Use case

Your restaurant orders just enough and sets the rota by expected covers

A group of three restaurants. Every day, the manager eyeballs two decisions that weigh on the bottom line: what to order from suppliers, without knowing how many covers tomorrow will bring, and how many people to put front and back of house, service by service. The data to decide better already exists: years of till receipts, purchases and rotas. Nobody has time to read it.

  1. Yesterday's sales and bookingsPlus the weather and local events.
  2. The tool forecasts coversService by service.
  3. The manager signs offOrder and rota, in minutes.
  4. The order goes out, the rota goes upNothing runs out, less goes to waste.

Nothing is ordered until step 3 has happened.

Sound familiar?

If two of these sentences get said in your company, this process is costing you money every week.

How we do it

  1. We start from your history

    Sales dish by dish and hour by hour, purchases, rotas: we read what your till system and your suppliers have already recorded. We cross it with what moves footfall: bookings, day of the week, season, local events, weather. From that we get the expected covers for each service.

  2. The order every morning, the rota every week

    The tool prepares the order product by product, so nothing runs out and less gets thrown away. Every week it proposes a rota matched to expected footfall. And it follows your rules: suppliers, delivery times, minimum staffing, contracts.

  3. The manager signs off, and it's all yours

    Nothing goes to a supplier without their approval: they review, adjust if needed, and sign off. They no longer do the maths. The code, the data and the documentation are yours: you develop it further with nalto or with whoever you like.

The tool doesn't replace the manager: it does the maths, the manager keeps the decision. They're the one who knows there's a function on Saturday or that a given supplier delivers late. And the history stops gathering dust in the till: it becomes a management tool, and it stays in your business.

A rough order of magnitude

€2M turnover × 30% food cost × 7% thrown away, waste cut by half

= about €21,000 a year

€2M × 32% staff cost × 2% of excess hours avoided

= about €12,800 a year

€34,000 saved ÷ €200,000 EBITDA (10% margin)

= EBITDA up by about 17%

An estimate, not a measurement: these are starting assumptions, not a result obtained somewhere else. Swap the numbers for yours — that's exactly where the audit starts.

Where we apply it

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