An MVP concept for analyzing uploaded utility bills using OCR and AI to recommend cheaper plans and deals.
Client
Imane
Location
Europe
Duration
Architecture & MVP Planning
Team
Technical Architect & Future Implementer

Before
Users can overpay for utilities without understanding their real usage patterns or market options. The client needed a system to make sense of uploaded bills and surface better deals automatically.
What We Built
We drafted a robust system combining OCR pipelines, AI-driven comparison logic, and a clean dashboard for insights, giving the client a realistic blueprint to move from idea to working MVP.
Designed a full-stack architecture for OCR + AI-based bill comparison.
Outlined user flows, data models, and future mobile app integration.
Prepared a clear technical roadmap for MVP and later scaling.
Cost Reduction
Goal
Help users automatically find cheaper utility options
Built With
What We Delivered
"The system design covered everything I needed and more. It gave me clarity on the technical path ahead."