Ralph Lauren’s new AI assistant, Ask Ralph, offers personalized outfit recommendations. Could it also help consumers shop more sustainably by reducing returns and waste?
Ralph Lauren’s new AI experiment, Ask Ralph, which launched this week inside its U.S. app, promises to act like a personal stylist in your pocket. The tool — built on Microsoft’s Azure OpenAI — invites shoppers to type or speak questions ranging from “What should I wear to a concert?” to “Show me some women’s Polo Bear sweaters.” In response, it delivers complete outfit ideas styled head to toe from the Polo Ralph Lauren collection, all available for immediate purchase.
The company describes it as a way to extend the in-store experience into digital spaces, with users able to refine looks, swap items, or add single pieces to their cart. David Lauren, Chief Branding and Innovation Officer, framed it as both an evolution and a nod to heritage. “Twenty-five years ago, we partnered with Microsoft to launch one of the fashion industry’s first e-commerce platforms, and today, we are once again redefining the shopping experience for the next generation,” he said.
For customers, the appeal is clear: curated styling inspiration without the trial-and-error of endless scrolling. But the bigger question is whether this kind of AI can change how we shop — and specifically, whether it can lead to more sustainable habits.
Smarter choices, more sustainable purchases?
One of the strongest arguments in favor of AI styling is its ability to streamline decision-making. Research shows that nearly 60 percent of consumers already use some form of AI in shopping, in part because it helps reduce choice overload and increases confidence in final selections. By offering visual outfit laydowns, Ask Ralph could lessen the temptation to overbuy or make ill-fitting purchases that often end up being returned.
Returns are a hidden environmental cost in fashion. Every returned item adds emissions from shipping and often ends up discounted, destroyed, or dumped rather than resold at full price. The industry’s return rates surged from 20 percent to 28 percent during the most recent holiday season, even as AI-driven sales grew to $229 billion globally. If a tool like Ask Ralph manages to guide shoppers toward the right size and fit the first time, it could make a tangible difference in lowering waste.
Virtual try-on tools already point in that direction, showing that accurate previews reduce mismatched purchases. Ask Ralph is not a virtual fitting room — yet — but its conversational, personalized approach could lead there. For now, its promise lies in making shopping more intentional, less impulsive, and better aligned with real wardrobes.
Where trust and sustainability meet
For all its potential, consumers remain cautious. A U.S. survey from Omnisend found that only 34 percent of shoppers would allow AI to complete purchases on their behalf. While many welcome tailored suggestions and faster navigation, more than half voiced concerns about privacy and data misuse. Trust, in other words, is as central as style.
Adoption also skews younger. About 24 percent of Gen Z have used AI shopping assistants compared to just seven percent of baby boomers. Still, awareness is growing, with nearly half of American consumers familiar with the concept, even if two-thirds say they are not yet interested. Many who remain hesitant note that they would be more likely to try such tools if they focused on finding better prices or clearer product comparisons.
The global market, however, suggests momentum is inevitable. Analysts forecast the value of AI shopping agents to jump from $7.4 billion today to more than $47 billion by 2030. For Ralph Lauren, that means Ask Ralph is as much about shaping consumer trust as it is about selling polos and blazers. Shelley Bransten, Corporate Vice President of Global Industry Solutions at Microsoft, put it simply: “AI is transforming the way consumers get inspired, educated and purchase from fashion brands around the world.”
For shoppers, the test will be whether this technology makes fashion feel easier and more personal — while helping reduce the wasteful churn of trend-driven buying. If it succeeds, the biggest impact may be a quieter one: fewer impulse clicks, fewer boxes on doorsteps, and wardrobes that feel more complete.
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