Giving restaurant owners back control of their margins with AI.
B2B foodtech SaaS for restaurant cost optimization. Centralizes recipes, stock, orders and margins, powered by predictive AI (sales, order and stock forecasting). Measured impact: −15% waste, −25% admin, +7% margins.
I lead the platform's technical direction and cybersecurity.
01 The need
In the food business, margins are won by the cent: recipes, stock, orders and supplier prices often live in scattered spreadsheets with no real-time view. Restaurant owners needed a single tool to manage the economics of their business straight from their recipes.
02 The solution
As CTO, I built the platform from scratch, iterating constantly with chefs and restaurant owners: architecture, tech choices, development and production. AI sits at the core of the product to automate economic decisions.
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Full SaaS platform: recipe sheets, stock, orders, margins and production planning -
Predictive AI: sales forecasting, predictive ordering and stock projections -
Short iterations with users — every feature serves a precise business goal
03 Technologies
- TypeScript
- Node.js
- NestJS
- React
- PostgreSQL
- AWS
The results
Measured results across user establishments: −15% food waste, −25% admin time and +7% margins. The product is live and keeps evolving.