Kitchen Tech
10 min

RestaurantAI — B2B SaaS for Restaurants, built by a practitioner who counts profit, not feelings

B2B SaaS platform for restaurants combining inventory, recipes, menu engineering, and AI into a unified profit management system.

RestaurantAI — B2B SaaS for Restaurants, built by a practitioner who counts profit, not feelings

In Development

v1.0.0 • B2B SaaS • Solo Builder

RestaurantAI

B2B SaaS platform for restaurants that I'm developing as a chef and engineer, combining inventory, recipes, dishes, menu engineering, and AI recommendations into a unified profit management system.

Chef Dima Fomin
Chef's Tip

Simple goal: restaurants should make decisions based on numbers, not "feelings".

Solo builder workspace — founder-led B2B SaaS for restaurants

Live Demo

You can open the demo and test key features right now:

RestaurantAI — B2B SaaS Platform

LIVE DEMO (external site):
https://b2b-saas-tau.vercel.app

Full overview on this site →
Open RestaurantAI page

✔ Mobile Ready
✔ Full-featured prototype

Sushi Delivery System — online ordering system

A separate demo — a complete online ordering system for a sushi restaurant with menu, cart and order tracking.

Full overview on this site →
Open Sushi Delivery page

The Problem I See Every Day

Working in restaurants, I've repeatedly encountered the same problems:

  • ✗ Food Cost calculated in Excel
  • ✗ Real losses go unnoticed
  • ✗ Unclear which dishes drag profit down
  • ✗ Decisions made on "gut feeling"
  • ✗ Problems discovered too late
  • ✗ No systematic data control

From chaos to control — restaurant data problem and system solution

How RestaurantAI Works

RestaurantAI solves these problems systematically — from product tracking to specific AI recommendations.

The platform is designed as a unified logical system, not a collection of disconnected tools.

1. Inventory

You know exactly:

  • what's in stock
  • how much it costs
  • when it expires

Features:

  • product tracking by categories
  • expiration date control with warnings
  • real-time stock levels
  • unified ingredient database
  • no Excel and "approximate numbers"
Chef Dima Fomin
Chef's Tip

Inventory Management System — foundation of all calculations.

2. Recipes

Recipes are calculated based on inventory, not "in your head".

Capabilities:

  • automatic cost calculation
  • portions, weight, yield
  • warnings about problematic ingredients
  • unified recipe database

The system handles calculations, freeing time for chefs and managers.

3. Menu Engineering

Classic Menu Engineering, but automated.

RestaurantAI shows:

No tables and guesswork — only clear decisions.

4. AI Recommendations

RestaurantAI doesn't just display data — it suggests what to do.

Example recommendation:

Chef Dima Fomin
Chef's Tip

"Use expiring cream in 2 dishes — save 120 PLN"

AI suggestions:

  • always tied to money
  • show effect in PLN
  • help reduce waste and increase profit

Why It Works

  • ✔ Project created by one chef and developer
  • ✔ I know kitchens from inside and understand real operations
  • ✔ Solutions tested in restaurants, not presentations
  • ✔ Money at the center of every feature
  • ✔ All business logic and calculations on server

Who It's For

RestaurantAI is for those who want to control numbers, not guess:

  • medium-sized restaurants
  • cafes with full kitchens
  • cloud kitchens
  • gastronomic projects

Results the System Delivers

  • 📉 lower Food Cost
  • 📈 profit growth
  • ❌ fewer write-offs
  • ⏱ time savings
  • 📊 control in one place

What's Next

RestaurantAI is in active development. Future versions will enhance automation, analytics, and AI decision support.

If this approach resonates with you — stay tuned for updates.