Myntra has integrated AI into its product development pipeline, increasing feature rollout velocity by 40% and slashing turnaround times for catalogue generation, supply chain simulations, and seller onboarding. The fashion and lifestyle platform now uses AI across customer discovery, catalogue management, and internal analytics, with measurable speed gains throughout its operations.
Sharon Pais, head of Myntra, said, "Technology has always been at the core of every journey on Myntra. 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."
Shrinking operational timelines with AI
Supply chain simulations that once took two days now finish in about one hour. Catalogue generation turnaround dropped from one day to four hours, and the platform automatically produces 400-600 dynamic product videos daily. It also maps up to 40 product attributes per item to improve search visibility. These changes fall under AI for Operations, where automation is cutting manual effort and compressing project timelines.
Internal teams use BIRA, a business intelligence retrieval agent, to write complex data queries in natural language, reducing the time spent on analytics. The company's conversational support platform, Meera, resolves more than 30% of standard customer queries, freeing support staff for harder problems.
Customer-facing AI expands beyond search
Myntra's size and fit intelligence system now covers roughly 85% of eligible apparel products, delivering size recommendations and fit explanations in under two seconds. 90% of monthly active users receive personalised search results powered by AI. The platform is also building a contextual styling suite that recommends complete looks, moving beyond simple product search.
Seller tools cut onboarding from weeks to days
Seller onboarding time has shrunk from 10-15 days to under two days, thanks to an AI-powered seller growth hub that lets new brands register in minutes and start selling within one to two days. Myntra also launched saarthi, an AI voice platform that automates routine seller communications and routes complex issues to human support teams.
Why this matters for product development
Myntra's 40% increase in feature rollout velocity is a direct signal for product development teams. The company used AI for Product Development tools to accelerate its release cycles, compressing the time from idea to launch. For product builders, the takeaway is concrete: AI can reduce manual overhead in testing, content generation, and data querying, allowing teams to ship faster. The same internal tools that cut catalogue generation from a day to four hours and supply chain simulations from two days to one hour are the kind of efficiency levers that product leaders can apply to their own roadmaps. All AI deployments operate with human oversight and privacy safeguards, which means these speed gains didn't come at the cost of governance.
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