Digchic Product Radar: AI-Powered Product Matching Driving Global Creator Performance for SHEIN

The Challenge

SHEIN’s vast global creator network faced friction with manual product selection due to rapidly shifting trends, localised consumer preferences, and thousands of catalog SKUs, leading to missed sales opportunities and inconsistent performance.

The Strategy

Replace manual product sourcing with the "AI Product Radar," an AI-powered predictive recommendation engine that automates trend and audience-matching workflows.

Execution and Innovation

Developed a conversational AI engine combining creator audience analytics, localised market trends, conversion history, and real-time best-seller data to automatically deliver personalised product recommendations to creators.

Results

Reduced product selection time by over 80%, increased creator conversion rates by up to 3x, and raised the new customer acquisition rate from 11% to 18%.

Judges' Verdict

"Excellent use of AI to solve a very specific affiliate problem. They've embraced the possibilities of the new tech and decided to make something for it."