BlinkBot: Value-Exchange Basket Optimizer
Blinkit · Independent Product Case
- Identified 'Checkout Shock' as the core drop off trigger, a 25 to 30% sudden fee hike that breaks impulse buying flow and drives cart abandonment.
- Defined the target persona (Aarav, Tier 1 city, 22yr) and mapped the psychology behind checkout friction. Users don't reject the fee, they reject feeling penalized with no perceived value.
- Designed BlinkBot, an agentic GenAI solution on a 3 step LLM workflow (Context Scan, Dynamic Bundling, Generative Nudge) that converts the delivery fee into a personalized value exchange in real time.
- Projected impact at Blinkit's scale: 20% reduction in cart abandonment, ₹35 AOV lift per order, 20% D30 repeat purchase improvement and ₹9 Cr additional GMV per month across 4.5L daily orders.
