01
The difficult problem
Competitor signals were fragmented across storefronts, delivery locations, currencies and noisy review data.
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Product intelligence
DataIntel
An AI-native product-intelligence platform that turns changing product, price, review and availability signals into decision-ready briefs.
PlatformAutonomousResearch
The brief
Built around the hard part.
02
The intelligence built
A resilient collection layer normalizes each market, scores confidence and generates evidence-linked commercial recommendations.
SectorCommerce & Growth ↗
System architecture
How the system works.
The model is one layer. The value comes from connecting inputs, intelligence and production action as one accountable system.
- 01
Fetcher orchestration
Acquire and structure the operating signal.
- 02
Structured extraction
Transform it through the model, rules and control layer.
- 03
AI insight generation
Deliver a decision, artifact or action into production.
In production
Where it runs.
Deployment
Cloud platform with scheduled market monitoring and browser-based analysis.
What it changes
A repeatable path from raw storefront change to evidence-backed action.
Production stack
- Python
- Playwright
- FastAPI
- PostgreSQL
- Redis
- Next.js