Myntra Wants AI To Be Your Stylist, Size And Fit Expert And Shopping Guide, All At Once

There was a time when online fashion shopping was little more than a digital catalogue. You knew what you wanted, typed it into a search bar, applied a few filters and scrolled until something caught your eye. Today, however, shopping has evolved into a far more holistic experience—one that extends well beyond simply searching for a garment.

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What do I wear to my first day at a new job? How do I style linen trousers for an evening dinner? Will this dress flatter my body type? Is this really my size?

Increasingly, these are the kinds of questions shoppers expecttechnology to answer. As artificial intelligence reshapes everything from search engines to customer service, fashion retail is embracing a more intuitive and personalised way of helping people discover, style and shop.

For Myntra, the ambition is to help customers make more confident fashion decisions in an increasingly crowded digital marketplace, transforming online shopping from a product search into a more personalised styling experience.

Shopping That Starts With A Conversation

The biggest change is perhaps the simplest one: moving beyond keywords.

Instead of searching for "white dress" or "black heels", shoppers can now begin with natural conversations. Through Maya, Myntra's conversational AI assistant, discovery becomes less transactional and more intuitive. Customers can search for outfits based on an occasion, mood, destination orstyling dilemma, allowing the platform to respond with suggestions that feel more closely aligned with real-life needs rather than presenting an overwhelming list of products.

This evolution reflects how people naturally think about fashion. Rarely do we shop for clothes in isolation. We shop for moments. We shop to express ourselves, dress for occasions and make an impression, not simply to buy clothes.

Beyond Product Discovery To Personal Styling

Finding a garment is only one part of getting dressed. Knowing where to wear it, what to pair it with and whether it suits yourpersonal style is often the harder part.

That's where Myntra's AI-led Contextual Styling suite comes in. The platform offers styling suggestions that place supported styles  within a broader wardrobe context, helping shoppers understand where an outfit might work, how it can be styled and how it fits on different occasions. It brings a more personalised styling experience to digital shopping, bringing a more guided and personalised layer to digital shopping. 

Building on this are Occasion-Based Looks and Mix & Match, which offer styling inspiration and allow customers to Mix and Match AI-suggested outfits across supported styles. 

As the experience continues to evolve, it is also designed to help shoppers understand not only where they can wear a piece, but how to style it as part of a complete look. As fashion increasingly becomes about inspiration rather than individual purchases, these tools bring a more editorial, stylist-led approach to e-commerce.

Making Online Shopping Feel More Personal

One of the biggest frustrations of shopping online is uncertainty.

Will this fit me? And the ambiguity around the sizing standards of various brands. Will it look the way I imagine?

Myntra's AI-powered Size and Fit Intelligence aims to answer those questions by moving beyond standard size recommendations. Instead of simply suggesting a size, the platform explains why a particular recommendation is suitable, helping customers better understand and trust the decision. Today, the technology covers approximately 85 per cent of Myntra's eligible apparel portfolio, with size explainability delivered in under two seconds.

Fit Visualisation, which is being progressively rolled out, is designed to show how the same garment maydrape across different body types, acknowledging that identical sizes rarely look identical on different people. Myntra is also developing Try On Me, a forthcoming capability designed to allow customers to visualise a customised outfit on themselves as a digital avatar , adding another layer of confidence before making a purchase.

Together, these features help shoppers make more informed purchasing decisions while reducing the uncertainty that often leads to the hassle of returns and exchanges.

Discovery That's Built Around You

Personalisation has long been a cornerstone of digital shopping. Today, around 90 per cent of Myntra's monthly active users experience personalised search, with recommendations informed by individual preferences, browsing behaviour and shopping patterns. Instead of navigating a generic catalogue, shoppers increasingly encounter products that reflect their own tastes and interests, making discovery feel increasingly personal.

The same thinking extends to creator-led discovery. Fashion inspiration now comes as much from creators and everyday shoppers as it does from traditional campaigns, and Myntra is building a personalisation layer for Glamstream, their social commerce platform to make creator-led content more relevant to the user and closely connected to shopping. . 

The Technology Behind The Experience

While these features are designed to simplify the customer journey, they are supported by a much broader AI ecosystem operating behind the scenes.

Myntra's AI-powered Seller Growth Hub has reduced seller onboarding timelines from 10–15 days to approximately one to two days, enabling brands to reach customers faster. Across the platform, AI has also accelerated catalogue generation turnaround time  from one day to four hours and helped engineering teams increase feature rollout velocity by 40 per cent. These operational improvements allow new features to reach shoppers faster while enabling brands and sellers to bring products to market more efficiently.

As Sharon Pais, Head of Myntra, explains, "This consistent approach compounds across thousands of brands and directly shapes how customers discover on the platform. . Our focus remains on strengthening capabilities that give brand partners clear pathways to scale while continuing to make the shopping experience more relevant and confident for customers. For us, AI is not just a layer we have added on top, it sits at the heart of how Myntra operates, from the moment a customer opens the app to how our teams continue to innovate."

As AI continues to evolve, it's role in fashion is becoming less about simply surfacing more products and more about providing relevant, contextual guidance.  The future of online shopping may not be defined by surfacing more choices, but by helping people navigate those choices with greater confidence. In that future, the most valuable feature may not be a smarter search bar at all, but a digital stylist that understands not only what you're looking for, but why you're looking for it—making fashion discovery feel more personal and intuitive .