Eat
Green
An AI-powered food ordering app that helps users discover, order, and track sustainable meals. The chatbot learns your preferences and recommends dishes that match your taste and values.
The Challenge
We built a chatbot that learns what you like. It recommends meals, schedules deliveries, and tracks orders from kitchen to door.
Core Architecture
Three systems work together. The chatbot reads natural language and finds meals. The control room schedules deliveries. The onboarding flow teaches the AI what you like.
AI Chat Assistant
A conversational interface that understands dietary preferences, answers questions about ingredients, and guides users through checkout with personalized recommendations.
Control Room
A centralized dashboard where users view upcoming deliveries, reschedule orders, modify item lists, and cancel subscriptions with a single tap.
Onboarding & Personalization
Visual flows that collect delivery addresses, frequency schedules, timing preferences, and dietary restrictions to calibrate the AI recommendation engine from day one.
The Impact
The chatbot cut browsing time. Real-time tracking eliminated delivery surprises. Personalized recommendations kept users ordering.
The chatbot recommended meals based on past orders and stated preferences, cutting browse-to-checkout time.
Real-time tracking showed users exactly where their food was, from kitchen to doorstep.
The AI learned dietary preferences and suggested new dishes users actually wanted to try.
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