Ralph Lauren and Microsoft Collaborate on AI-Powered Shopping App
ByAinvest
Wednesday, Sep 10, 2025 9:53 pm ET1min read
MSFT--
Ask Ralph utilizes natural language processing and advanced conversational AI to understand user prompts, interpret context, and provide tailored recommendations. The app offers shoppable visual laydowns of complete outfits, personalized to users' queries, from across available inventory within the Men's and Women's Polo Ralph Lauren brand. Users can interact with the app through simple, conversational prompts, such as "What should I wear to a concert?" or "Show me some women's Polo Bear sweaters," and receive visually laid-out, complete Polo Ralph Lauren looks with styling tips.
Developed with Microsoft on its Azure OpenAI platform, Ask Ralph aims to create a more engaging and personalized shopping experience. The app allows users to refine recommendations and add individual elements of a look to their shopping carts or purchase the head-to-toe recommendation. The integration of content from across Ralph Lauren's digital channels further enriches the shopping experience.
This latest milestone in Ralph Lauren's history of innovation follows a decades-long partnership with Microsoft, which began with the launch of one of the fashion industry's first e-commerce platforms. The company continues to invest in AI and other technologies to enhance the consumer experience and optimize operations.
Ask Ralph is rolling out to Ralph Lauren app users in the U.S. beginning today on Apple and Android devices. The app's success will inform future developments, including the release of new features and increased personalized experiences, expanding to additional Ralph Lauren brands, and launching across more platforms in markets around the world.
Ralph Lauren's commitment to innovation and technology is evident in its ongoing investment in AI and other advanced technologies. The company's goal is to surprise, delight, and inspire consumers through cutting-edge ideas and immersive retail experiences. As the app continues to evolve, it promises to set new standards in the industry, blending timeless style with modern technology.
RL--
Ralph Lauren has launched a new AI-powered conversational shopping app, "Ask Ralph," in partnership with Microsoft. The app uses natural language processing and advanced AI to understand prompts, interpret context, and provide suitable recommendations. It aims to create a shopping experience similar to speaking with an in-store stylist. The app allows customers to ask questions, refine results, and view visuals of complete Polo Ralph Lauren looks with styling tips.
Ralph Lauren Corporation (NYSE: RL) has introduced "Ask Ralph," a new AI-powered conversational shopping experience, in partnership with Microsoft. This innovative app, designed to enhance the shopping journey for Ralph Lauren app users in the United States, leverages advanced AI technology to mimic the experience of speaking with an in-store stylist.Ask Ralph utilizes natural language processing and advanced conversational AI to understand user prompts, interpret context, and provide tailored recommendations. The app offers shoppable visual laydowns of complete outfits, personalized to users' queries, from across available inventory within the Men's and Women's Polo Ralph Lauren brand. Users can interact with the app through simple, conversational prompts, such as "What should I wear to a concert?" or "Show me some women's Polo Bear sweaters," and receive visually laid-out, complete Polo Ralph Lauren looks with styling tips.
Developed with Microsoft on its Azure OpenAI platform, Ask Ralph aims to create a more engaging and personalized shopping experience. The app allows users to refine recommendations and add individual elements of a look to their shopping carts or purchase the head-to-toe recommendation. The integration of content from across Ralph Lauren's digital channels further enriches the shopping experience.
This latest milestone in Ralph Lauren's history of innovation follows a decades-long partnership with Microsoft, which began with the launch of one of the fashion industry's first e-commerce platforms. The company continues to invest in AI and other technologies to enhance the consumer experience and optimize operations.
Ask Ralph is rolling out to Ralph Lauren app users in the U.S. beginning today on Apple and Android devices. The app's success will inform future developments, including the release of new features and increased personalized experiences, expanding to additional Ralph Lauren brands, and launching across more platforms in markets around the world.
Ralph Lauren's commitment to innovation and technology is evident in its ongoing investment in AI and other advanced technologies. The company's goal is to surprise, delight, and inspire consumers through cutting-edge ideas and immersive retail experiences. As the app continues to evolve, it promises to set new standards in the industry, blending timeless style with modern technology.

Stay ahead of the market.
Get curated U.S. market news, insights and key dates delivered to your inbox.
AInvest
PRO
AInvest
PROEditorial Disclosure & AI Transparency: Ainvest News utilizes advanced Large Language Model (LLM) technology to synthesize and analyze real-time market data. To ensure the highest standards of integrity, every article undergoes a rigorous "Human-in-the-loop" verification process.
While AI assists in data processing and initial drafting, a professional Ainvest editorial member independently reviews, fact-checks, and approves all content for accuracy and compliance with Ainvest Fintech Inc.’s editorial standards. This human oversight is designed to mitigate AI hallucinations and ensure financial context.
Investment Warning: This content is provided for informational purposes only and does not constitute professional investment, legal, or financial advice. Markets involve inherent risks. Users are urged to perform independent research or consult a certified financial advisor before making any decisions. Ainvest Fintech Inc. disclaims all liability for actions taken based on this information. Found an error?Report an Issue



Comments
No comments yet