Industry background and pain points
In 2025, the e-commerce industry will enter a new stage of "precision operation+AI cost reduction", and e-commerce will face three major challenges
The traffic dividend is diminishing, user growth is slowing down, and conversion costs are rising
The outbreak of personalized demand makes traditional experiential decision-making models unsustainable
The upgrading of competition dimension and the platform's anti internal competition policy promote the industry to return to its commercial essence
Core functions
Trend Analysis Report
Real time capture of global fashion trends
Aggregate hot selling data from over 50 e-commerce platforms such as Taobao, Amazon, Temu/Shein, and AliExpress
Analyzing the fashion trends of millions of Instagram/TikTok influencers
AI generates quarterly category&color trend report
AI Selection Engine
Lock potential products in seconds from massive data
Map Search covers over 70 million product libraries
Support 「fabric/silhouette/style」 combination screening
Model for predicting the success rate of popular products
Design AI tools
FD+intelligent design tool reduces clothing and sample production costs by 95%
Inspiration into a Style
Virtual try on
Multi style fusion
Automatic generation of line drafts
The design cycle has been shortened from 2 weeks to 3 days
Customer Cases
A cutting-edge lingerie brand
Pain points：
The cost of promoting new products is high, and the matching degree of user needs is low
Plan：
AI product selection+personalized recommendation+AIGC content generation
Results：
New product launch cycle shortened by 40%, user retention rate increased by 15%
A certain cross-border e-commerce enterprise
Pain points：
Low operational efficiency across multiple platforms and difficulty in generating localized content
Plan：
Cross platform data center+AIGC+intelligent customer service
Results：
Content generation efficiency increased by 80%, and overseas market expansion speed accelerated by 30%
