AI Product Selection Reports for Cross-Platform Sourcing
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Solution Overview
Problem
Class B buyers in cross-border e-commerce face inefficiencies in finding suitable product sources due to the lack of integrated data and tools, requiring them to switch between multiple platforms for product selection and procurement, which is time-consuming and difficult.
Innovation Solution
A method utilizing an AI large model to generate product selection reports based on cross-border product information and C-end sales data, providing pre-defined product selection solutions and detailed reports with statistical data and recommended products, enabling Class B buyers to make informed decisions efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If Class B buyers check multiple platforms (C-end e-commerce platform, short video platform, cross-border e-commerce platform) to find popular products and suitable sources, then they can gather comprehensive product information, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent merges data from multiple platforms (C-end e-commerce platform, short video platform, cross-border e-commerce platform) into a unified product selection report. The system integrates popular product data, host promotion data, and cross-border supply data into a single comprehensive report, eliminating the need for buyers to manually check multiple platforms while maintaining information completeness.
Solution Approach 2:
The system pre-processes and organizes product data from various platforms before the buyer needs it. By pre-generating product selection reports with integrated information from multiple sources, the system eliminates the time-consuming manual research process while ensuring comprehensive product information is available when needed.
2Adaptability or versatility
If Class B buyers manually search and inquire about products across different platforms, then they can find suitable product sources, but the process lacks efficiency and requires switching between multiple platforms
Solution Approach 1:
The system incorporates feedback mechanisms by analyzing host promotion data and consumer interaction data to identify trending products. This feedback loop enables the system to continuously update product selection reports with the most relevant and popular products, improving matching accuracy while maintaining high procurement efficiency through automated recommendations.
Solution Approach 2:
The system provides self-service product selection capabilities by automatically generating comprehensive product selection reports that include popular products, host recommendations, and supply information. Buyers can directly access curated product lists without manual searching or platform switching, significantly improving productivity while maintaining adaptability to their procurement needs.
3Loss of information
If the system integrates data from multiple platforms (first product information service system and second product information service system), then comprehensive product selection information can be provided, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary AI large model that acts as a mediator between the first product information service system (cross-border platform) and the second product information service system (C-end platform). This intermediary processes and integrates data from both systems, transforming complex multi-source data into structured product selection reports, thereby maintaining data completeness while managing system complexity through centralized intelligent processing.
4Ease of operation
If pre-defined product selection solution options are provided for bulk procurement and customized goods, then user experience is improved, but the system requires more structured data organization
Solution Approach 1:
The system performs preliminary organization of product data according to pre-defined solution categories (bulk procurement, customized goods, etc.) before users need them. By pre-structuring data into meaningful categories and preparing targeted product lists in advance, the system provides easy-to-use selection options without requiring complex real-time data organization, thereby improving ease of operation while managing data complexity through advance preparation.
Data Source
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AI summary
Disclosed in the embodiments of the present application are a method for providing product selection reference information and an electronic device. The method comprises: receiving, in a first product information service system, a product selection request initiated by a first user regarding his/her procurement requirements; providing an operation option for inputting a targeted product selection category/industry, and providing a plurality of product selection solution options for the first user to select therefrom, wherein the plurality of product selection solution options are a plurality of pieces of product selection idea information predefined for selection needs related to bulk procurement or customized goods in the targeted product selection category/industry; and providing, according to the inputted targeted product selection category/industry and a selected target product selection solution, a product selection report, wherein the product selection report is generated by an artificial intelligence AI large model based on product supply data in the first product information service system and data generated by at least one second product information service system interacting with individual consumers during a sales process. The embodiments of the present application may enable users to find satisfactory sources of goods and make decisions more easily and quickly.