How Myntra built a GenAI shopping assistant that remembers, recommends, and responds in milliseconds
Blog post from Aerospike
Myntra, one of India's largest fashion e-commerce platforms, has integrated Aerospike's real-time GenAI architecture to enhance its GenAI-powered shopping assistant, Maya, facilitating personalized and seamless shopping experiences. Maya allows users to ask questions and receive tailored recommendations, maintaining conversation continuity across sessions and devices. The integration of Aerospike enables Myntra to efficiently handle both durable storage and sub-millisecond data retrieval, crucial for processing millions of clickstream events and delivering real-time personalization. Before adopting Aerospike, Myntra faced challenges with separate systems for feature storage, state management, and caching, which were resolved by unifying these functions under a single Aerospike-backed cluster, enhancing both performance and operational simplicity. This architecture supports the high demands of peak sales events, such as the Big Fashion Festival, enabling Myntra to manage half a million concurrent users and over 20,000 orders per minute while maintaining stable latency. As Myntra continues to expand its GenAI capabilities across the customer journey, the Aerospike infrastructure provides a scalable foundation to support both current and future AI-powered retail innovations.
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