J.Crew Launches AI Style Advisor With Anthropic Models

Nov 11, 2026
J.Crew has launched Style Advisor, an AI shopping tool that recommends outfits using the retailer's styling data and Anthropic models.

J.Crew launches Style Advisor, an AI shopping tool built with models from Anthropic, according to Fortune. The tool uses data from thousands of outfit combinations from J.Crew photo shoots, along with the retailer's styling principles and guidance on pairing clothes and accessories.

Customers can describe an occasion, location and preferred level of formality. Style Advisor then asks follow up questions and recommends complete outfits rather than individual products.

The tool is available on J.Crew's desktop website, with a mobile app version planned later. J.Crew also plans to use customers' purchase histories for more personalized recommendations in the future.

The tool uses several Claude models: Fable 5.1 handles the more complex styling judgments, while Sonnet 5.5 and Haiku 4.5 keep the back-and-forth with shoppers fast. J.Crew's team used Opus 5.5 to build the working prototype, and a back-end layer lets the retailer monitor model costs.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief or Retail & Ecommerce AI Weekly.

Also, consider following us on social media:

AI Brief AI Brief (X)
Free newsletter

Retail & Ecommerce AI Weekly

The weekly on AI in retail and ecommerce: shopping agents, online stores and marketplaces, checkout, and AI inside physical stores.

Guide
Contract Lifecycle Management with AI

Contract Lifecycle Management with AI

Platforms where the assistant comes attached to the repository, the workflow and the approvals

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.