The Retail Revolution: Real-World Generative AI Applications
summary
Company claims it processes 2 billion monthly interactions and services about 60% of the local Indian market and reports retailers clustered into 40% waiting 50% piloting 10% scaling. Demonstrations show an LLM-grounded Q&A engine built in 24–48 hours, catalog fixes that relabel categories and flag mismatched images, conversational sales agents that remember context and suggest product bundles, call-center transcript analysis and review summarization, about 30–40 deployments to date, and a cited ~20% hallucination risk requiring governance.
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chapters (11)
- 0:00Introduction to Haptik
- 1:51Generative AI in Retail
- 3:35AI-Powered Q&A Solutions
- 5:00Sales Assistant with LLMs
- 6:46Beauty Brand Demo
- 8:51Catalog Management with LLMs
- 10:37Brand Trend Analysis
- 11:21Text and Image Generation
- 12:03Chat Transcript Analysis
- 12:45Review Summarization
- 13:06Key Learnings from Deployments
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