The AI that runs the restaurant
Demand forecasting, food cost, ordering, shifts, waste. The layer that answers foodservice's most expensive question: how much is needed, where, and when.
Artificial intelligence
for Food & Beverage
Not a model trained in a lab but an AI platform built inside more than 100 restaurants.
- 0
- Directly operated locations in Italy
- 0
- Restaurant brands
- 0
- Guests served every day
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- Group revenue
The platform
What InvestFood AI is
InvestFood AI is the artificial intelligence platform for Food & Beverage built by InvestFood S.r.l. It combines three layers: operational AI for running restaurants, conversational AI for guests, and a licensed AI platform for other chains, on data collected across more than 100 directly operated locations in Italy. Planned launch: 2027.
The AI that talks to guests
Ordering, allergens, customisation and recommendations in natural language, in-app, at the kiosk and on delivery, with memory of what was ordered before.
The platform for everyone else
The same engine, licensed to chains, franchises and Food & Beverage suppliers that do not have an in-house data science team.
The modules
Eight decisions that are still made on instinct
Each module answers one precise operational question. No dashboard to interpret: a concrete proposal, with its margin of error stated.
Demand forecasting
How much you will sell tomorrow, per location, per item and per time slot. Weather, calendar and history feed the same model.
Food cost & margin
Plate cost recalculated continuously on real purchase prices, not on a six-month-old price list. An alert when a dish stops making money.
Ordering & suppliers
Automated order proposals aligned to the forecast, current stock and each supplier's real lead time.
Shift planning
Staffing built on the expected footfall curve, not on last week's average.
Waste reduction
Flags prepped items at risk before they become waste, and suggests where to move them or how to push them.
Menu engineering
Crosses margin and popularity item by item: what to push, what to reprice, what to drop from the menu.
Conversational assistant
Ordering, allergens and customisation handled in natural language, with answers traceable to real product sheets.
Personalisation & loyalty
Recommendations and rewards built on each guest's real history, not on generic segments.
The training ground
An AI trained where the cooking actually happens
Most restaurant AI is built outside restaurants. This one is not. InvestFood AI is being built inside a group that opens the doors of more than a hundred locations every day and has to answer the very questions the platform automates.
0directly operated locations in Italy, after MACHA joined the group
0active brands, from sushi to poké to fast-casual healthy
0guests served every day across the group's network
0people working in the restaurants and at head office
0in group revenue, growing through acquisitions
Use Cases
Who we are building it for
Three profiles with the same underlying problem: committing today to a quantity that only tomorrow will prove right or wrong.
A hundred locations, a hundred different forecasts
A shopping centre on Saturday and an office district on Tuesday do not share a curve. One central model is not enough.
- Forecasting per individual location
- Like-for-like comparison between sites
- Group standards, local execution
Peaks that arrive in twenty minutes
In delivery a forecasting error is not absorbed: either the rider waits, or the dish is not there.
- Forecasting in 30-minute slots
- Components prepped ahead of the peak
- Dynamic menu driven by real availability
Produce what the market actually absorbs
Suppliers to foodservice work on orders that arrive late and change often. Downstream demand can be known earlier.
- A demand signal shared upstream
- Production planning
- Fewer returns, fewer stockouts
Frequently asked questions
What people ask us most
What is InvestFood AI?
InvestFood AI is the artificial intelligence platform for Food & Beverage built by InvestFood S.r.l. It combines three layers: operational AI for running restaurants, conversational AI for guests, and an AI platform licensed to other chains. It is built on operational data from more than 100 directly operated locations in Italy.
Who builds InvestFood AI?
InvestFood AI is built in-house by InvestFood S.r.l., an Italian multi-brand restaurant group led by CEO Gianmaria Brusini, with 7 active brands, more than 100 directly operated locations in Italy and group revenue above 50 million euros.
Who is it for?
For high-volume foodservice: chains and franchises, delivery-first brands, operators in shopping centres and travel retail, and Food & Beverage suppliers that need to align production with real downstream demand.
How is it different from restaurant management software?
Management software records what already happened. InvestFood AI estimates what will happen: how much you will sell tomorrow per location and per item, how much to order, how many staff you need, which prepped items are about to become waste.
The output is a proposed decision, not a report to interpret.
Will it work for chains outside the group?
Yes. The third layer of the platform is designed to be licensed to other Food & Beverage groups once it is consolidated internally. Opening to external partners is planned for 2027, after rollout across all InvestFood brands.
Food & Beverage is about to get its own artificial intelligence.
In the meantime, the group building it keeps serving thirteen thousand people a day. That is where the data comes from.