Challenge
Customer orders were lost in manual inbox loops, and inventory mismatching caused frequent cancellations.
Tooty Commerce AI SaaS // Retail & Local Commerce
A conversational commerce bot optimizing local ordering and last-mile delivery tracking.
70% Orders booked by AI bot
45% Reduction in cart drop-offs
Category AI SaaS
Industry Retail & Local Commerce
Client Target Conversational Delivery Brand
Timeline 9 weeks
Key Features & System Architecture
Core deliverables and functional features designed for this build
01 // Agent Core
Conversational cart manager
Allows shoppers to add products, select variants, and confirm checkout details using voice or text.
Twilio SMS / WhatsApp OpenAI APIs FastAPI web framework PostgreSQL database Shopify catalog API
02 // Core Console
Live delivery notifications
Pushes automated WhatsApp notifications when order statuses transition from packaged to dispatched.
03 // System Node
Semantic product query
Matches customer requests against catalog assets to recommend in-stock alternatives.
04 // Integration
Admin dashboard
Unified control console for catalog adjustments, chat logs, and active order indicators.
Case Study
A commerce brand was losing sales to slow messaging responses. We delivered an AI commerce bot with catalog searching.
Approach
We mapped chat intents to product schemas, established OpenAI search rules, and integrated Twilio webhook handlers.
Outcome
Conversational order processing grew to 70% of total transactions. Checkout drop-offs dropped 45% as ordering simplified.
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