Comprehensive management cloud platform based on commercial data

Abstract

The invention relates to the technical field of commercial operation management, and discloses an integrated management cloud platform based on commercial data, which comprises a data acquisition unit, a data processing unit, a data analysis unit and a data display unit, in the aspect of inventory management, through preprocessing and analyzing commercial data, the inventory value is accurately calculated, and the adjustment signal is generated by using the inventory turnover rate and the sales change rate, the management personnel can accurately adjust the inventory level, overstock or stockout is avoided, and the management efficiency and accuracy are improved. In the procurement plan making process, signals are generated according to the inventory turnover rate and the sales volume trend, a scientific basis is provided for procurement decision making, and the procurement risk is reduced. In addition, a safe stock value is accurately calculated and replenishment analysis is carried out to determine whether replenishment and replenishment amount are carried out, so that the stock safety is ensured and the cost is reduced. The data display unit visually displays signals and data, so that management personnel can make decisions conveniently, and the cloud platform comprehensively analyzes the data to provide decision support.

Description

Technical Field

[0001] The present invention relates to the technical field of commercial operation management, and in particular to a comprehensive management cloud platform based on commercial data. Background Art

[0002] As business activities become increasingly complex and competition intensifies, it is crucial for enterprises to effectively manage and utilize business data. In traditional business management, enterprises often face problems such as inaccurate inventory management, difficulty in accurately grasping sales conditions, and lack of scientific basis for purchasing plans. These problems may lead to adverse consequences such as inventory backlogs, excessive capital occupation, or insufficient inventory affecting sales.

[0003] On the one hand, accurately understanding the inventory quantity and product cost of products is crucial for the company's cost control and resource allocation. Through effective analysis of these data, we can better understand the inventory value of products at different stages, thereby providing a basis for the company's inventory management and procurement decisions; on the other hand, product sales are also one of the key business data. Understanding the changes in product sales at different times can help companies grasp market trends in a timely manner, adjust inventory levels and procurement plans to adapt to changes in market demand.

[0004] In addition, for enterprises, a reasonable replenishment strategy is also an important part of improving operational efficiency and customer satisfaction. It is necessary to accurately determine when and how much replenishment is needed based on information such as product sales, replenishment lead time, and replenishment cycle to ensure that inventory is always at a reasonable level to avoid out-of-stock or backlogs.

[0005] To sum up, in order to better manage business data and improve the operational efficiency and competitiveness of enterprises, a comprehensive management cloud platform based on business data is provided. Summary of the invention

[0006] The purpose of the present invention is to provide a comprehensive management cloud platform based on business data, which solves the technical problems raised in the background technology.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A comprehensive management cloud platform based on business data, including:

[0009] A data collection unit for collecting commercial data of each product;

[0010] Business data includes product costs of products, inventory quantities of products, and sales of products;

[0011] A data processing unit, used for preprocessing the business data and transmitting the preprocessing results to the data analysis unit;

[0012] A data analysis unit, used for performing calculations on the business data and obtaining an inventory adjustment signal 1 or an inventory adjustment signal 2 for adjusting the inventory level;

[0013] The data display unit is used to display the inventory adjustment signal 1 or the inventory adjustment signal 2 to relevant personnel.

[0014] As a further solution of the present invention: the pretreatment method is as follows:

[0015] SA1. Select a specified period and obtain the inventory quantity of the specified product at the beginning of the specified period, and record it as K1;

[0016] At the same time, the corresponding product cost of the specified product is extracted and marked as CB;

[0017] SA2. Calculate the product inventory value CE of the specified product at the beginning of the specified period through CE = K1 × CB;

[0018] SA3. At the end of the specified period, obtain the inventory quantity of the specified product and mark it as K2;

[0019] At the same time, within the specified period, the new inventory quantity of the specified product is obtained and marked as RK;

[0020] SA4. Calculate the product inventory value ME of the specified product at the beginning of the specified period through ME = (K2-RK) × CB.

[0021] As a further solution of the present invention: the calculation processing method is as follows:

[0022] SB1. Obtain the product inventory value at the beginning and end of the specified period, and mark them as CE and ME respectively;

[0023] At the same time, obtain the sales cost in the specified period and mark it as XC;

[0024] SB2, through Calculate the inventory turnover rate Z within a specified period;

[0025] SB3. Compare the obtained inventory turnover rate with the pre-set target value and determine the purchasing plan for the specified product:

[0026] If the inventory turnover rate is not lower than the target value, an inventory adjustment signal 1 is generated, and the inventory adjustment signal 1 is used by managers to consider increasing inventory to meet the demand growth;

[0027] If the inventory turnover rate is lower than the target value, an inventory adjustment signal 2 is generated. The inventory adjustment signal 2 is used by management personnel to adjust the inventory level in a timely manner to avoid inventory backlogs.

[0028] As a further solution of the present invention: the pretreatment method is also as follows:

[0029] SC1. In the specified period, the specified period is divided into several standard periods. Then, all orders of the specified product in each standard period are obtained in sequence according to the time series, and the sales of each order are extracted. Then, the sales of each order in the standard period is marked as X. i，j ;

[0030] Where i = 1, 2, ... n, n represents the quantity value of the standard period, j = 1, 2, ... m, m represents the quantity value of all orders in the standard period;

[0031] SC2, let i be 1, 2, ... n;

[0032] Then through Calculate the sales volume D of the specified product in each standard period i .

[0033] As a further solution of the present invention: the calculation processing method is also as follows:

[0034] SD1. Sales volume of the specified product in each standard period D i ;

[0035] SD2, through Calculate the sales change rate B within the specified period;

[0036] SD3. Determine the purchasing plan for the specified product based on the positive or negative value of the sales change rate B:

[0037] When the B value is positive, it indicates that the sales volume in the specified period is on an upward trend, and the inventory adjustment signal 1 is generated;

[0038] When the B value is negative, it means that the sales volume in the specified period is on a downward trend, and inventory adjustment signal 2 is generated.

[0039] As a further solution of the present invention: the data acquisition unit further obtains commodity information of the designated commodity according to the inventory adjustment signal 1;

[0040] Product information includes the inventory quantity of the specified product at the current time node, the sales quantity of the specified product in multiple standard time periods within a specified period, the replenishment lead time of the specified product, and the time interval between multiple replenishments of the specified product; the replenishment lead time refers to the time interval from the issuance of a replenishment order to the actual receipt of the goods;

[0041] The data processing unit is also used to pre-process the commodity information and obtain the safety inventory value of the specified commodity;

[0042] The data analysis unit is further used to perform replenishment analysis on the designated commodity based on the results obtained by the data acquisition unit and the data processing unit, and determine whether the designated commodity generates a replenishment signal, and calculate the replenishment quantity of the designated commodity corresponding to the generated replenishment signal;

[0043] The data display unit is also used to display the replenishment signal and replenishment quantity corresponding to the specified commodity to relevant personnel.

[0044] As a further solution of the present invention: the safety stock value is obtained as follows:

[0045] SE1. Mark the sales quantity of the specified product in multiple standard periods within the specified period as XS t , t = 1, 2, ... k, k represents the number of multiple standard time periods in a specified period;

[0046] SE2, through Calculate the average value XSp of the sales quantity corresponding to multiple standard time periods within the specified period;

[0047] SE3, through Calculate the standard deviation XB of the sales quantity corresponding to multiple standard time periods within the specified period;

[0048] SE4. Mark the time intervals between multiple replenishments of the specified commodity as BGu, where u = 1, 2, ... e, and e represents the number of replenishments of the specified commodity;

[0049] SE5, Pass Calculate the replenishment cycle BZ of the specified product;

[0050] SE6. Mark the replenishment lead time of the specified product as TQ;

[0051] Then through Calculate the safety stock value K0 of the specified product.

[0052] As a further solution of the present invention: the replenishment analysis method is as follows:

[0053] SF1. Mark the inventory quantity of the specified product at the current time point as K1, and then compare it with the safety stock value K0:

[0054] If K1 is greater than or equal to K0, it means that the specified product does not need to be replenished at the current time point;

[0055] If K1 is less than K0, it means that the specified product needs to be replenished at the current time node, and a replenishment signal is generated. At the same time, the replenishment quantity of the specified product is analyzed and calculated based on the replenishment signal;

[0056] The analysis and calculation method of replenishment quantity is as follows:

[0057] R=XSp×(TQ+BZ)-K1, where R represents the replenishment quantity of the specified commodity.

[0058] Beneficial effects of the present invention:

[0059] The present invention can accurately calculate the inventory value of a specified product at different stages through preprocessing and analysis of commercial data, providing specific quantitative indicators for inventory management and helping enterprises to better understand the status of inventory assets.

[0060] The present invention utilizes the comparison between inventory turnover rate and target value, as well as the analysis of sales volume change rate, to generate different inventory adjustment signals, so that management personnel can adjust inventory levels in a timely and accurate manner, avoid the occurrence of inventory backlog or stockout, and improve the efficiency and accuracy of inventory management.

[0061] The present invention generates an inventory adjustment signal 1 when the inventory turnover rate is not lower than the target value, and the management personnel may consider increasing the inventory to meet the demand growth, which provides a scientific basis for the enterprise's procurement decision and helps to improve the enterprise's responsiveness to market demand.

[0062] The present invention determines the purchasing plan according to the sales change rate, generates inventory adjustment signal one when the sales are on an upward trend, and generates inventory adjustment signal two when the sales are on a downward trend, so that the enterprise can adjust the purchasing strategy in time according to market dynamics and reduce purchasing risks.

[0063] The present invention analyzes the sales quantity of a specified commodity in multiple standard time periods within a specified period, calculates the average value and standard deviation of the sales quantity, combines the replenishment cycle and the replenishment lead time, and accurately calculates the safety stock value, providing a scientific method for enterprises to determine a reasonable safety stock level.

[0064] The present invention performs replenishment analysis on designated commodities, determines whether replenishment is needed based on the comparison between the current inventory quantity and the safety inventory value, and calculates the replenishment quantity, which helps enterprises reduce inventory costs while ensuring inventory safety.

[0065] In the present invention, the data display unit displays the inventory adjustment signal, the replenishment signal and the replenishment quantity to the relevant personnel, so that the management personnel can intuitively understand the inventory status and the purchase demand, facilitate timely decision-making, and improve the operation management efficiency of the enterprise.

[0066] The comprehensive management cloud platform can collect, process and analyze various business data, provide enterprises with comprehensive data analysis and decision-making support, and help enterprises better respond to market changes and improve their competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] The present invention will be further described below in conjunction with the accompanying drawings.

[0068] Figure 1 It is a system block diagram of a comprehensive management cloud platform based on commercial data of the present invention.

[0069] Figure 2 It is a flow chart of a data processing unit in a comprehensive management cloud platform based on commercial data of the present invention. DETAILED DESCRIPTION

[0070] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0071] Embodiment 1

[0072] See also Figure 1 As shown, the present invention is a comprehensive management cloud platform based on business data, including:

[0073] A data collection unit for collecting commercial data of each product;

[0074] Business data includes product cost of products, inventory quantity of products;

[0075] A data processing unit for pre-processing business data;

[0076] The preprocessing method is as follows:

[0077] SA1. Select a specified period and obtain the inventory quantity of the specified product at the beginning of the specified period, and record it as K1;

[0078] At the same time, the corresponding product cost of the specified product is extracted and marked as CB;

[0079] SA2. Calculate the product inventory value CE of the specified product at the beginning of the specified period through CE = K1 × CB;

[0080] SA3. At the end of the specified period, obtain the inventory quantity of the specified product and mark it as K2;

[0081] At the same time, within the specified period, the new inventory quantity of the specified product is obtained and marked as RK;

[0082] SA4. Calculate the product inventory value ME of the specified product at the beginning of the specified period by ME = (K2-RK) × CB;

[0083] A data analysis unit for computing and processing business data;

[0084] The calculation process is as follows:

[0085] SB1. Obtain the product inventory value at the beginning and end of the specified period, and mark them as CE and ME respectively;

[0086] At the same time, obtain the sales cost in the specified period and mark it as XC;

[0087] SB2, through Calculate the inventory turnover rate Z within a specified period;

[0088] SB3. Compare the obtained inventory turnover rate with the pre-set target value and determine the purchasing plan for the specified product:

[0089] If the inventory turnover rate is not lower than the target value, it means that the inventory turnover of the designated product is relatively normal, the sales are good, and there is no inventory backlog problem; at the same time, an inventory adjustment signal 1 is generated, and the inventory adjustment signal 1 is used by management personnel to consider increasing inventory to meet the demand growth;

[0090] If the inventory turnover rate is lower than the target value, it means that the specified product has inventory backlog and poor sales. At the same time, the second inventory adjustment signal is generated, which is used by management personnel to adjust the inventory level in time to avoid inventory backlog;

[0091] A data display unit, used for displaying the inventory adjustment signal 1 or the inventory adjustment signal 2 to relevant personnel;

[0092] This embodiment collects the commercial data of the product, including the product cost and inventory quantity, through the data collection unit, so as to provide the enterprise with a comprehensive product information basis, and help the enterprise to accurately understand the financial status and inventory status of the product; the data processing unit pre-processes the commercial data, clarifies the calculation method of the product inventory value within a specified period, so that the enterprise can clearly understand the value changes of the product at different stages; the data analysis unit determines the procurement plan based on the comparison between the inventory turnover rate and the target value, which can help the enterprise to adjust the inventory level in time, avoid inventory backlog or meet the demand growth, and improve the capital utilization efficiency and sales efficiency; the data display unit displays the inventory adjustment signal to the relevant personnel, so that the enterprise managers can make decisions quickly and improve the operational management efficiency of the enterprise.

[0093] Embodiment 2

[0094] As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of the present embodiment is different from that of the first embodiment only in that:

[0095] Business data also includes sales of products;

[0096] The preprocessing method is also as follows:

[0097] SC1. In the specified period, the specified period is divided into several standard periods. Then, all orders of the specified product in each standard period are obtained in sequence according to the time series, and the sales of each order are extracted. Then, the sales of each order in the standard period is marked as X. i，j ;

[0098] Where i = 1, 2, ... n, n represents the quantity value of the standard period, j = 1, 2, ... m, m represents the quantity value of all orders in the standard period;

[0099] SC2, let i be 1, 2, ... n;

[0100] Then through Calculate the sales volume D of the specified product in each standard period i ;

[0101] The calculation process is also as follows:

[0102] SD1. Sales volume of the specified product in each standard period D i ;

[0103] SD2, through Calculate the sales change rate B within the specified period;

[0104] SD3. Determine the purchasing plan for the specified product based on the positive or negative value of the sales change rate B:

[0105] When the B value is positive, it indicates that the sales volume in the specified period is on an upward trend, and an inventory adjustment signal 1 is generated. The inventory adjustment signal 1 is used by managers to consider increasing inventory to meet the demand growth;

[0106] When the B value is negative, it means that the sales volume in the specified period is on a downward trend, and the second inventory adjustment signal is generated at the same time. The second inventory adjustment signal is used by management personnel to adjust the inventory level in time to avoid inventory backlog;

[0107] Based on the first embodiment, this embodiment adds product sales as business data, so that the enterprise can have a more comprehensive understanding of the market performance of the product; divides the specified period into several standard time periods, obtains the sales of each time period, and can analyze the sales trend of the product in more detail, providing a basis for the enterprise to formulate a more accurate procurement plan; determines the procurement plan through the sales change rate, and generates inventory adjustment signal 1 when the sales are on an upward trend, which helps the enterprise to increase inventory in advance to meet the demand growth; generates inventory adjustment signal 2 when the sales are on a downward trend, so that the enterprise can adjust the inventory level in time to avoid inventory backlog.

[0108] Embodiment 3

[0109] See also Figure 1 and Figure 2 As shown, as the third embodiment of the present invention, when the present application is implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments, and the difference between the technical solution of this embodiment and the first and second embodiments is only in this embodiment;

[0110] The data collection unit also obtains commodity information of the designated commodity according to the inventory adjustment signal 1;

[0111] Product information includes the inventory quantity of a specified product at the current time node, the sales quantity of a specified product in multiple standard time periods within a specified period, the replenishment lead time of a specified product, and the time interval between multiple replenishments of a specified product;

[0112] Among them, the replenishment lead time refers to the time interval from the issuance of the replenishment order to the actual receipt of the goods;

[0113] The data processing unit is also used to pre-process the product information;

[0114] The preprocessing method is as follows:

[0115] SE1. Mark sales quantity

[0116] Mark the sales quantity of the specified product in multiple standard time periods within the specified period as XS t , t = 1, 2, ... k, k represents the number of multiple standard time periods in a specified period;

[0117] SE2. Calculate the average sales quantity

[0118] pass Calculate the average value XSp of the sales quantity corresponding to multiple standard time periods within the specified period;

[0119] SE3. Calculate the standard deviation of sales quantity

[0120] pass Calculate the standard deviation XB of the sales quantity corresponding to multiple standard time periods within the specified period;

[0121] SE4. Mark replenishment time interval

[0122] The time intervals between multiple replenishments of a specified commodity are marked as BGu, where u = 1, 2, ... e, and e represents the number of replenishments of the specified commodity;

[0123] SE5. Calculate replenishment cycle

[0124] pass Calculate the replenishment cycle BZ of the specified product;

[0125] SE6. Calculate safety stock value

[0126] Mark the replenishment lead time of the specified product as TQ;

[0127] Then through Calculate the safety stock value K0 of the specified product;

[0128] The data analysis unit is also used to perform replenishment analysis on the specified commodity based on the results obtained by the data collection unit and the data processing unit:

[0129] The replenishment analysis is as follows:

[0130] Mark the inventory quantity of the specified product at the current time point as K1, and then compare it with the safety stock value K0:

[0131] If K1 is greater than or equal to K0, it means that the specified product does not need to be replenished at the current time point;

[0132] If K1 is less than K0, it means that the specified product needs to be replenished at the current time node, and a replenishment signal is generated. At the same time, the replenishment quantity of the specified product is analyzed and calculated based on the replenishment signal;

[0133] The analysis and calculation method of replenishment quantity is as follows:

[0134] R=XSp×(TQ+BZ)-K1

[0135] R represents the replenishment quantity of the specified product;

[0136] The data display unit is also used to display the replenishment signal and replenishment quantity corresponding to the specified product to relevant personnel;

[0137] In this embodiment, the data acquisition unit obtains the commodity information of the designated commodity according to the inventory adjustment signal 1, including the inventory quantity, sales quantity, replenishment lead time and replenishment time interval, etc., so as to provide detailed data support for the enterprise to conduct more in-depth inventory management; the data processing unit pre-processes the commodity information, calculates the average and standard deviation of the sales quantity, the replenishment cycle and the safety stock value, so that the enterprise can scientifically determine the inventory level and improve the accuracy and rationality of inventory management; the data analysis unit performs replenishment analysis on the designated commodity, determines whether replenishment is needed according to the comparison between the current inventory quantity and the safety stock value, and calculates the replenishment quantity, which helps the enterprise to replenish inventory in time, avoid out-of-stock situations and improve customer satisfaction; the data display unit displays the replenishment signal and its replenishment quantity to relevant personnel, so that enterprise managers can quickly make replenishment decisions and improve the efficiency and accuracy of inventory management.

[0138] Embodiment 4

[0139] As the fourth embodiment of the present invention, when the present application is specifically implemented, compared with the first, second and third embodiments, the technical solution of this embodiment is to combine and implement the solutions of the above-mentioned first, second and third embodiments.

[0140] This embodiment combines the solutions of Embodiment 1, Embodiment 2 and Embodiment 3, and provides enterprises with a comprehensive, detailed and scientific business data integrated management cloud platform, which can meet the management needs of enterprises in different aspects; through the collection, preprocessing and analysis of business data such as product costs, inventory quantities, sales, and in-depth mining and replenishment analysis of commodity information, it provides enterprises with more accurate decision-making support and improves the operational management efficiency and competitiveness of enterprises.

[0141] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0142] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A comprehensive management cloud platform based on business data, characterized in that: include: A data collection unit for collecting commercial data of each product; Business data includes product costs of products, inventory quantities of products, and sales of products; A data processing unit, used for preprocessing the business data and transmitting the preprocessing results to the data analysis unit; A data analysis unit, used for calculating and processing the business data, and obtaining an inventory adjustment signal 1 or an inventory adjustment signal 2 for adjusting the inventory level; wherein the inventory adjustment signal 1 is used to provide a suggestion for increasing the inventory of a specified commodity; and the inventory adjustment signal 2 is used to provide a suggestion for reducing the inventory of a specified commodity; The data display unit is used to display the inventory adjustment signal 1 or the inventory adjustment signal 2 to relevant personnel.

2. The integrated management cloud platform based on business data according to claim 1, characterized in that: The preprocessing method is as follows: SA1. Select a specified period and obtain the inventory quantity of the specified product at the beginning of the specified period, and record it as K1; At the same time, the corresponding product cost of the specified product is extracted and marked as CB; SA2, multiply K1 by CB, and obtain the product inventory value CE of the specified product at the beginning of the specified period; SA3. At the end of the specified period, obtain the inventory quantity of the specified product and mark it as K2; At the same time, within the specified period, the new inventory quantity of the specified product is obtained and marked as RK; SA4. Calculate the product inventory value ME of the specified product at the beginning of the specified period through ME = (K2-RK) × CB.

3. The integrated management cloud platform based on business data according to claim 2, characterized in that: The calculation process is as follows: SB1. Obtain the product inventory value at the beginning and end of the specified period, and mark them as CE and ME respectively; At the same time, obtain the sales cost in the specified period and mark it as XC; SB2, through Calculate the inventory turnover rate Z within a specified period; SB3. Compare the obtained inventory turnover rate with the pre-set target value and determine the purchasing plan for the specified product: If the inventory turnover rate is not lower than the target value, an inventory adjustment signal 1 is generated; if the inventory turnover rate is lower than the target value, an inventory adjustment signal 2 is generated.

4. The integrated management cloud platform based on business data according to claim 1, characterized in that: The preprocessing method is also as follows: SC1. In the specified period, the specified period is divided into several standard periods, and then all orders of the specified product in each standard period are obtained in sequence according to the time series, and the sales of each order are extracted from them. Then the sales of each order in the standard period are marked as X. i，j ; Where i = 1, 2, ... n, n represents the quantity value of the standard period, j = 1, 2, ... m, m represents the quantity value of all orders in the standard period; SC2, let i be 1, 2, ... n; Then, the average sales value of all orders in each standard period is calculated and recorded as the period sales value D of the specified product in each standard period. i .

5. The integrated management cloud platform based on business data according to claim 4, characterized in that: The calculation process is also as follows: SD1. Sales volume of the specified product in each standard period D i ; SD2, through Calculate the sales change rate B within the specified period; SD3. Determine the purchasing plan for the specified product based on the positive or negative value of the sales change rate B: When the B value is positive, it indicates that the sales volume in the specified period is on an upward trend, and the inventory adjustment signal 1 is generated; When the B value is negative, it means that the sales volume in the specified period is on a downward trend, and inventory adjustment signal 2 is generated.

6. The integrated management cloud platform based on business data according to claim 1, characterized in that: The data collection unit also obtains commodity information of the designated commodity according to the inventory adjustment signal 1; Product information includes the inventory quantity of the specified product at the current time node, the sales quantity of the specified product in multiple standard time periods within a specified period, the replenishment lead time of the specified product, and the time interval between multiple replenishments of the specified product; the replenishment lead time refers to the time interval from the issuance of a replenishment order to the actual receipt of the goods; The data processing unit is also used to pre-process the commodity information and obtain the safety inventory value of the specified commodity; The data analysis unit is further used to perform replenishment analysis on the designated commodity based on the results obtained by the data acquisition unit and the data processing unit, and determine whether the designated commodity generates a replenishment signal, and calculate the replenishment quantity of the designated commodity corresponding to the generated replenishment signal; The data display unit is also used to display the replenishment signal and replenishment quantity corresponding to the specified commodity to relevant personnel.

7. The integrated management cloud platform based on business data according to claim 6, characterized in that: The safety stock value is obtained as follows: SE1. Mark the sales quantity of the specified product in multiple standard periods within the specified period as XS t , t = 1, 2, ... k, k represents the number of multiple standard time periods in a specified period; SE2. Calculate the average sales quantity corresponding to multiple standard time periods within the specified period and mark it as XSp; SE3. Then calculate the standard deviation of the sales quantity corresponding to multiple standard time periods within the specified period and mark it as XB; SE4. Mark the time intervals between multiple replenishments of the specified commodity as BGu, where u = 1, 2, ... e, and e represents the number of replenishments of the specified commodity; SE5, calculate the average value of all BGu and mark it as the replenishment cycle BZ of the specified product; SE6. Mark the replenishment lead time of the specified product as TQ; Then through Calculate the safety stock value K0 of the specified product.

8. The integrated management cloud platform based on business data according to claim 6, characterized in that: The replenishment analysis is as follows: SF1. Mark the inventory quantity of the specified product at the current time point as K1, and then compare it with the safety stock value K0: If K1 is greater than or equal to K0, it means that the specified product does not need to be replenished at the current time point; If K1 is less than K0, it means that the specified product needs to be replenished at the current time node, and a replenishment signal is generated. At the same time, the replenishment quantity of the specified product is analyzed and calculated based on the replenishment signal.

9. The integrated management cloud platform based on business data according to claim 8, characterized in that: The analysis and calculation method of replenishment quantity is as follows: R=XSp×(TQ+BZ)-K1, where R represents the replenishment quantity of the specified commodity.

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