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LLMs + behavioral data is the future here. We've been testing GPT-4 to analyze user browsing patterns and search queries in real-time. Early results show 40% better intent prediction than traditional ML models. The key is combining historical purchase data with natural language understanding.

Intent is the goldmine and understanding what your customers want (and when) is the secret sauce to e-commerce success. Without it, you’re just guessing and wasting money and if you're working on something like this. All the best. Shovel in a gold rush this could be.

Forget broad categories; focus on real-time behavior

Haa toh bhai that's what pixels are installed for na? Depending on user behaviour they assess na what can be better?

Processing cursor movements + dwell time through transformers is showing 82% accuracy in predicting cart abandonment before it happens. This could revolutionize how we target retention efforts and reduce CAC.