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ServicesAI

You know what will sell. You order just what you need.

Sales forecasting

You know what will sell. You order just what you need.

Demand forecasts by product for the coming weeks, from your own sales, with the weather, holidays and promotions. From them, the week’s order or production, ready for your approval.

Tell us about yours

The weather warms. Demand rises.

Each glass is one day of the next two weeks for Τροκάνι’s strained yoghurt. Add a heatwave, a holiday or a promotion.

What is coming

The forecast

Heatwave from Tuesday5 days, +18% over the week

Fourteen tall glass cylinders in a row on a pale stone ledge, a shaft of sun on the wall behind, one for each day. The water level in each is that day’s demand.

A Noria study. Illustrative data. Computed on your device in 1 ms.

The forecast becomes an order.

Every week the production arrives ready, product by product. You approve it.

WhyHeatwave from Tuesday

A Noria study. Illustrative data.

An upright clear pane of glass on two metal feet, on a stone counter, before a pale wall. On the glass, the week’s proposed production.

Proposed production, 14 to 20 July

  • Strained yoghurt 200 g321 cases+19% on a usual week
  • Strained yoghurt 1 kg238 cases+16% on a usual week
  • Strained yoghurt 5 kg204 tubs+19% on a usual week

A Noria study. Illustrative data.

Before the shelf empties. Before the warehouse fills.

A forecast does not guess the future. It tells you early what is coming, so the order is just what is needed.

What we deliver

On a limestone table: a bundle of papers tied with string, three glasses of water with titanium rings, a calendar sheet with a brass marker, cards with a pen, a brass whistle on a blue cord and a calliper on a rule.

  • Your data in one place

    Sales from the ERP, the online shop and spreadsheets, gathered by product and day.

  • A forecast by product

    For the coming weeks, with its range.

  • The calendar it reads

    Holidays, weather and promotions, inside the forecast.

  • The proposed order

    Or the production plan, ready for your approval.

  • Stock warnings

    Before a product runs out or piles up in the warehouse.

  • A weekly measure

    The forecast beside what happened, so you see how close it comes.

First beside you. Then ahead of you.

At first the forecast runs beside the way you order today. It takes the lead once it has shown it comes close.

  1. 01

    The data

    We gather your sales and see what is missing.

  2. 02

    A first forecast

    We forecast months you already know and compare it with what happened.

  3. 03

    Beside today’s order

    For a few weeks you see both.

  4. 04

    The order, with approval

    The proposal arrives ready. You approve or change it.

  5. 05

    Measure and improve

    Every week, the forecast beside the sales.

Before you trust a forecast.

Your sales by product and day, ideally two years of them, from your ERP, tills, online shop or spreadsheets. With them, the calendar of your holidays and promotions and the weather forecast. It works with less history too, with a wider range.

No forecast is certain, so every number comes with its range. Before you trust it, we forecast months you already know as if we had not seen them, and show you how far off it was, product by product. After that we measure it every week.

It depends on how clean the data is and what has to be connected. We agree the timeline in writing before we start.

Yes. It reads from your ERP, online shop or files and writes the proposed order back where you want it. Your systems do not change.

You do. The system prepares the proposal and shows why; you approve, change or reject it.

Yes, if you sell the same products again and again and demand goes up and down: a bakery, a dairy, a shop, a wholesaler. A sales history is enough.

You see it the same week, because every forecast is set beside what happened. If the gap has a cause, such as a promotion that was not in the calendar, we add it. And since the order always passes through you, a mistake stops before it reaches the supplier.

Goes well with

For which industries

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