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Launch · Commerce & Consumer Brands

Meesho launches AI system PRISM to drive 75% of orders via discovery-based feed

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Date
Company
Meesho
What it does
social commerce platform
Kind
Launch
Based in
Bengaluru
Sector
Commerce & Consumer Brands

What they do

Meesho uses an AI system called PRISM to recommend products to its 264 million transacting users each year

What happened

PRISM handles 75% of orders by predicting user intent through real-time behavior, not just text searches

Why it matters

The system processes 6 trillion daily inferences and uses 100 AI models trained on 400 trillion signals

The details

  • Meesho launched PRISM, an AI system that drives 75% of its orders through a discovery-based feed.
  • PRISM uses real-time user behavior to predict intent, unlike traditional e-commerce search bars.
  • The system processes 6 trillion daily inferences and uses 100 AI ranking models trained on 400 trillion input signals.
  • During peak traffic, PRISM handles 100 million inferences per second.
  • Meesho built BharatMLStack, an in-house machine learning infrastructure to reduce data processing costs.
  • PRISM includes Trendpulse, an LLM that tracks regional purchase patterns and matches inventory to local demand.
  • The system supports 10 languages, focusing on voice-led navigation and regional dialects.
  • PRISM manages product recommendations, trend analysis, and seller distribution metrics.
  • It operates on data from 263 million monthly active users, 17 billion daily product views, and 2 billion user ratings and reviews.

The bigger picture

  • Meesho’s PRISM system reflects a shift from keyword-based search to intent-driven discovery in e-commerce.
  • The system’s ability to handle 6 trillion daily inferences highlights the scale of Meesho’s user activity.
  • BharatMLStack was developed to cut costs compared to standard cloud solutions.
  • Trendpulse helps align inventory with local demand, improving relevance for users in different regions.

About the business

  • It focuses on India’s growing internet user base, many of whom prefer voice commands and browsing over text search.
  • The platform processes 17 billion daily product views and 2 billion user ratings and reviews.
  • Meesho’s Net Merchandise Value (NMV) reached ₹11,371 crore in Q4 FY26, up 43% year-on-year.
  • The company reported a 66% reduction in losses, with contribution margins rebounding to 4.0% of NMV.

The deal

Type
launch

Founders

  • Debdoot Mukherjee, Chief Data Scientist

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