How Ralph Lauren uses AI: Ask Ralph and the conversational shopping assistant
Ralph Lauren launched Ask Ralph, a conversational styling assistant built on Microsoft Azure OpenAI, in its US app in September 2025. What it does, what has been disclosed and what remains open.
KEY TAKEAWAYS Summary by the editors
- Ralph Lauren launched Ask Ralph, an AI shopping and styling assistant built on Microsoft's Azure OpenAI platform, to US users of its app on 9 September 2025.
- At launch Ask Ralph answered natural language styling questions with complete, shoppable outfits drawn from men's and women's Polo Ralph Lauren inventory.
- In February 2026 CEO Patrice Louvet said styling and outfit discovery accounted for more than 50 percent of total engagement with Ask Ralph.
- Ralph Lauren describes Ask Ralph as a source of high quality first-party data as well as a personalisation tool, but it has not disclosed conversion or revenue figures for the assistant.
- As of early 2026 the company planned to add its full brand portfolio, international markets, voice and image-based search, which were not yet available.
Ralph Lauren uses AI most visibly in Ask Ralph, a conversational shopping assistant in its US app that turns questions such as what to wear to a concert into complete, shoppable outfits. Launched in September 2025 on Microsoft's Azure OpenAI platform, it is the company's main public generative AI deployment, and management now treats it both as a styling service and as a source of first-party customer data.
What has Ralph Lauren built?
According to Microsoft's announcement of 9 September 2025, Ask Ralph is an AI-powered conversational assistant that gives users "visually laid out, complete Polo Ralph Lauren looks with styling tips" in response to open-ended prompts. Users can ask for an outfit for an occasion or for ideas on how to style an item they already own, refine the suggestions in conversation, and add single items or entire looks to the basket.
At launch the scope was deliberately narrow:
- Channel: the Ralph Lauren app on iOS and Android, not the website.
- Market: the United States only.
- Assortment: men's and women's Polo Ralph Lauren inventory, not the full brand portfolio.
- Output: complete outfits with styling tips rather than a ranked list of products.
The recommendations are drawn from available inventory, which matters commercially: a styling answer is only useful if the shopper can buy it in their size.
Why did Ralph Lauren invest in AI?
The public statements point to two motives. The first is discovery. On the third quarter fiscal 2026 earnings call in February 2026, CEO Patrice Louvet said customers are "moving beyond traditional search toward rich natural language product conversations" and that AI is driving accelerated shifts in consumer behaviour. A brand that relies on outfits and styling, rather than single commodity products, has an obvious interest in a format that answers "how do I wear this?" instead of "show me navy blazers".
The second motive is data. Louvet said Ask Ralph is "becoming an important resource for high-quality first-party data". Conversations reveal intent, occasions and style preferences that classic search queries and clickstreams capture only partially. In May 2026 Glossy reported that the company also described AI as supporting faster iteration of core icons in design, automation in its global distribution centres and brand discovery across agentic search and commerce, which places Ask Ralph inside a wider technology agenda rather than as a stand-alone experiment.
How does Ask Ralph work?
Ralph Lauren has not published a technical architecture, so the description here is limited to what Microsoft and the company have stated. The assistant runs on Microsoft's Azure OpenAI platform, which provides access to large language models, and uses natural language processing to interpret open-ended and contextual requests. It then assembles recommendations from the Polo Ralph Lauren assortment and presents them visually as outfits.
Analysis: any assistant of this type depends on three layers of data. It needs rich product data (attributes, colours, fits, imagery and styling rules), live inventory so that it does not recommend unavailable items, and some form of brand guidance so that outfits look like Ralph Lauren rather than a generic combination. The language model handles the conversation; the quality of the answer depends largely on the product and inventory data behind it.
| Date | Milestone | Source |
|---|---|---|
| 9 September 2025 | Ask Ralph launched in the US Ralph Lauren app, built on Azure OpenAI, covering Polo Ralph Lauren men's and women's inventory | Microsoft |
| 5 February 2026 | CEO reports styling and outfit discovery account for more than 50% of engagement; plans for more brands, markets, voice and image search | Q3 fiscal 2026 earnings call |
| May 2026 | Company describes AI across design iteration, distribution centre automation and discovery in agentic search | Glossy |
What results has Ralph Lauren reported?
The disclosed results are qualitative, with one engagement figure. Louvet described "very encouraging early readings" and said styling and outfit discovery account for more than 50 percent of total engagement with the assistant, which suggests that customers use it as a stylist rather than as a search box. He also said the company is learning how consumers interact with natural language search.
Ralph Lauren has not disclosed conversion rates, average order values, revenue attributed to Ask Ralph or usage numbers. The company's strong fiscal 2026 results, including full-year revenue above 8 billion dollars for the first time as reported by Glossy, cannot be attributed to the assistant on the basis of public information.
What are the limits and open questions?
| Question | Public status |
|---|---|
| Commercial impact (conversion, basket size) | Not disclosed |
| Coverage of all brands | Planned, not available at launch |
| Availability outside the US and on the website | Planned expansion announced in February 2026 |
| Voice and image-based search | Announced as future features |
| Model governance and error handling | Not described publicly |
Several structural questions remain. Generative assistants can produce wrong or off-brand answers, and a luxury-positioned brand carries more reputational risk from a poor recommendation than a discount retailer. Expanding to more brands and countries multiplies the product data, languages and size systems the assistant must handle. And because conversations become a data source, privacy, consent and transparency about how that data is used will matter more as the tool scales, particularly if it reaches European markets.
What can other fashion companies learn?
Analysis: Ask Ralph offers a few transferable lessons, regardless of company size.
- Start narrow. One app, one market and one brand gave Ralph Lauren a controlled launch with a clear assortment.
- Design for the job customers have. The assistant answers styling questions with outfits, which matches how people shop for fashion and explains the high share of styling engagement.
- Treat product data as the real asset. Outfit recommendations are only as good as the attributes, images and inventory they draw on.
- Plan for the data, not only the interface. Conversation data can inform assortment, marketing and design if it is captured and governed properly.
- Be honest about measurement. Even a well-resourced brand has so far reported engagement patterns rather than hard sales impact, which is a reminder to define success metrics before launch.
Frequently asked questions
What is Ask Ralph?
Ask Ralph is Ralph Lauren's AI-powered conversational shopping assistant. It answers natural language styling questions with complete, shoppable outfits and styling tips. It launched in the US Ralph Lauren app in September 2025.
What technology does Ask Ralph use?
Ask Ralph is built on Microsoft's Azure OpenAI platform and uses conversational AI and natural language processing to interpret requests. Ralph Lauren has not published further technical details about its architecture.
Where is Ask Ralph available?
At launch it was available only in the Ralph Lauren app in the United States and covered Polo Ralph Lauren men's and women's products. In February 2026 the company said it planned to add more brands, more markets and deeper integration into its digital channels.
Has Ask Ralph increased Ralph Lauren's sales?
Ralph Lauren has not disclosed sales, conversion or revenue figures for Ask Ralph. Management has described early readings as very encouraging and said styling and outfit discovery account for more than 50 percent of engagement.
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