Understand buying intent through free-text inputs (concerns, preferences, budget).
Recommend most relevant product SKUs using real-time conversation context.
Adapt suggestions based on browsing behavior and past purchase patterns.
Show conversion-focused pop-ups triggered by scroll depth, cart activity, or session history.
Segment by new vs. returning users to deliver personalized hooks.
Deploy offers, product trivia, testimonials right before users bounce.
Detect hesitation via online user behaviour (dwell time, scroll speed, exit intent, inactivity).
Trigger contextual nudges - time sensitive discounts, USPs, reviews, delivery details.
AI agent ensures users don’t drop off due to indecision or confusion.
Use past purchases and chat history to suggest relevant add-ons or routines.
Recommend product pairings (e.g., full skincare or fashion looks) instead of single SKUs
Offer combo discounts inside the conversation to increase bundle adoption.
