Tapestry
Internal knowledge search
Procedures were buried in silos. Now, a GenAI bot answers staff questions instantly, sparing experts from repetitive requests.
- ~300 employees using AI knowledge system
- Knowledge system deployed in 4 months
Store visits yielded scattered anecdotes. Now, AI aggregates frontline voices, turning 30,000 insights into inventory strategy.
A global luxury fashion house managing iconic brands like Coach and Kate Spade, with over 18,000 employees including thousands of frontline retail associates.
Frontline staff held critical insights on customer preferences, but corporate teams relied on sporadic store visits that yielded only anecdotal...
“A lot of our core data systems run on AWS. AWS had the services available that were suited to our needs; the synergy already existed, and the foundation was already in place. Whenever we have used AWS for new projects, they have always been successful.”
Global house of luxury brands including Coach, Kate Spade, and Stuart Weitzman.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Procedures were buried in silos. Now, a GenAI bot answers staff questions instantly, sparing experts from repetitive requests.
Old models couldn't measure traits like "creativity." AI now scores millions of text segments to quantify complex brand perception.
Classifying 100 comments took an hour, forcing sampling. Llama 3.3 now sorts every review by issue type to prioritize fixes.
Seasonal surges overwhelmed 600 specialists. Now, AI agents autonomously resolve order tracking and FAQs using real-time data.
Manual teams couldn't support millions of shops. AI agents now resolve delivery issues, escalating complex cases to humans.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.