AI Page Generation System for Automated Product Content
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing product page management systems require manual editing by multiple professionals (merchandisers, designers, photographers) for modifications and lack user-specific customization, leading to inefficiencies and reduced engagement with potential buyers.
Innovation Solution
A method that acquires and analyzes images to extract features, generates text and design based on these features, and customizes product pages using user and environmental information to create optimized, user-specific content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual editing by multiple professionals is used to create product pages, then the quality and professionalism of the pages is improved, but the complexity of the management process and time consumption increase significantly
Solution Approach 1:
The system enables automated generation of product pages by extracting information directly from product data and images. The AI model automatically creates layouts, selects images, generates descriptions, and assembles pages without requiring manual intervention from merchandisers, designers, or photographers, thus resolving the contradiction between maintaining high quality and reducing management complexity
Solution Approach 2:
The AI-based page generation system performs multiple functions that previously required different professionals: it handles image selection, text generation, layout design, and page assembly in a single automated process. This multi-functional approach maintains professional quality while eliminating the need for coordinated manual efforts from multiple specialists
2Manufacturing precision
If manual editing is used for page modifications, then the professionalism of the content is maintained, but the productivity and speed of updates decrease
Solution Approach 1:
The system automatically detects when product information changes and regenerates the product page by extracting updated data and re-assembling the page using the AI model. This self-service mechanism ensures professional quality content is maintained while enabling rapid updates without requiring manual re-editing by professionals
Solution Approach 2:
The system pre-processes product information and maintains a library of professionally generated content elements that can be quickly recombined and updated. When modifications are needed, the system leverages pre-prepared templates, image selections, and text generations to rapidly assemble updated pages while maintaining professional standards
3Ease of operation
If standardized product pages are displayed to all users, then the simplicity of the system is maintained, but the ability to engage users and understand user intentions is reduced
Solution Approach 1:
The system generates different versions of product pages tailored to specific user characteristics, contexts, and behaviors. Instead of using a single standardized page for all users, the AI model creates locally optimized content that adapts to individual user needs, preferences, and situational contexts while maintaining the overall simplicity of the page generation system
Solution Approach 2:
The product pages become dynamic and adaptable rather than static and standardized. The system continuously adjusts page content, layout, and presentation based on real-time user information, device characteristics, and contextual data, enabling the same system to serve diverse user needs while maintaining operational simplicity through automated adaptation
Data Source
AI summary
A method for displaying a page includes: acquiring a plurality of images; extracting features of the plurality of images; generating text based on the features of the plurality of images; and generating the page based on the features of the plurality of images, in which the page includes the plurality of images.