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Case study · AI in service

A bigger bill per table

A single-location restaurant where the bill per table depended heavily on who was on shift. We connected till and menu costing in Odoo and built a waiter agent that suggests the right extra at order time.

Business
Single-location restaurant
Focus
AI in service
Runs on
Odoo + AI
Modules
Till & service, Menu & costing
Before

Where it started

Experienced waiters sold well, new temps barely knew the menu. Recommendations were luck, and high-margin dishes got lost.

Our approach

What we built

With the owner we agreed which combinations fit the house and which dishes should be promoted. Then we stored recipes and margins in Odoo and built the agent to make short, fitting suggestions on the till without slowing service down.

What the AI does every day
  1. Suggests matching drinks, sides and desserts as orders are rung up
  2. Favours high-margin dishes and takes stock levels into account
  3. Works on the till for staff and in the digital menu
  4. Learns which suggestions get accepted
After

What changed

In every new project we measure before and after from day one, so you see the effect in your own numbers, not ours.

The average bill per table has gone up
Good recommendations no longer depend on individual talent
Every suggestion is visible and measurable in the system

Want this in your restaurant?

Book a call. In step 1 you see your own menu running in Odoo, and you pay only after you have seen it.