E-commerce expense management method, device, equipment, medium and product

Abstract

The application provides an e-commerce expense management method, device, equipment, medium and product, and relates to the technical field of data management. The method comprises the following steps: determining the business type of a sales subject; monitoring the order data of the sales subject in real time according to the business type, wherein the type of the order data corresponds to the business type; according to the currently monitored order data, the use of the price reduction fee is counted from at least one of the sales subject dimension, the business type dimension, the order dimension and the commodity category dimension; and according to the use of the price reduction fee counted in a statistical period, at least one of the following operations is performed: through the connection with a financial marketing expense system, the price reduction fee in the statistical period is automatically handled; and a suggested transaction unit price of a product related to the order data is generated. In this way, the e-commerce expenses are counted and managed in a low-cost, real-time and accurate manner.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data management, and particularly relates to an e-commerce expense management method, device, equipment, medium and product. BACKGROUND

[0002] At present, the management mode of the expenses involved in the product sales process of an enterprise is that the data in the product sales process of each shop in an e-commerce platform is reported, and the data reported by each shop is manually counted by a staff to perform expense management according to the counting result. Since different platforms use different standards, the data formats reported are inconsistent, which makes manual counting difficult, and the manually counted data has the problems of low accuracy and timeliness and high counting cost. SUMMARY

[0003] The e-commerce expense management method, device, equipment, medium and product provided by the embodiments of the present application solve the problems of high difficulty, high cost, low accuracy and timeliness of manual management of e-commerce expenses.

[0004] In a first aspect, to achieve the above object, the embodiments of the present application provide an e-commerce expense management method, comprising:

[0005] determining a business type of a sales subject;

[0006] monitoring order data of the sales subject in real time according to the business type, wherein the type of the order data corresponds to the business type;

[0007] according to the currently monitored order data, counting the use of a price reduction expense from at least one of a sales subject dimension, a business type dimension, an order dimension and a commodity category dimension;

[0008] according to the use of the price reduction expense counted in a statistical period, performing at least one of the following operations:

[0009] automatically handling the price reduction expense in the statistical period by interfacing with a financial marketing expense system;

[0010] generating a recommended transaction unit price of a product related to the order data.

[0011] The business type includes at least one of the following: a direct supply type, a direct supply and delivery type, a consignment type, a direct operation type and a direct operation and warehousing type.

[0012] When the business type is the direct operation type, the direct operation and warehousing type, the consignment type or the direct supply and delivery type, the type of the order data includes a sales order and / or an after-sales order.

[0013] In a case where the business type is a direct supply type, the type of the order data includes a purchase sales order and / or an after-sales order.

[0014] According to the order data currently monitored, the use of the markdown fee is counted from at least one of the dimensions of the sales subject, the business type, the order, and the product category, including:

[0015] According to the product code field in the order data currently monitored, the standard unit price corresponding to the order data is obtained.

[0016] In a case where the type of the order data currently monitored is a sales order, the use amount of the markdown fee corresponding to the order data is determined according to the standard unit price, the product quantity field, and the actual payment price field in the order data.

[0017] In a case where the type of the order data currently monitored is a purchase sales order, the use amount of the markdown fee corresponding to the order data is determined according to the standard unit price, the product quantity field, and the actual payment amount field in the order data.

[0018] In a case where the type of the order data currently monitored is an after-sales order, the use amount of the markdown fee corresponding to the order data is determined according to the product quantity field in the after-sales order and the actual payment unit price corresponding to the sales order or the purchase sales order associated with the after-sales order.

[0019] According to the use amount of the markdown fee corresponding to the order data, the use of the markdown fee is counted from at least one of the dimensions of the sales subject, the business type, the order, and the product category.

[0020] According to the product code field in the order data currently monitored, the standard unit price corresponding to the order data is obtained, including:

[0021] In a case where the product corresponding to the product code field is a product other than a target product set in advance, the standard unit price is obtained.

[0022] According to the order data currently monitored, the use of the markdown fee is counted from at least one of the dimensions of the sales subject, the business type, the order, and the product category, and the method further includes:

[0023] Obtain commission information input by a first user; wherein the first user is a user corresponding to a brand merchant;

[0024] According to the commission information, generate a difference adjustment order; wherein the difference adjustment order includes a difference adjustment sales order and a difference adjustment after-sales order.

[0025] adjust the use of the markdown fee in the current statistics according to the amount field in the differential sales order and the amount field in the differential post-sales order.

[0026] According to the current monitored order data, the use of the markdown fee is counted from at least one of the sales subject dimension, the business type dimension, the order dimension, and the commodity category dimension, and the method further comprises:

[0027] According to the use of the markdown fee counted from the sales subject dimension, the amount of markdown fee used by the sales subject is obtained.

[0028] If the ratio of the amount of markdown fee used by the sales subject to the markdown fee quota applied by the sales subject is greater than a first threshold value, an early warning information is sent to the user corresponding to the sales subject.

[0029] According to the use of the markdown fee counted in a statistical period, the markdown fee in the statistical period is automatically handled by interfacing with a financial marketing cost system, including:

[0030] In the case where the sales subject does not apply for a markdown fee quota, any of the following operations is performed:

[0031] In the case where the amount of markdown fee used by the sales subject is greater than zero, a first request is sent to the financial marketing cost system, the first request being used to request to apply for additional markdown fee quota;

[0032] In the case where the amount of markdown fee used by the sales subject is less than zero, the amount of markdown fee used by the sales subject is reversed to a target sales subject;

[0033] In the case where the sales subject has applied for a markdown fee quota, any of the following operations is performed:

[0034] In the case where the amount of markdown fee used by the sales subject is greater than zero, a second request is sent to the financial marketing cost system, wherein the second request is used to request to close the application single line of the markdown fee quota, and the second request is also used to request additional markdown fee quota according to the amount of markdown fee used by the sales subject;

[0035] In the case where the amount of markdown fee used by the sales subject is zero, a third request is sent to the financial marketing cost system, wherein the third request is used to request to close the application single line of the markdown fee quota;

[0036] In a case where the discount cost amount used by the sales subject is less than zero, the third request is sent to the financial marketing cost system, and the discount cost amount used by the sales subject is pushed back to the target sales subject.

[0037] According to the current monitored order data, the use of the discount cost is counted from at least one of the sales subject dimension, the business type dimension, the order dimension, and the commodity category dimension, and the method further comprises:

[0038] At a preset time of one of the statistical periods, the discount cost amount currently used by the sales subject is obtained;

[0039] According to the current discount cost amount used, the discount cost amount used in the last statistical period adjacent to the current statistical period, and the discount cost amount used in the Nth statistical period in the previous year adjacent to the current year, the discount cost quota of the next statistical period adjacent to the current statistical period is predicted, wherein the current statistical period is the Nth statistical period of the current year, and N is an integer;

[0040] A fourth request is sent to the financial marketing cost system, and the fourth request is used to apply for the discount cost quota of the next statistical period adjacent to the current statistical period.

[0041] According to the use of the discount cost counted in one statistical period, a recommended transaction unit price of a product related to the order data is generated, comprising:

[0042] According to the use of the discount cost counted in one statistical period, the discount cost usage amount corresponding to the same type of product is summarized;

[0043] According to the standard unit price corresponding to the same type of product, the sales quantity of the same type of product in the statistical period, and the discount cost usage amount corresponding to the same type of product, the transaction unit price of the same type of product in the statistical period is determined.

[0044] According to the transaction unit price, the recommended transaction unit price is generated, and the recommended transaction unit price is used to guide the business personnel to set the actual transaction unit price of the sales subject.

[0045] Secondly, to achieve the above object, the embodiment of the present application provides an e-commerce cost management device, comprising:

[0046] A determination module is configured to determine the business type of a sales subject.

[0047] A monitoring module is configured to monitor order data of the sales subject in real time according to the business type, wherein the type of the order data corresponds to the business type.

[0048] A statistical module is configured to statistically analyze the use of the markdown fee from at least one of a sales subject dimension, a business type dimension, an order dimension, and a commodity category dimension according to the currently monitored order data.

[0049] A processing module is configured to perform at least one of the following operations according to the statistical analysis of the use of the markdown fee in a statistical period:

[0050] automatically close the markdown fee in the statistical period by interfacing with a financial marketing fee system;

[0051] generate a recommended transaction unit price of a product related to the order data.

[0052] In a third aspect, to achieve the above object, an embodiment of the present application provides an e-commerce fee management device, which comprises a transceiver, a processor, a memory, and a program stored in the memory and executable on the processor; the transceiver transmits and receives data under the control of the processor, and the processor implements the e-commerce fee management method according to the first aspect when executing the program.

[0053] In a fourth aspect, to achieve the above object, an embodiment of the present application provides a readable storage medium, which stores a program or instructions, and the program or instructions are executable on a processor to implement the e-commerce fee management method according to the first aspect.

[0054] In a fifth aspect, to achieve the above object, an embodiment of the present application provides a computer program product, which comprises computer instructions, and the computer instructions are executable on a processor to implement the e-commerce fee management method according to the first aspect.

[0055] The beneficial effects of the above technical solutions of the present application are as follows:

[0056] In the embodiments of the present application, first, the business type of the sales subject is determined; second, the order data of the sales subject is monitored in real time according to the business type, wherein the type of the order data corresponds to the business type; in this way, different types of order data are automatically monitored for different business types, solving the problem that different platforms use different standards, resulting in inconsistent data reporting formats, making manual statistics difficult; third, the use of the price reduction fee is counted from at least one of the sales subject dimension, the business type dimension, the order dimension and the commodity category dimension according to the currently monitored order data, so that the use of the price reduction fee of the sales subject is intelligently counted from different dimensions, improving the accuracy and timeliness of data statistics, and reducing the statistical cost; finally, according to the use of the price reduction fee counted in a statistical period, at least one of the following operations is performed: through the interface with the financial marketing fee system, the price reduction fee in the statistical period is automatically handled; the recommended transaction unit price of the product related to the order data is generated. In this way, through the interaction with the financial marketing fee system, the automation management of the financial link is realized, and the data error caused by manual operation is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 The flowchart of the e-commerce fee management method of the embodiments of the present application;

[0058] Figure 2 The schematic diagram of counting the use of the price reduction fee from the business type dimension in the embodiments of the present application;

[0059] Figure 3 The schematic diagram of counting the use of the price reduction fee from the sales subject dimension in the embodiments of the present application;

[0060] Figure 4 The structural schematic diagram of the e-commerce fee management device of the embodiments of the present application;

[0061] Figure 5 The structural schematic diagram of the e-commerce fee management device of the embodiments of the present application. DETAILED DESCRIPTION

[0062] In order to make the technical problems, technical solutions and advantages of the present application clearer, the following will be described in detail in conjunction with the drawings and specific embodiments.

[0063] It should be understood that the reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment is included in at least one embodiment of the application. The appearances of the phrase "in one embodiment" or "in an embodiment" in various places in the specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics can be combined in any suitable manner in one or more embodiments.

[0064] In various embodiments of the present application, it should be understood that the size of the serial number of the following processes does not mean the order of execution, and the execution order of the processes should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0065] In addition, the terms "system" and "network" are often used interchangeably herein.

[0066] In the embodiments provided in the present application, it should be understood that "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should also be understood that the determination of B according to A does not mean that B is determined only according to A, but B can also be determined according to A and / or other information.

[0067] Embodiments of the present application provide an e-commerce expense management method, as shown in Figure 1 The method comprises the following steps:

[0068] Step 101, determining the business type of the sales subject; exemplary, the sales subject includes the subject of store, e-commerce platform and the like selling product (such as milk powder).

[0069] Step 102, according to the business type, real-time monitoring the order data of the sales subject, wherein the type of the order data corresponds to the business type.

[0070] As a specific implementation, the business type includes at least one of the following: direct supply type, direct supply type, consignment type, direct operation type and direct operation type. Next, the above various business types are described:

[0071] Direct operation type: brand directly operates the store, and the brand's own warehouse directly sends goods to the consumer, wherein the warehouse right belongs to the brand, and the brand and the consumer are real sales and real settlement.

[0072] Direct operation type: brand directly operates the store, and the brand's own warehouse directly sends goods to the consumer, wherein the warehouse right belongs to the brand, and the brand and the consumer are real sales and real settlement.

[0073] Direct supply type: brand directly supplies goods to e-commerce platform, and goods are sent to e-commerce platform warehouse for direct delivery to consumers, wherein the ownership of goods belongs to the platform, and the brand and the e-commerce platform settle accounts according to the account period, i.e. buyout mode.

[0074] Direct supply type: brand directly supplies goods to e-commerce platform, and goods are sent to e-commerce platform warehouse for direct delivery to consumers, wherein the ownership of goods belongs to the platform, and the brand and the e-commerce platform settle accounts according to the account period, i.e. buyout mode.

[0075] Direct supply type: brand directly supplies goods to e-commerce platform, and goods are sent to e-commerce platform warehouse for direct delivery to consumers, wherein the ownership of goods belongs to the platform, and the brand and the e-commerce platform settle accounts according to the account period, i.e. buyout mode.

[0076] When the business type is the direct operation type, the direct operation warehouse type, the consignment type or the direct supply type, the type of the order data includes a sales order and / or an after-sales order; for example, the sales order includes at least part of the following fields: order number, product code, purchase quantity, actual payment price, coupon code, coupon amount, commission type, commission amount, whether there is a ticket, etc.; wherein the "whether there is a ticket" field is used to indicate whether the sales order is issued with an invoice.

[0077] When the business type is the direct supply type, the type of the order data includes a purchase sales order and / or an after-sales order. For example, the purchase sales order includes at least part of the following fields: direct supply e-commerce platform, purchase order number, purchase amount, purchase product code, purchase quantity, actual payment amount, actual purchase quantity, etc.

[0078] For example, an after-sales order may include at least some of the following fields: basic information (including subfields such as the original order number associated with the after-sales order, after-sales order number, after-sales order creator, store name, after-sales order status, store type / business type, original order source, and after-sales order submission time), member information (including subfields such as member code and member name), after-sales reason (including subfields such as after-sales type, receipt status, after-sales reason, remarks, uploaded after-sales pictures, and uploaded after-sales videos), and after-sales product (including the applied after-sales product code, applied after-sales product name, defect, original order quantity, original order actual points used, original order amount, physical product code, physical quantity, after-sales unit price, after-sales amount, applied after-sales quantity, platform actual refund amount, and platform actual refund amount). The data includes subfields such as quantity returned, after-sales product warehouse receipt scan details (including product number, product name, product batch, expiration date, logistics code, points status, issued sub-warehouse, issued font name, original order number, return receipt number, return receipt product amount, etc.), after-sales replacement / reissue products (including replacement / reissue product code, replacement / reissue product name, replacement / reissue product quantity, amount, replacement / reissue order number, replacement / reissue courier company, logistics tracking number, etc.), after-sales delivery address (including recipient name, recipient mobile phone number, detailed address, etc.), after-sales processing records (including return courier company, return courier tracking number, whether the entire order has been refunded points / amount / rights, whether the warehouse has received it, replacement / reissue order number, etc.), etc.

[0079] Step 103: Based on the currently monitored order data, statistically analyze the usage of price reduction fees from at least one of the following dimensions: sales entity, business type, order, and product category. For example, price reduction fees are incurred due to the difference between the standard unit price and the actual transaction price of a product. This enables the statistical analysis and real-time viewing of price reduction fee data for e-commerce business types, stores, product series, SKUs, and various fee scenarios. Product categories can include products of the same category, products of the same series within the same category, etc.

[0080] Step 104: Based on the usage of the price reduction fees as statistically analyzed within a statistical period, perform at least one of the following operations:

[0081] By integrating with the financial and marketing expense system, the system automatically processes and closes out price reduction expenses within the statistical period. This automates the financial process, reducing manual operations and data entry, thereby minimizing data errors. For example, this step can generate a suggested transaction price based on the usage of price reduction expenses as statistically analyzed from the perspective of the sales entity.

[0082] generate a recommended transaction unit price of a product related to the order data, for example, the step can generate the recommended transaction unit price based on the use of the price reduction cost counted from the product category dimension; in this way, the efficiency of e-commerce sales pricing can be effectively improved.

[0083] In the embodiments of the present application, first, the business type of the sales subject is determined; second, the order data of the sales subject is monitored in real time according to the business type, wherein the type of the order data corresponds to the business type; in this way, different types of order data are automatically monitored for different business types, solving the problem that the data reporting format is inconsistent due to the different application standards of different platforms, making manual statistics difficult; third, the use of the price reduction cost is counted from at least one of the sales subject dimension, the business type dimension, the order dimension, and the product category dimension according to the currently monitored order data, so that the use of the price reduction cost of the sales subject is counted in real time and intelligently from different dimensions, improving the accuracy and timeliness of data statistics and reducing the statistical cost; finally, according to the use of the price reduction cost counted in a statistical period, at least one of the following operations is performed: through the interface with the financial marketing cost system, the price reduction cost in the statistical period is automatically handled; a recommended transaction unit price of a product related to the order data is generated. In this way, through the interaction with the financial marketing cost system, the automatic management of the financial link is realized, and the data error caused by manual operation is reduced.

[0084] As an optional implementation, step 103, according to the currently monitored order data, the use of the price reduction cost is counted from at least one of the sales subject dimension, the business type dimension, the order dimension, and the product category dimension, including:

[0085] According to the product code field in the currently monitored order data, the standard unit price corresponding to the order data is obtained; for example, the standard unit price can be a pre-set unit price, for example, a product standard price table can be configured according to the product category and the specific SKU, and the product retail amount (standard unit price) is defined, for example, the standard unit price of the milk powder of the B series of the A brand is C yuan per can. This step can look up the table according to the product code field to obtain the standard unit price of the product corresponding to the product code field.

[0086] In the case where the type of the order data currently monitored is a sales order, the use amount of the markdown fee corresponding to the order data is determined according to the standard unit price, the product quantity field in the order data, and the actual payment price field; for example, this step is: first, a first difference between the standard unit price and the price of the actual payment price field is calculated, and then a product of the first difference and the data in the product quantity field is calculated to obtain the use amount of the markdown fee corresponding to the sales order, wherein the markdown fee amount is positive. In the case where the type of the order data currently monitored is a purchase sales order, the use amount of the markdown fee corresponding to the order data is determined according to the standard unit price, the product quantity field in the order data, and the actual payment amount field; for example, this step is: first, a product of the standard unit price and the data in the product quantity field is calculated, and then a difference between the data in the actual payment amount field and the product is calculated to obtain the use amount of the markdown fee corresponding to the purchase sales order, wherein the use amount of the markdown fee is positive.

[0087] In the case where the type of the order data currently monitored is an after-sales order, the use amount of the markdown fee corresponding to the order data is determined according to the product quantity field in the after-sales order and the actual payment unit price corresponding to the sales order or the purchase sales order associated with the after-sales order; for example, in the case where the after-sales order is associated with a sales order, this step is: first, the data in the actual payment price field in the sales order associated with the after-sales order is obtained, second, a first product of the data and the data in the product quantity field in the after-sales order is calculated, third, a second product of the data in the product quantity field in the after-sales order and the corresponding standard unit price is calculated, and finally, a difference between the second product and the first product is calculated to obtain the use amount of the markdown fee corresponding to the after-sales order, wherein the use amount of the markdown fee is negative. In the case where the after-sales order is associated with a purchase sales order, this step is: first, a first data in the actual payment amount field in the purchase sales order associated with the after-sales order is obtained, second, a first product of the data in the product quantity field in the after-sales order and the corresponding standard unit price is calculated, and finally, a difference between the first product and the first data is calculated to obtain the use amount of the markdown fee corresponding to the after-sales order, wherein the use amount of the markdown fee is negative.

[0088] Here, it should be noted that the after-sales order is the order corresponding to the return. The return markdown fee is the markdown fee actually received by the brand corresponding to the return, and therefore, the corresponding markdown fee needs to be released according to the actual use amount of the source order of the return. That is, in the return scenario, the system automatically finds the source of the order according to the actual two-dimensional code of the product to find the original use amount of the markdown fee of the order, and calculates the amount of the fee to be released according to the actual return quantity.

[0089] According to the use amount of the discount fee corresponding to the order data, the use of the discount fee is counted from at least one of the sales subject dimension, the business type dimension, the order dimension, and the commodity category dimension. For example, this step is to accumulate the use amount of the discount fee corresponding to all order data of any of the aforementioned dimensions.

[0090] As a specific implementation, the step "obtaining a standard unit price corresponding to the order data according to the currently monitored commodity code field in the order data" in the foregoing optional implementation includes:

[0091] In the case where the product corresponding to the commodity code field is a product other than the pre-set target product, the standard unit price is obtained. Illustratively, the target product includes, for example, a promotional product or a product to be sold by another brand, where the product to be sold by another brand is, for example, a welfare product. Taking a product sold by a brand, i.e., milk powder, as an example, the product to be sold by another brand is, for example, a stroller, a feeding bottle, or other welfare products.

[0092] Here, it should be noted that when a brand is listed on an e-commerce platform, the order will include promotional products or products to be sold by another brand. The cost of this part is not within the cost range of the corresponding financial settlement subject, and the product needs to be configured in advance to be excluded, and the cost use amount statistics are all excluded from the calculation of this product.

[0093] Further, as an optional implementation, after step 103, according to the currently monitored order data, the use of the discount fee is counted from at least one of the sales subject dimension, the business type dimension, the order dimension, and the commodity category dimension, the method further includes:

[0094] obtaining commission information input by a first user; wherein the first user is a user corresponding to a brand; illustratively, the commission information can be a commission provided by a brand for a host to sell goods, a personal commission for community group buying, a personal rebate, a small amount of compensation for a consumer order, etc.

[0095] According to the commission information, a difference adjustment order is generated; wherein the difference adjustment order includes a difference adjustment sales order and a difference adjustment after-sales order; wherein the difference adjustment order is an order for adjusting the use amount of the discount fee. The amount in the difference adjustment sales order or the difference adjustment after-sales order is the same as the amount corresponding to the commission information, but the product quantity in the difference adjustment sales order or the difference adjustment after-sales order is zero, i.e., no product is shipped out of the warehouse or no product is shipped into the warehouse.

[0096] According to the amount field in the adjustment sales order and the amount field in the adjustment after-sales order, the use of the current statistics of the markdown fee is adjusted. For example, when the use amount of the markdown fee is adjusted, the amount in the adjustment sales order is consistent with the amount corresponding to the commission information, and the amount in the adjustment after-sales order is zero. When the use amount of the markdown fee is increased, the amount in the adjustment sales order is zero, and the amount in the adjustment after-sales order is consistent with the amount corresponding to the commission information.

[0097] It should be noted here that the adjustment order markdown fee is based on the nature of the e-commerce platform, which has different scenarios such as live streaming commission, group purchase commission, and community commission. There is no regular billing process for such commissions, but they are actually the actual investment of the company. Such fees are in the form of adjustment orders, and the total adjustment amount is allocated to each SKU shipped in the month (actually adjusting the actual transaction price of the SKU). Supports adjustment and reduction.

[0098] In combination with the above multiple implementation manners, it can be known that the calculation rule of the markdown fee use amount in the embodiment of the present application is:

[0099] The final markdown fee use amount = the actual markdown fee use amount - the markdown fee use amount of after-sales returns + the adjustment amount of the current statistical period; wherein the actual markdown fee use amount = (standard unit price - actual transaction unit price) * actual sales quantity; the markdown fee use amount of after-sales returns = (standard unit price - actual transaction unit price corresponding to returns) * actual return quantity; the adjustment amount of the current statistical period is the amount corresponding to the commission information; wherein the adjustment amount of the current statistical period is a signed data; the actual transaction unit price can be the same or different for each sales order / purchase sales order, therefore, the actual markdown fee use amount can be the cumulative markdown fee use amount corresponding to each sales order / purchase sales order.

[0100] Further, as another optional implementation manner, after step 103, according to the current monitored order data, the use of the markdown fee is counted from at least one of the sales subject dimension, the business type dimension, the order dimension and the commodity category dimension, the method further comprises:

[0101] According to the use of the markdown fee counted from the sales subject dimension, the amount of the markdown fee used by the sales subject is obtained;

[0102] If the ratio of the amount of the markdown fee used by the sales subject to the markdown fee quota applied by the sales subject is greater than a first threshold value, for example, the first threshold value is 80%, an early warning information is sent to the user corresponding to the sales subject. To remind the user to add the markdown fee quota, or adjust the marketing scheme.

[0103] That is, the above optional implementation is to compare the total amount of the discount fee used in the month with the discount fee quota applied in the month in the sales subject dimension (such as the store dimension), support the automatic push of use early warning to the relevant store person in charge when the use amount exceeds a specific use percentage, and support the automatic push of use early warning to the relevant store person in charge when the use amount exceeds a specific use percentage.

[0104] As an optional implementation, in step 104, according to the use of the discount fee in a statistical period, the discount fee in the statistical period is automatically handled through the interface with the financial marketing fee system, including:

[0105] In the case where the sales subject does not apply for the discount fee quota, any of the following operations is performed:

[0106] In the case where the sales subject has used the discount fee amount greater than zero, a first request is sent to the financial marketing fee system, and the first request is used to request to apply for additional discount fee quota; wherein the additional discount fee quota is the discount fee amount used in the statistical period.

[0107] In the case where the sales subject has used the discount fee amount less than zero, the discount fee amount used by the sales subject is transferred to a target sales subject; here, “transfer” means, for example, transferring the discount fee amount less than zero used to a specific sales subject. In addition, for example, the case where the discount fee amount used is less than zero is that the discount fee amount released by the after-sales order in the statistical period is greater than the discount fee amount used by the sales order / purchase sales order.

[0108] In the case where the sales subject has applied for the discount fee quota, any of the following operations is performed:

[0109] In the case where the sales subject has used the discount fee amount greater than zero, a second request is sent to the financial marketing fee system, wherein the second request is used to request to close the application line of the discount fee quota, and the second request is also used to request to apply for additional discount fee quota according to the discount fee quota used by the sales subject; that is, this step needs to close the discount fee quota applied by the sales subject at the beginning of the statistical period, and reapply for additional discount fee quota based on the actual discount fee quota used in the statistical period, so that the discount fee amount actually used by the sales subject in the financial marketing fee system is consistent with the discount fee quota applied.

[0110] In the case where the sales subject has used the discount fee amount of zero, a third request is sent to the financial marketing fee system, wherein the third request is used to request to close the application line of the discount fee quota.

[0111] In the case that the discount cost amount used by the sales subject is less than zero, the third request is sent to the financial marketing cost system, and the discount cost amount used by the sales subject is reversed to the target sales subject.

[0112] In the above optional implementation, the execution subject of the embodiment of the application can automatically implement automatic case closing according to the discount cost use amount of the sales subject and connect the financial marketing cost system. In the process of case closing, the previous month discount cost application amount is compared, and in the case of no application amount, insufficient application amount, excessive application amount, and other situations, processes such as automatic cost application, excessive cost closing and re-application are automatically executed. The specific rules are as follows:

[0113] 1) The sales subject (such as a store) does not have an initial discount cost amount application sheet, but has a discount cost use amount, a discount cost release amount corresponding to a return, and an adjustment amount. The cost addition amount is calculated according to the formula: final discount cost use amount = actual discount cost use amount - discount cost use amount of after-sales return + adjustment amount of the statistical period, and the discount cost amount application is automatically added.

[0114] 2) The sales subject (such as a store) has an initial discount cost amount application sheet, but has no discount cost use amount, no discount cost release amount corresponding to a return, and no adjustment amount. When the cost is added and closed, the data row corresponding to the initial discount cost application sheet is automatically closed.

[0115] 3) The sales subject (such as a distributor) has an initial discount cost amount application sheet, and has a discount cost use amount, a discount cost release amount corresponding to a return, and an adjustment amount. When the cost is added and closed, the original application sheet row is automatically closed, and the discount cost amount application is automatically added according to the above formula.

[0116] 4) The sales subject (such as a distributor) does not have an initial discount cost amount application sheet, and has no discount cost use amount, no discount cost release amount corresponding to a return, and no adjustment amount. The case closing amount is calculated according to the above formula. Wherein:

[0117] ① After settlement according to the formula, the actual cost amount is positive: the discount cost amount application is automatically added according to the positive amount, and the case is closed according to the amount.

[0118] ② After calculation according to the formula, the actual cost amount is negative: A scenario (the return amount is greater than the adjustment amount of the month), B scenario (there is a return amount and the distributor has an increase in the month), and the specified reverse store is combined (all SKUs are reversed to the specified store).

[0119] Further, as an optional implementation, after step 103, according to the current monitored order data, the use of the markdown fee is counted from at least one of the dimensions of the sales subject, the business type, the order, and the product category, and the method further comprises:

[0120] At a preset time of one of the statistical periods, the amount of markdown fee currently used by the sales subject is obtained;

[0121] According to the current amount of markdown fee used, the amount of markdown fee used in the last statistical period adjacent to the current statistical period, and the amount of markdown fee used in the Nth statistical period in the previous year adjacent to the current year, the markdown fee quota of the next statistical period adjacent to the current statistical period is predicted, wherein the current statistical period is the Nth statistical period of the current year, N is an integer, and the statistical period is one month, and the current statistical period is August 2025, then the amount of markdown fee used in the last statistical period adjacent to the current statistical period is the amount of markdown fee used in July 2025, and the amount of markdown fee used in the Nth statistical period in the previous year adjacent to the current year is the amount of markdown fee used in August 2024. The specific prediction method can be mean value, linear or nonlinear fitting.

[0122] A fourth request is sent to the financial marketing fee system, and the fourth request is used to apply for the markdown fee quota of the next statistical period adjacent to the current statistical period.

[0123] That is, the above optional implementation is to automatically estimate the markdown fee quota of the next month at a preset time of each month (such as the 25th of each month) according to the markdown fee progress used this month and the reference actual markdown fee usage amount of last month and the same month last year, and to automatically complete the fee application by connecting the financial system.

[0124] As a specific implementation, in step 104, according to the use of the markdown fee counted in one statistical period, the suggested transaction unit price of the product related to the order data is generated, comprising:

[0125] According to the use of the price reduction cost counted from the commodity category dimension, an actual transaction unit price corresponding to the same commodity category is obtained; for example, the actual transaction unit price corresponding to the same commodity category can be obtained by obtaining the use amount of the price reduction cost corresponding to the same commodity category, and calculating the actual transaction unit price of the same commodity category according to the use amount of the price reduction cost and the actual sales quantity corresponding to the same commodity category; for example, the use amount of the price reduction cost and the actual sales quantity corresponding to the same commodity category are the use amount of the price reduction cost and the sales quantity corresponding to the sales order / purchase sales order in the statistical period.

[0126] According to the actual transaction unit price, the recommended transaction unit price is generated, which is used to guide the business personnel to set the actual transaction unit price of the sales subject. For example, the business personnel can set the actual transaction price of the product according to the recommended transaction unit price in the operation scene combined with different scenes such as discounts, coupons, commissions, etc., so as to effectively improve the pricing efficiency of e-commerce sales.

[0127] Here, it should be noted that the execution subject of the e-commerce cost management method of the embodiments of the present application can be an e-commerce cost management system / device, which can include, for example:

[0128] A business type configuration module is configured to configure the business type of the sales subject.

[0129] For example, the business type can be configured as the aforementioned: direct operation type, direct operation warehouse type, direct supply type, direct supply agent type and consignment type.

[0130] A rule configuration module is configured to configure the cost automatic statistical rule for each business type, including configuring the following rules:

[0131] 1) Configure the statistical dimension corresponding to each business type:

[0132] The e-commerce cost of the direct operation / direct operation warehouse / consignment / direct supply agent business type is counted in the sales order dimension, and specifically, the sales order price and cost related data can be collected in real time, and the specific statistical fields include: order number, commodity code, purchase quantity, actual payment price, coupon code, coupon amount, commission type, commission amount, whether there is a ticket, etc. Field details;

[0133] The direct supply business type is counted in the purchase sales order dimension, and the purchase price related cost data is counted, and the specific statistical fields include: direct supply e-commerce platform, purchase order number, purchase amount, purchase commodity code, purchase quantity, actual payment amount, actual purchase quantity, etc. Field details.

[0134] 2) Configure the standard price of the commodity:

[0135] For example, according to the product category and the specific SKU, the product standard price table is configured, and the product retail amount (i.e. the standard price) is defined.

[0136] 3) Configure the statistical rules of each document (sales order, purchase sales order, return order / after-sales order):

[0137] The order discount fee calculation rule is the product standard price - the actual transaction price of the order product, and the use of the discount fee of each order is recorded, which supports the aggregation according to the SKU and store dimensions;

[0138] The purchase sales order discount fee calculation rule is the product standard price - the actual transaction amount of the purchase order, and the use of the discount fee of each purchase sales order is recorded, which supports the aggregation according to the SKU and e-commerce platform dimensions;

[0139] The return order / after-sales order discount fee is the actual return received by the brand, which needs to be released according to the actual use amount of the source order of the return. In the return scenario, according to the actual two-dimensional code of the product, the system automatically finds the source of the order and finds the discount fee amount originally used by the order, and calculates the amount of fee to be released according to the actual return quantity.

[0140] In addition, specific product discount fee exclusion, when the brand is on the e-commerce platform, the order will have promotional products or some other brand's products for sale, this part of the fee is not within the fee range of the corresponding financial settlement subject, and needs to be configured to exclude products, then the fee use amount statistics excludes the calculation of the product. That is: it is necessary to configure the goods that do not perform discount fee statistics.

[0141] The discount fee of the adjustment order is according to the different nature of the e-commerce platform, there are live broadcast goods return commission, group purchase commission, community commission and other different scenarios, such commission has no formal invoicing process, but it is actually the actual investment of the brand. This type of fee is in the form of an adjustment order, which allocates the total adjustment amount to each SKU shipped in the month (actually adjusts the actual transaction price of the SKU). Supports adjustment increase and adjustment decrease.

[0142] The fee monitoring module is used for real-time fee automatic detection, as shown in Figure 2 and Figure 3 , specifically: according to the transaction amount of each platform and each type of e-commerce order, the discount fee is real-time calculated according to the return situation, and the real-time statistics of the discount fee in the business type, store dimension and order dimension are formed. Among them, the real-time statistics of the discount fee in the business type is as shown in Figure 2 , and the real-time statistics of the discount fee in the store dimension is as shown in Figure 3 .

[0143] The early warning module is used to aggregate the total amount of the discount fee in the store dimension in the current month, compare it with the store fee applied in the current month, support the use of an amount exceeding a specific use percentage, and automatically push the use early warning to the relevant store person in charge.

[0144] The summary module is used to automatically summarize the discount fee use amount of all shipped SKUs of various business scenarios and various stores, and the amount calculation rule is:

[0145] Final fee amount = use amount - use amount of after-sales return (standard factory price - return product unit price) + this month's adjustment amount (reduction);

[0146] Final fee amount = use amount - use amount of after-sales return (standard factory price - return product unit price) - this month's adjustment amount (increase).

[0147] Among them, the “this month's adjustment amount” in the above amount calculation rule is an unsigned number.

[0148] The settlement module is used to automatically add a budget and automatically close a case by connecting with the financial system; specifically, the settlement module automatically connects with the financial marketing fee system according to the e-commerce discount fee use amount to realize automatic case closing. Among them, the process of closing the case needs to compare the last month's fee application amount, such as no application amount, insufficient, excessive, and many other situations, to automatically execute the fee addition application, excessive fee closing and re-application process, and the specific rules are as follows:

[0149] 1. The store does not have an initial fee application sheet, but has use amount, return amount, and adjustment amount related to the discount fee, so the fee addition amount is calculated according to the above formula, and the fee application is automatically added;

[0150] 2. The store has an initial fee application sheet, but has no use amount, return amount, and adjustment amount related to the discount fee, so the discount fee is added and closed, and the application sheet row is automatically closed;

[0151] 3. The distributor has an initial fee application sheet, and has use amount, return amount, and adjustment amount related to the discount fee, so the discount fee is added and closed, the original application sheet row is automatically closed, and the fee application is automatically added according to the above formula;

[0152] 4. The distributor does not have an initial fee application sheet, and has no use amount related to the discount fee, only has return amount and adjustment amount, and the settlement amount is calculated according to the above formula.

[0153] Where, after calculation according to the formula, the actual cost amount is positive: automatically add a cost application in the positive amount, and close the case according to the amount; after calculation according to the formula, the actual cost amount is negative: A scenario (the return amount is greater than the monthly reduction amount), B scenario (there is a return amount and the dealer is increased in the month), then merge according to the specified reverse shop (all SKUs are reversed to the specified shop).

[0154] The price reduction cost application module is used for automatically estimating the next month cost application amount according to the monthly used e-commerce cost progress and the reference actual cost use amount of the last month and the same month last year, and automatically completing the cost application by connecting the financial system on the 25th of each month.

[0155] The unit price recommendation module is used for automatically recommending the actual transaction price of a product; specifically, the e-commerce activity time node can be adapted, the actual transaction price of the product is automatically recommended by the system according to the SKU dimension, the actual transaction price of the product is set by the business in the operation scene in combination with different scenes such as discounts, coupons and commissions, and the efficiency of e-commerce sales pricing is effectively improved.

[0156] In the e-commerce cost management method of the embodiments of the present application, firstly, through the integration of multi-source data of e-commerce platforms and suppliers and the accurate analysis and calculation of various price reduction strategies, the price reduction cost of each order can be accurately calculated, avoiding statistical errors caused by incomplete data or incorrect understanding of price reduction strategies. Compared with the traditional statistical method, the accuracy of price reduction cost statistics is greatly improved, providing reliable data basis for merchants. Secondly, the automatic data collection and processing process can quickly process massive e-commerce transaction data. In the face of a large number of orders during large-scale promotional activities, the price reduction cost can still be calculated in a short time, greatly improving the statistical efficiency and saving labor and time costs. Thirdly, it can adapt to various common price reduction strategies of e-commerce, such as direct discount, full price reduction, coupon issuance and time-limited special price, etc. The method and system of the present application can be effectively applied to different types of goods and different scales of e-commerce business, and have wide applicability. Fourthly, the price reduction cost statistical results can be displayed in the form of intuitive reports or charts, which can help merchants clearly understand the price reduction cost in different dimensions, such as the price reduction cost of various goods and the input-output of various promotional activities. It is helpful for merchants to make quick business decisions, optimize promotional strategies and improve economic efficiency. Fifthly, it supports automatic application, automatic addition, automatic closure and automatic closing of cost use according to various platform shops. It improves the accuracy of financial cost management, reduces manual operation and improves operational efficiency.

[0157] The embodiments of the present application also provide an e-commerce cost management device, as shown in Figure 4 The device comprises:

[0158] The determination module 401 is configured to determine a business type of a sales subject;

[0159] The monitoring module 402 is configured to monitor order data of the sales subject in real time according to the business type, wherein a type of the order data corresponds to the business type;

[0160] The statistical module 403 is configured to statistically analyze a use condition of a discount fee from at least one of a sales subject dimension, a business type dimension, an order dimension and a commodity category dimension according to the currently monitored order data;

[0161] The processing module 404 is configured to perform at least one of the following operations according to the use condition of the discount fee in a statistical period:

[0162] automatically processing the discount fee in the statistical period by connecting with a financial marketing fee system;

[0163] generating a recommended transaction unit price of a product related to the order data.

[0164] The business type includes at least one of a direct supply type, a direct supply and delivery type, a consignment type, a direct operation type and a direct operation and warehousing type.

[0165] When the business type is the direct operation type, the direct operation and warehousing type, the consignment type or the direct supply and delivery type, the type of the order data includes a sales order and / or an after-sales order.

[0166] When the business type is the direct supply type, the type of the order data includes a purchase sales order and / or an after-sales order.

[0167] The statistical module 403 includes:

[0168] The first acquisition sub-module is configured to acquire a standard unit price corresponding to the order data according to a commodity code field in the currently monitored order data.

[0169] The first determination sub-module is configured to determine a use amount of the discount fee corresponding to the order data according to the standard unit price, a product quantity field and an actual payment price field in the order data when the type of the currently monitored order data is a sales order.

[0170] The second determination sub-module is configured to determine a use amount of the discount fee corresponding to the order data according to the standard unit price, a product quantity field and a real payment amount field in the order data when the type of the currently monitored order data is a purchase sales order.

[0171] The third determining sub-module is configured to, in a case where the type of the current monitored order data is an after-sale order, determine a use amount of the markdown fee corresponding to the order data according to a product quantity field in the after-sale order and an actual payment unit price corresponding to a sales order or a purchase sales order associated with the after-sale order.

[0172] The statistical sub-module is configured to, according to the use amount of the markdown fee corresponding to the order data, statistically determine a use situation of the markdown fee from at least one of the sales subject dimension, the business type dimension, the order dimension and the commodity category dimension.

[0173] The first obtaining sub-module is specifically configured to: in a case where the product corresponding to the commodity code field is a product other than a target product, obtain the standard unit price.

[0174] The device further comprises:

[0175] The first obtaining module is configured to obtain commission information input by a first user; the first user is a user corresponding to a brand merchant.

[0176] The generating module is configured to generate a difference adjustment order according to the commission information; the difference adjustment order comprises a difference adjustment sales order and a difference adjustment after-sale order.

[0177] The adjusting module is configured to adjust a use situation of the markdown fee currently statistically determined according to an amount field in the difference adjustment sales order and an amount field in the difference adjustment after-sale order.

[0178] The device further comprises:

[0179] The second obtaining module is configured to obtain an amount of markdown fee already used by the sales subject according to the use situation of the markdown fee statistically determined from the sales subject dimension.

[0180] The first sending module is configured to, if a ratio of the amount of markdown fee already used by the sales subject to a markdown fee quota applied for by the sales subject is greater than a first threshold value, send early warning information to a user corresponding to the sales subject.

[0181] The processing module is specifically configured to, when used for automatically handling markdown fees in the statistical period by interfacing with a financial marketing fee system:

[0182] In a case where the sales subject does not apply for a markdown fee quota, any one of the following operations is performed:

[0183] in a case where the used discount cost amount of the sales subject is greater than zero, sending a first request to the financial marketing cost system, the first request being used for requesting to apply for a discount cost quota;

[0184] in a case where the used discount cost amount of the sales subject is less than zero, pushing the used discount cost amount of the sales subject to a target sales subject;

[0185] in a case where the sales subject has applied for a discount cost quota, performing any one of the following operations:

[0186] in a case where the used discount cost amount of the sales subject is greater than zero, sending a second request to the financial marketing cost system, the second request being used for requesting to close the application line of the discount cost quota and for requesting to apply for a discount cost quota according to the used discount cost amount of the sales subject;

[0187] in a case where the used discount cost amount of the sales subject is zero, sending a third request to the financial marketing cost system, the third request being used for requesting to close the application line of the discount cost quota;

[0188] in a case where the used discount cost amount of the sales subject is less than zero, sending the third request to the financial marketing cost system and pushing the used discount cost amount of the sales subject to the target sales subject.

[0189] The apparatus further comprises:

[0190] a second acquisition module, configured to acquire a currently used discount cost amount of the sales subject at a preset time of one statistical period;

[0191] a prediction module, configured to predict a discount cost quota of a next statistical period adjacent to the current statistical period according to the currently used discount cost amount, a discount cost amount used in a last statistical period adjacent to the current statistical period, and a discount cost amount used in an Nth statistical period in a last year adjacent to the current year, the current statistical period being an Nth statistical period in the current year, and N being an integer;

[0192] a second sending module, configured to send a fourth request to the financial marketing cost system, the fourth request being used for applying for a discount cost quota of the next statistical period adjacent to the current statistical period.

[0193] The processing module 404 is specifically configured to:

[0194] According to the use of the markdown cost counted from the commodity category dimension, an actual transaction unit price corresponding to the same commodity category is obtained;

[0195] According to the actual transaction unit price, the recommended transaction unit price is generated, which is used to guide the business personnel to set the actual transaction unit price of the sales subject.

[0196] It should be noted that the above e-commerce cost management device provided by the embodiments of the present application can realize all the method steps realized by the above e-commerce cost management method embodiments, and can achieve the same technical effects. Therefore, the same parts and beneficial effects of the method embodiments in this embodiment will not be described in detail.

[0197] The e-commerce cost management device of another embodiment of the present application, as shown in Figure 5 The e-commerce cost management device of another embodiment of the present application, as shown in

[0198] The transceiver 510 is used to receive and send data under the control of the processor 500.

[0199] Among them, Figure 5 The bus architecture can include any number of interconnected buses and bridges, which are variously linked by the processor 500 representing one or more processors and the memory 520 representing the memory of various circuits. The bus architecture can also link various other circuits such as peripheral devices, voltage regulators and power management circuits, which are well known in the art, and therefore, will not be further described herein. The bus interface provides an interface. The transceiver 510 can be a plurality of elements, i.e. including a transmitter and a receiver, providing a unit for communicating with various other devices on a transmission medium. The processor 500 is responsible for managing the bus architecture and general processing, and the memory 520 can store the data used by the processor 500 in performing operations.

[0200] A readable storage medium of an embodiment of the present application, which stores a program or instruction, the program or instruction is executed by a processor to realize the steps of the e-commerce cost management method as described above, and can achieve the same technical effects. To avoid repetition, it will not be described here.

[0201] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0202] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment method can be realized by means of software and the necessary general hardware platform, of course, it can also be realized by hardware, but in many cases, the former is a better embodiment. According to such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as a ROM / RAM, a magnetic disk, an optical disk), and includes a plurality of instructions for executing the method described in each embodiment of the present application.

[0203] Therefore, the embodiment of the present application also provides a computer program product, which includes computer instructions, and the computer instructions are executed by a processor to realize the e-commerce expense management method as described above, and can achieve the same technical effects. To avoid repetition, it will not be repeated here.

[0204] In the embodiments of the present application, the modules can be implemented by software, so as to be executed by various types of processors. For example, an identified executable code module can include one or more physical or logical blocks of computer instructions. For example, it can be constructed as an object, a procedure or a function. However, the executable code of the identified module does not need to be physically located together, but can include different instructions stored in different bits, which logically combine together to form a module and achieve the specified purpose of the module.

[0205] In fact, the executable code module can be a single instruction or a plurality of instructions, and can even be distributed on a plurality of different code segments, in different programs, and across a plurality of memory devices. Similarly, the operation data can be identified within the module, and can be implemented in any appropriate form and organized in any appropriate type of data structure. The operation data can be collected as a single data set, or can be distributed in different locations (including different storage devices), and can exist at least partially as an electronic signal on a system or network.

[0206] When the modules can be implemented in software, hardware, or a combination of software and / or hardware, the modules can be stored in any type of computer-readable medium or memory, for example, in a RAM, ROM, EEPROM, CD-ROM, or hard disk, etc. The computer-readable medium or memory can be a computer program product that comprises a computer program that can be executed by one or more processors to implement the techniques. The computer-readable medium or memory can also include a computer program product that has a plurality of program elements that can be used in carrying out the techniques. The computer-readable medium or memory can also include a plurality of program elements that are downloaded from a website, such as a manufacturer's website.

[0207] The foregoing exemplary embodiments are described with reference made to the drawings which are provided for the purpose of explanation and illustration and are not intended to limit the scope of the application. The exemplary embodiments are described in detail so that those skilled in the art can easily carry out the exemplary embodiments. The exemplary embodiments are provided so that the application will be thorough, complete and fully convey the scope of the application to those skilled in the art. In the drawings, the size and relative sizes of components can be exaggerated for clarity. The terms used herein are merely used to describe particular embodiments and are not intended to limit the application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and / or "comprising", when used in this specification, specify the presence of stated features, integers, steps, operations, components, and / or groups, but do not preclude the presence or addition of one or more other features, integers, steps, operations, components, and / or groups thereof. Unless otherwise indicated, a range of values includes the beginning and end points of the range and any sub-ranges therebetween.

[0208] The above description is the preferred embodiment of the present application. It is obvious that for those skilled in the art, without departing from the principles of the present application, can make some improvements and refinements, which should be considered as the protection scope of the present application.

Claims

1. An e-commerce expense management method, characterized by, The method comprises the following steps: determining the business type of the sales subject; monitoring the order data of the sales subject in real time according to the business type, wherein the type of the order data corresponds to the business type; According to the order data currently monitored, the use of the markdown fee is counted from at least one of the dimensions of the sales subject, the business type, the order and the commodity category; obtaining the commission information input by the first user; wherein the first user is a user corresponding to a brand; According to the commission information, generate a difference order; wherein the difference order includes a difference sales order and a difference after-sales order; According to the amount field in the difference sales order and the amount field in the difference after-sales order, adjust the currently counted use of the markdown fee; According to the use of the markdown fee counted in a statistical period, at least one of the following operations is performed: By connecting with the financial marketing fee system, the markdown fee in the statistical period is automatically handled; including: in the case that the sales subject does not apply for markdown fee quota, the following operations are performed: in the case that the sales subject has used markdown fee amount greater than zero, a first request is sent to the financial marketing fee system, the first request is used to request to apply for additional markdown fee quota; in the case that the sales subject has used markdown fee amount less than zero, the sales subject has used markdown fee amount is reversed to the target sales subject; in the case that the sales subject has applied for markdown fee quota, the following operations are performed: in the case that the sales subject has used markdown fee amount greater than zero, a second request is sent to the financial marketing fee system, wherein the second request is used to request to close the application single line of the markdown fee quota, and the second request is also used to request to add markdown fee quota according to the sales subject has used markdown fee quota; in the case that the sales subject has used markdown fee amount is zero, a third request is sent to the financial marketing fee system, wherein the third request is used to request to close the application single line of the markdown fee quota; in the case that the sales subject has used markdown fee amount is less than zero, the third request is sent to the financial marketing fee system, and the sales subject has used markdown fee amount is reversed to the target sales subject; generate a suggested transaction unit price of the product related to the order data.

2. The method of claim 1, wherein, The business type includes at least one of the following: direct supply type, direct supply type, consignment type, direct operation type and direct operation type; When the business type is the direct operation type, the direct operation type, the consignment type or the direct supply type, the type of the order data includes sales order and / or after-sales order; When the business type is direct supply type, the type of the order data includes purchase sales order and / or after-sales order.

3. The method according to claim 1 or 2, characterized in that, According to the order data currently monitored, the use of the markdown fee is counted from at least one of the dimensions of the sales subject, the business type, the order and the commodity category, including: According to the current monitoring of the order data in the product code field, the standard unit price corresponding to the order data is obtained; In the case where the type of the current monitoring of the order data is a sales order, the use amount of the discount fee corresponding to the order data is determined according to the standard unit price, the product quantity field and the actual payment price field in the order data; In the case where the type of the current monitoring of the order data is a purchase sales order, the use amount of the discount fee corresponding to the order data is determined according to the standard unit price, the product quantity field and the actual payment amount field in the order data; In the case where the type of the current monitoring of the order data is an after-sales order, the use amount of the discount fee corresponding to the order data is determined according to the product quantity field in the after-sales order and the actual payment unit price corresponding to the sales order or the purchase sales order associated with the after-sales order; According to the use amount of the discount fee corresponding to the order data, the use of the discount fee is counted from at least one of the sales subject dimension, the business type dimension, the order dimension and the product category dimension.

4. The method of claim 3, wherein, According to the current monitoring of the order data in the product code field, the standard unit price corresponding to the order data is obtained, comprising: In the case where the product corresponding to the product code field is a product other than the pre-set target product, the standard unit price is obtained.

5. The method of claim 1, wherein, After the use of the discount fee is counted from at least one of the sales subject dimension, the business type dimension, the order dimension and the product category dimension according to the current monitoring of the order data, the method further comprises: According to the use of the discount fee counted from the sales subject dimension, the amount of discount fee used by the sales subject is obtained; If the ratio of the amount of discount fee used by the sales subject to the discount fee quota applied by the sales subject is greater than a first threshold value, an early warning information is sent to the user corresponding to the sales subject.

6. The method of claim 1, wherein, After the use of the discount fee is counted from at least one of the sales subject dimension, the business type dimension, the order dimension and the product category dimension according to the current monitoring of the order data, the method further comprises: At a preset time in a statistical period, the current amount of discount fee used by the sales subject is obtained; According to the current amount of discount fee used, the amount of discount fee used in the statistical period adjacent to the current statistical period, and the amount of discount fee used in the Nth statistical period in the previous year adjacent to the current year, the discount fee quota of the next statistical period adjacent to the current statistical period is predicted; wherein the current statistical period is the Nth statistical period of the current year, and N is an integer; A fourth request is sent to the financial marketing fee system, and the fourth request is used to apply for the discount fee quota of the next statistical period adjacent to the current statistical period.

7. The method of claim 1, wherein, According to the use of the discount fee counted in a statistical period, a recommended transaction unit price of the product related to the order data is generated, comprising: According to the use of the price reduction cost counted from the commodity category dimension, an actual transaction unit price corresponding to the same commodity category is obtained; According to the actual transaction unit price, the recommended transaction unit price is generated, which is used to guide the business personnel to set the actual transaction unit price of the sales subject.

8. An e-commerce expense management apparatus, characterized by, It comprises: A determination module is configured to determine the business type of the sales subject; A monitoring module is configured to monitor the order data of the sales subject in real time according to the business type, wherein the type of the order data corresponds to the business type; A statistical module is configured to count the use of the price reduction cost from at least one of the sales subject dimension, the business type dimension, the order dimension and the commodity category dimension according to the currently monitored order data; A first acquisition module is configured to acquire the commission information input by a first user; wherein the first user is a user corresponding to a brand merchant; A generation module is configured to generate a difference adjustment order according to the commission information; wherein the difference adjustment order comprises a difference adjustment sales order and a difference adjustment after-sales order; An adjustment module is configured to adjust the currently counted use of the price reduction cost according to the amount field in the difference adjustment sales order and the amount field in the difference adjustment after-sales order; A processing module is configured to perform at least one of the following operations according to the use of the price reduction cost counted within a statistical period: Through the interface with the financial marketing cost system, the price reduction cost within the statistical period is automatically handled; including: in the case that the amount of the price reduction cost used by the sales subject is greater than zero, a first request is sent to the financial marketing cost system, the first request is used to request to apply for additional price reduction cost quota; in the case that the amount of the price reduction cost used by the sales subject is less than zero, the amount of the price reduction cost used by the sales subject is transferred to a target sales subject; in the case that the sales subject has applied for the price reduction cost quota, any of the following operations is performed: in the case that the amount of the price reduction cost used by the sales subject is greater than zero, a second request is sent to the financial marketing cost system, wherein the second request is used to request to close the application line of the price reduction cost quota, and the second request is also used to request to apply for additional price reduction cost quota according to the amount of the price reduction cost used by the sales subject; in the case that the amount of the price reduction cost used by the sales subject is zero, a third request is sent to the financial marketing cost system, wherein the third request is used to request to close the application line of the price reduction cost quota; in the case that the amount of the price reduction cost used by the sales subject is less than zero, the third request is sent to the financial marketing cost system, and the amount of the price reduction cost used by the sales subject is transferred to the target sales subject; The recommended transaction unit price of the product related to the order data is generated.

9. An e-commerce expense management device, characterized by, It comprises a transceiver, a processor, a memory and a program stored on the memory and executable on the processor; characterized in that the transceiver transceives data under the control of the processor, and the processor implements the e-commerce cost management method according to any one of claims 1 to 7 when executing the program.

10. A readable storage medium, on which a program or instructions are stored, characterized in that, The program or the instruction is executed by the processor to realize the e-commerce cost management method in any one of claims 1 to 7.

11. A computer program product, characterised in that, The computer program product comprises computer instructions, and the computer instructions are executed by the processor to realize the e-commerce cost management method in any one of claims 1 to 7.

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