Myntra scales AI integration, cuts seller onboarding time from 15 days to under 2

Myntra Deploys AI Integration Across Three Core Pillars

Myntra, the fashion and lifestyle e-commerce platform owned by Flipkart Group, has announced a significant expansion of its AI integration capabilities. The latest technology buildout focuses on three core pillars: customer experience, seller enablement, and operational efficiency 1

1

. According to Sharon Pais, Head of Myntra, "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" 2

2

. This strategic deployment addresses critical challenges in online fashion retail while accelerating time-to-market for brand partners.

AI Cuts Seller Onboarding Time from 15 Days to Under Two

The most striking impact of Myntra's AI-driven improvements appears in seller onboarding. The company's AI-powered Seller Growth Hub has reduced the end-to-end seller onboarding process from 10-15 days to approximately 1-2 days, with initial registration now completing within minutes 3

3

. This dramatic reduction gives brand partners faster access to Myntra's customer base and platform capabilities. Once onboarded, early-stage sellers receive daily operational guidance to progress toward their first set of orders, while established sellers gain access to trend insights, performance dashboards, and growth tools. For the thousands of brands operating on the platform, this compressed timeline translates directly into faster revenue generation and reduced operational friction.

Dynamic Product Video Generation and Catalogue Automation

Myntra's upgraded cataloguing infrastructure demonstrates the tangible benefits of operational efficiency through AI. The system now produces 400-600 dynamic product videos daily, while catalogue generation turnaround time has been compressed from one day to four hours 1

1

. The platform maps up to 40 structural attributes per product to support search visibility for independent brands and sellers. Additionally, complex supply chain network simulations that previously required two days now complete in one hour. Myntra's internal compliance protocol, Scout, applies quality guardrails before publication, with human catalog experts providing the final check on listing accuracy 3

3

. This automation layer allows the company to scale content creation without proportionally increasing headcount.

AI-Powered Size and Fit Intelligence Covers 85% of Apparel

Addressing one of the most persistent challenges in online fashion, Myntra has deployed an AI-powered Size and Fit Intelligence layer that covers approximately 85% of its eligible apparel portfolio 2

2

. This feature goes beyond basic size recommendations to explain why a particular size may work for a given shopper and visualize how garments may drape across different body types. Size recommendation responses are delivered in under two seconds, while fit visualization across multiple body types is being scaled progressively. This capability directly impacts purchase confidence and could reduce return rates—a significant cost driver for fashion e-commerce platforms. Currently, 90% of Myntra's monthly active users experience personalised search on the platform 1

1

.

AI Across Customer Discovery and Proprietary Tools

Myntra has deployed several proprietary AI tools to streamline both internal and external processes. Saarthi, the company's AI-led voice intelligence platform, automates structured partner communications, manages high-volume operational queries, and routes complex issues to specialist human support teams 2

2

. Internal teams can build custom use cases on the platform for specific campaigns. BIRA, Myntra's Business Intelligence Retrieval Agent, enables teams to run complex data queries using everyday language through natural language data queries, automatically generating relevant SQL without requiring deep technical knowledge 3

3

. Analytical workflows that previously took days now complete in minutes. Meera, a conversational support layer, resolves over 30% of standard customer queries 1

1

. On the product development side, AI has helped drive a 40% increase in feature rollout velocity.

Human Oversight and Privacy Safeguards Remain Central

Despite extensive automation, Myntra emphasized that all AI deployments across the platform operate with human oversight, privacy safeguards, and built-in governance 2

2

. This approach balances efficiency gains with quality control and regulatory compliance. As the e-commerce platform continues to scale AI capabilities, the focus remains on strengthening capabilities that give brand partners clear pathways to scale while making the shopping experience more relevant and confident for customers. For businesses watching this space, Myntra's deployment offers a blueprint for how AI can compress operational timelines without sacrificing quality—particularly relevant as competition intensifies in India's fashion e-commerce market.