All-channel single commodity analysis method and system

Abstract

The invention provides an omni-channel single commodity analysis method, which comprises the following steps that: a brand party orders a customer management system of an e-commerce ISV, and authorizes the e-commerce ISV to obtain sales order data of the brand party on each e-commerce platform and query assembly information interface data of the brand party on an e-commerce ERP (Enterprise Resource Planning); analyzing the sales order data on each e-commerce platform acquired by the e-commerce ISV; the e-commerce ISV obtains the assembly information for analysis through a query assembly information interface on the ERP of the e-commerce; integrating the sales order data and the assembly data; the method comprises the following steps of: splitting orders of which sold commodities are combined in a physical single item dimension to obtain merchant codes, selling quantities and selling amounts of physical single items; in the physical single item dimension, the sales data are analyzed; and the sales data analysis result is displayed on an e-commerce isv customer relationship management system. The invention also provides an omni-channel single commodity analysis system.

Description

Technical Field

[0001] The present invention relates to the field of computer data technology, and in particular to an omni-channel commodity single product analysis method and system. Background Art

[0002] Diversification of shopping channels: Consumers are no longer limited to shopping in traditional physical stores, but are increasingly shopping through multiple channels such as e-commerce platforms, social media, and mobile applications.

[0003] Personalized shopping experience: Consumers pay more attention to the personalization and convenience of the shopping experience, and hope that companies can provide products and services that better meet their needs and preferences.

[0004] Intensified brand competition: With the continuous opening of the market and the intensification of competition, companies need to expand their market share and enhance brand awareness and reputation through omni-channel marketing.

[0005] Channel resource integration: Enterprises need to integrate various channel resources to achieve online and offline integration and improve overall operational efficiency and service levels.

[0006] Combination empowerment of product types: Merchants with multiple product types will launch combination products. These products usually sell multiple related or complementary products together to meet the specific needs of consumers or provide a more convenient shopping experience.

[0007] In the e-commerce ISV field, in the orders provided by various e-commerce platforms, for the goods sold, if they are combination packs, only the combination pack ID can be provided. Therefore, data analysis of related goods can only be performed on the combination pack dimension. Summary of the invention

[0008] In view of the above technical problems and in order to overcome the deficiencies of the above-mentioned prior art, the present invention proposes an omni-channel commodity single product analysis method and system, which connects private domain attributes and public domain attributes to enrich user portraits; enriches the e-commerce attributes of private domains, and can intuitively statistically analyze the transaction conversion of private domain customers.

[0009] The present invention provides an omni-channel commodity single product analysis method, comprising:

[0010] S1. The brand party orders the customer management system of the e-commerce ISV and authorizes the e-commerce ISV to obtain the brand party's sales order data on various e-commerce platforms and the query combination information interface data on the e-commerce ERP;

[0011] S2. Analyze the sales order data on various e-commerce platforms obtained by the e-commerce ISV;

[0012] S3. The e-commerce ISV obtains the combined package information by calling the combined package information query interface on the e-commerce ERP for analysis;

[0013] S4. Integrate sales order data and assembly data;

[0014] S5. For orders where the goods sold are combined packages, the orders are split based on the physical items to obtain the merchant code, sales quantity, and sales amount of the physical items;

[0015] S6. Analyze sales data from the perspective of physical items;

[0016] S7. The sales data analysis results are displayed on the customer relationship management system of the e-commerce ISV.

[0017] Furthermore, S2 analyzes the sales order data on each e-commerce platform:

[0018] If the buyer purchases a combination package, the combination package ID is obtained through analysis; if the buyer purchases a physical single item, the merchant code of the physical single item is obtained through analysis.

[0019] Furthermore, the combined packaging information data retrieved from the e-commerce ERP is analyzed as described in S3:

[0020] It includes the combination package ID, the merchant code of the physical items contained in the combination package ID, and the amount and quantity allocation ratio of each physical item.

[0021] Furthermore, the sales order data and the combined packaging data are integrated as described in S4:

[0022] If the ordered product is a combination pack, match the physical items contained in the combination pack.

[0023] Furthermore, as described in S5, for orders of combination packages of goods for sale, the orders are split based on the physical item dimension, that is, the merchant code, sales quantity, and sales amount of the physical items are split out.

[0024] Furthermore, the sales data analysis results are displayed on the customer relationship management system of the e-commerce ISV, which displays the sales data in the dimension of physical items.

[0025] The present invention also provides an omni-channel commodity single product analysis system, comprising:

[0026] The data acquisition module is used for the customer management system of the brand to order e-commerce ISVs, authorizing the e-commerce ISVs to obtain the brand's sales order data on various e-commerce platforms and the query combination information interface data on the e-commerce ERP;

[0027] The sales order data analysis module on the e-commerce platform is used to analyze the sales order data on various e-commerce platforms obtained by the e-commerce ISV;

[0028] The combined package information data analysis module on the e-commerce ERP is used by the e-commerce ISV to obtain the combined package information for analysis by calling the combined package information query interface on the e-commerce ERP;

[0029] Data integration module, used to integrate sales order data and assembly data;

[0030] The physical item dimension splitting module is used to split the orders of combined products based on the physical item dimension, and split the merchant code, sales quantity, and sales amount of the physical items;

[0031] The sales data analysis module is used to analyze sales data in the dimension of physical items;

[0032] The data display module is used to display the sales data analysis results on the customer relationship management system of the e-commerce ISV.

[0033] The present invention also provides a computer-readable storage medium, which stores computer program instructions. When the computer program instructions are executed by a computer, the computer executes the steps of the analysis method described above.

[0034] The beneficial effects of the embodiments of the present invention are as follows:

[0035] The data of the e-commerce platform and e-commerce ERP were used to correlate the characteristics of the data of the two platforms. New data sets were obtained, which enriched the dimensions of commodity analysis, made commodity sales analysis more refined, and enabled a more intuitive and comprehensive view of commodity sales trends. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A schematic diagram of a flow chart of a method for analyzing single products of an omni-channel product provided by an embodiment of the present invention;

[0037] Figure 2 The present invention provides an omni-channel commodity single product analysis system. DETAILED DESCRIPTION

[0038] Certain embodiments of the present invention will be described more fully hereinafter with reference to the accompanying drawings, in which some, but not all, embodiments are shown. Indeed, various embodiments of the present invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure may satisfy applicable legal requirements.

[0039] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0040] Definitions of terms used in this invention

[0041] Brand owner: A brand owner refers to the entity that owns and operates a brand.

[0042] E-commerce ISV: E-commerce ISV refers to an Electronic Commerce Independent Software Vendor. As an independent software vendor specializing in the e-commerce field, E-commerce ISV provides enterprises with a full range of e-commerce solutions, including but not limited to e-commerce system development, operation support, customer service, etc.

[0043] E-commerce ERP: Provide e-commerce customers with integrated management services including order delivery, warehousing, after-sales and finance.

[0044] Merchant code: the unique code of sku in e-commerce ERP.

[0045] SKU = stock keeping unit. SKU is the unit for measuring inventory in and out. It can be in units of pieces, boxes, pallets, etc. SKU is the smallest physically indivisible inventory unit.

[0046] Physical item: a single commodity, that is, one physical item corresponds to one merchant code.

[0047] Multipack: Combining multiple physical items together and selling them as a new product.

[0048] An embodiment of the present invention provides an omni-channel commodity single product analysis method, such as Figure 1 As shown, the steps include:

[0049] S1. The brand party orders the customer management system of the e-commerce ISV and authorizes the e-commerce ISV to obtain the brand party's sales order data on various e-commerce platforms and the query combination information interface data on the e-commerce ERP;

[0050] S2. Analyze the sales order data on various e-commerce platforms obtained by the e-commerce ISV;

[0051] S3. The e-commerce ISV obtains the combined package information by calling the combined package information query interface on the e-commerce ERP for analysis;

[0052] S4. Integrate sales order data and assembly data;

[0053] S5. For orders where the goods sold are combined packages, the orders are split based on the physical items to obtain the merchant code, sales quantity, and sales amount of the physical items;

[0054] S6. Analyze sales data from the perspective of physical items;

[0055] S7. The sales data analysis results are displayed on the customer relationship management system of the e-commerce ISV.

[0056] Specifically, S2 analyzes the sales order data on each e-commerce platform:

[0057] If the buyer purchases a combination package, the combination package ID is obtained through analysis; if the buyer purchases a physical single item, the merchant code of the physical single item is obtained through analysis.

[0058] Specifically, S3 analyzes the combined packaging information data retrieved from the e-commerce ERP:

[0059] It includes the combination package ID, the merchant code of the physical items contained in the combination package ID, and the amount and quantity allocation ratio of each physical item.

[0060] Specifically, the sales order data and the combined packaging data are integrated as described in S4:

[0061] If the ordered product is a combination pack, match the physical items contained in the combination pack.

[0062] Specifically, S5 describes that for orders of combination packages of goods for sale, the orders are split based on the physical item dimension, that is, the merchant code, sales quantity, and sales amount of the physical items are split out.

[0063] Specifically, the sales data analysis results are displayed on the customer relationship management system of the e-commerce ISV, which displays the sales data in the dimension of physical items.

[0064] Let me explain with an example:

[0065] S2. E-commerce ISV obtains sales order data on various e-commerce platforms and obtains combined packaging data. The main information is as follows

[0066] Order Number User ID Transaction amount Product ID Number of items sold T0000001 AA0000001 100 S00001 2 T0000002 AA0000002 200 S00002 2 T0000003 AA0000003 280 C00001 1

[0067] The e-commerce ISV obtains the combined package information by calling the combined package information query interface on the e-commerce ERP for analysis. The main information of the obtained combined package data is as follows: The main information of the obtained sales order data is as follows

[0068] Combination Pack ID The merchant code of the physical item Sales quantity Sales amount C00001 S00001 2 95 C00001 S00002 2 185

[0069] S4. Integrate sales order data and assembly data;

[0070] Integrate into the following data structure

[0071]

[0072] S5. For orders where the goods sold are combined packages, the orders are split based on the physical items to obtain the merchant code, sales quantity, and sales amount of the physical items;

[0073] First, split the orders for combination products

[0074]

[0075] After the order of combined products is split, all order information is organized into the following data structure

[0076]

[0077] S6. Analyze sales data from the perspective of physical items;

[0078]

[0079] The present invention also provides an omni-channel commodity single product analysis system, such as Figure 2 As shown, including:

[0080] The data acquisition module is used for the customer management system of the brand to order e-commerce ISVs, authorizing the e-commerce ISVs to obtain the brand's sales order data on various e-commerce platforms and the query combination information interface data on the e-commerce ERP;

[0081] The sales order data analysis module on the e-commerce platform is used to analyze the sales order data on various e-commerce platforms obtained by the e-commerce ISV;

[0082] The combined package information data analysis module on the e-commerce ERP is used by the e-commerce ISV to obtain the combined package information for analysis by calling the combined package information query interface on the e-commerce ERP;

[0083] Data integration module, used to integrate sales order data and assembly data;

[0084] The physical item dimension splitting module is used to split the orders of combined products based on the physical item dimension, and split the merchant code, sales quantity, and sales amount of the physical items;

[0085] The sales data analysis module is used to analyze sales data in the dimension of physical items;

[0086] The data display module is used to display the sales data analysis results on the customer relationship management system of the e-commerce ISV.

[0087] The present invention also provides a computer-readable storage medium, which stores computer program instructions. When the computer program instructions are executed by a computer, the computer executes the steps of the analysis method described above.

[0088] In addition, the above-mentioned figures are only schematic illustrations of the processing included in the method according to the embodiment of the present invention, and are not intended to limit the purpose. The order in the figures does not limit the time sequence of these operations, and these operations can be performed simultaneously or independently in multiple modules. Moreover, multiple steps can be combined into one step for execution, or one step can be disassembled into multiple steps for execution.

[0089] The above description is only a specific implementation mode of the present invention and is not intended to limit the protection scope of the present invention. For those skilled in the art, the above embodiments can be changed or modified within the scope of the present invention, and these changes and modifications also fall within the protection scope of the claims of the present invention.

Claims

1. A method for analyzing single products of omni-channel commodities, characterized in that: include: S1. The brand party orders the customer management system of the e-commerce ISV and authorizes the e-commerce ISV to obtain the brand party's sales order data on various e-commerce platforms and the query combination information interface data on the e-commerce ERP; S2. Analyze the sales order data on various e-commerce platforms obtained by the e-commerce ISV; S3. The e-commerce ISV obtains the combined package information by calling the combined package information query interface on the e-commerce ERP for analysis; S4. Integrate sales order data and assembly data; S5. For orders where the goods sold are combined packages, the orders are split based on the physical items to obtain the merchant code, sales quantity, and sales amount of the physical items; S6. Analyze sales data from the perspective of physical items; S7. The sales data analysis results are displayed on the customer relationship management system of the e-commerce ISV.

2. The analysis method according to claim 1, characterized in that In S2, the sales order data on each e-commerce platform is analyzed: If the buyer purchases a combination package, the combination package ID is obtained through analysis; if the buyer purchases a physical single item, the merchant code of the physical single item is obtained through analysis.

3. The analysis method according to claim 1, characterized in that S3 analyzes the combined packaging information data retrieved from the e-commerce ERP: It includes the combination package ID, the merchant code of the physical items contained in the combination package ID, and the amount and quantity allocation ratio of each physical item.

4. The analysis method according to claim 1, characterized in that Integrate the sales order data and assembly data as described in S4: If the ordered product is a combination pack, match the physical items contained in the combination pack.

5. The analysis method according to claim 1, characterized in that As described in S5, for orders of combination packages of goods for sale, the orders are split based on the physical item dimension, that is, the merchant code, sales quantity, and sales amount of the physical items are split out.

6. The analysis method according to claim 1, characterized in that The sales data analysis results are displayed on the customer relationship management system of the e-commerce ISV, which displays the sales data in the dimension of physical items.

7. An omni-channel commodity single product analysis system, characterized in that: include: The data acquisition module is used for the customer management system of the brand to order e-commerce ISVs, authorizing the e-commerce ISVs to obtain the brand's sales order data on various e-commerce platforms and the query combination information interface data on the e-commerce ERP; The sales order data analysis module on the e-commerce platform is used to analyze the sales order data on various e-commerce platforms obtained by the e-commerce ISV; The combined package information data analysis module on the e-commerce ERP is used by the e-commerce ISV to obtain the combined package information for analysis by calling the combined package information query interface on the e-commerce ERP; Data integration module, used to integrate sales order data and assembly data; The physical item dimension splitting module is used to split the orders of combined products based on the physical item dimension, and split the merchant code, sales quantity, and sales amount of the physical items; The sales data analysis module is used to analyze sales data in the dimension of physical items; The data display module is used to display the sales data analysis results on the customer relationship management system of the e-commerce ISV.

8. A computer-readable storage medium storing computer program instructions, wherein when the computer program instructions are executed by a computer, the computer executes the steps of the analysis method according to any one of claims 1 to 6.

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