India’s e-commerce landscape is rapidly evolving, and Meesho is betting that the future of online shopping lies in discovery rather than search. The company has unveiled the growing impact of PRISM (Personalised Ranking and Intent Signal Module), its proprietary artificial intelligence system that is transforming how millions of Indians discover products and make purchasing decisions online.
Unlike traditional e-commerce platforms that rely heavily on users typing specific product searches, PRISM is designed to understand consumer intent in real time. The system reflects the shopping habits of a large segment of Indian consumers who prefer browsing and discovering products rather than searching for a predefined item.
Meesho, currently India’s largest e-commerce platform by annual transacting users and placed orders, serves an enormous customer base. The platform recorded 264 million annual transacting users and 717 million orders during the fourth quarter of FY26. According to the company, more than 75 per cent of orders now originate from AI-powered personalised feeds driven by PRISM.
At the heart of the technology is an advanced intelligence and ranking architecture that continuously analyses behavioural, transactional and contextual signals. PRISM operates through more than 100 AI ranking models and processes over 400 trillion input signals while generating more than 6 trillion inferences daily. These calculations occur within milliseconds, helping consumers discover products that closely match their interests and shopping behaviour.
The technology is also designed to benefit sellers. By identifying users with strong purchase intent, PRISM improves product visibility and helps businesses connect with customers who are more likely to engage and complete purchases.
One of PRISM’s standout features is its support for multilingual commerce. The platform currently supports more than ten Indian languages, including Hindi, Bengali, Marathi, Tamil, Telugu, Kannada, Malayalam, Gujarati, Punjabi and Odia. This multilingual capability allows Meesho to reach consumers across diverse regions and linguistic backgrounds.
The system is powered by BharatMLStack, Meesho’s in-house machine learning infrastructure platform. Built specifically for large-scale AI operations, BharatMLStack enables the company to process vast amounts of data efficiently while maintaining lower inference costs than conventional cloud-based solutions.
Another key component of PRISM is Trendpulse, a large language model-powered discovery engine that identifies emerging shopping trends across cities, regions and consumer groups. This allows Meesho to surface products that align with changing preferences and local demand patterns.
Debdoot Mukherjee, Chief Data Scientist and Head of AI and Demand Engineering at Meesho, believes the next phase of India’s internet growth will be driven by discovery-led experiences. He noted that future consumers are increasingly voice-led, multilingual and less dependent on traditional search methods. According to him, AI must evolve beyond efficiency and become intuitive, anticipating user needs and simplifying product discovery.
The scale of Meesho’s ecosystem provides a significant advantage. The platform currently records 263 million monthly active users, around 17 billion product views each day, more than 1.5 billion ratings and over 500 million reviews. These interactions help continuously strengthen the intelligence behind PRISM.
As discovery-led commerce gains momentum, Meesho sees PRISM as the foundation for the next generation of shopping experiences in India. The company believes its AI-powered ecosystem will make online shopping more personalised, intuitive and accessible while creating new opportunities for sellers across the country.
Subscribe Deshwale on YouTube
