Walmart-backed Myntra has significantly accelerated its AI deployment across core operations, cutting seller onboarding time from 10-15 days to just 1-2 days and reducing newly listed product catalog time from one day to four hours. According to recent interviews with Myntra's chief technology officer Pramod Adiddam and chief product officer Lakshminarayan Swaminathan, AI voice agents now handle more than 30% of customer support calls, with customer satisfaction on these interactions doubling. The company's 90% of monthly active users now experience personalised search, contributing to a 20% increase in customer conversion compared to two years ago. Registration itself is now completed in minutes, demonstrating the dramatic acceleration in onboarding processes.
The AI implementation has generated substantial operational efficiency gains across multiple areas. As reported by Myntra's executives, AI tools now produce 400-600 product videos daily with automatic tagging of up to 40 attributes per listing. The company's size recommendation engine covers 85% of eligible apparel catalog and provides explanations in under two seconds. Myntra's internal AI data assistant BIRA has enabled an eight to ten-fold jump in analytics productivity, making supported analyses eight to ten times faster. AI tooling has also helped lift feature rollout speed by 40%, while systems now automate returns and fraud checks, speeding up refunds significantly.
The AI push comes as Myntra faces intensifying competition from multiple fronts. According to Business Standard, Nykaa posted 26% revenue growth to ₹10,022 crore in FY26, crossing $1 billion in revenue and expanding into fashion. Amazon India, Reliance's Ajio, and quick commerce apps are also encroaching on fashion delivery times. Myntra controls an estimated 35-40% of India's organised online fashion market and recently widened its lead over rival apps in daily active users. The company posted ₹6,043 crore revenue in FY25, with executives noting that AI has moved beyond experimental phases to full-scale deployment across customer and seller experiences.
Executives emphasize that AI has moved beyond experimental phases to full-scale deployment across customer and seller experiences. As reported by Myntra's executives, the company is developing more agentic AI for internal operations while keeping humans in the loop, with strong potential for AI-powered shopping and support assistants. Myntra's focus centers on solving for customers and sellers through AI-powered size-and-fit recommendations and virtual styling to recreate a trial room experience on smartphones. The company is expanding into quick commerce and new markets including Singapore and Malaysia, positioning itself as a technology leader in fashion and lifestyle innovation. Myntra's competitive advantage comes from continuously improving its AI models, creating a flywheel in which better experiences drive higher engagement and generate more data.
