T f is the standard inventory allocation cycle, P f is the actual production response cycle, Q f is the standard production response cycle.

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