Shop.ly — AI Shopping Agent
3x Conversion Rate with AI Shopping Assistant
The Challenge
Category browsing and filter pages convert poorly on long-tail queries. Merchants needed a chat surface that actually understood their catalog constraints.
Our Approach
Shop.ly indexes the full merchant catalog (descriptions, images, pricing, inventory) and applies business rules — promotions, stock limits, delivery zones — inside the chat turn itself.
The Execution
Delivered across Ongoing with the following technology stack:
How we worked
Discovery
Deep-dive into existing systems, constraints, and stakeholder interviews.
Architecture
Design the system blueprint, data models, and integration points.
Prototype
Ship a working slice end-to-end to validate assumptions.
Build
Full development with weekly demos and continuous integration.
Deploy
Production rollout with monitoring, rollback plans, and training.
Scale
Performance tuning, documentation, and knowledge transfer.
The Results
- 3x conversion rate vs. traditional search
- Sub-2-second average response time per query
- 40+ product categories live across FnB, retail, and consumer goods
Architecture Overview
The Future
We are actively shipping new capabilities, onboarding early partners, and expanding the platform. The roadmap is public — if this intersects with what you are building, we would love to talk.