Stitch Fix uses expert-in-the-loop generative AI for ad headlines and product descriptions
Writing ad headlines and product descriptions at scale was time-consuming, costly, and produced inconsistent quality; Stitch Fix had hundreds of thousands of styles requiring descriptions that copywriters alone could not handle.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Map outfit to style space
Outfit images and style keywords are mapped to the latent style space to find the style keywords closest to the outfit.
Tools used
GPT-3
Outcome
The expert-in-the-loop approach is now used for all Facebook and Instagram ad headlines, with copywriters reporting significant time and effort savings, and a blind evaluation showing algo-generated product descriptions achieved higher quality scores than human-written ones.
What failed first
Using few-shot learning alone for product descriptions produced generic, limited quality output that was insufficient for Stitch Fix's scale and brand standards.