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See what’s coming, before it does.

We use what already happened in your business to forecast what is likely next, so you can plan ahead instead of reacting late.

Your data, your modelsWorking pilot in weeksHuman-in-the-loopOwned by you
Demand & sales forecastsChurn warningsRight-sized stockPlain-English reasons
Built around your tools, owned by you
The approach

Stop guessing. Start planning.

Most businesses make big calls, how much to stock, who to chase, what next month looks like, on gut feel and last year's spreadsheet. Your data can do better. We use your history to build forecasts that tell you what is likely to happen next, and how confident we are.

Crucially, every prediction comes with a plain-English reason, so it is a tool you can act on, not a mysterious number. You own the models and the logic behind them.

Quick answers

How far ahead can it predict?

From next week to next quarter, depending on your data. We are honest about how confident each forecast is.

Do we need huge amounts of data?

Not always. We work with what you have and tell you straight if more is needed for a reliable result.

Will we understand it?

Yes. Every prediction comes with the main reasons behind it, in plain words.

What's included

What sharper forecasts unlock.

Demand & sales forecasts

Know what you are likely to sell, so you can staff and stock for it.

Churn warnings

Spot customers who look likely to leave while there is still time to act.

Right-sized inventory

Order the right amount, not too much that ties up cash, not too little that loses sales.

Reasons you can trust

Each forecast explains, in plain English, what is driving it.

Tools & tech

Proven modelling, made practical.

We are model-agnostic and pick the right tool for the job, keeping your data private throughout.

Modelling

ProphetXGBoostscikit-learnPyTorch

Data & features

SnowflakepandasFeature store

Serving & safety

APIsDashboardsPrivate deployment
Try it

What is a sharper forecast worth?

Drag the sliders for a rough figure. Your audit replaces these with exact numbers.

Your estimate
$0
recovered per year with sharper forecasts
$0
lost / month now
$0
recovered / month
Get my exact numbers

Assumes better forecasting recovers part of what is lost to bad stock and demand calls. Illustrative only.

How we work

From history to a head start.

A fixed, momentum-first path, so you always know what is happening and why.

Book an AI audit
01

Look back

We study your history to find the patterns that matter.

02

Model

We build and test forecasts against what really happened.

03

Explain

We make sure every prediction comes with a clear reason.

04

Put to work

Forecasts land where you plan, and you own the models.

Who it's for

Who plans better with it.

Retail & stock

Forecast demand and keep shelves right, not over- or under-stocked.

Subscriptions

Catch likely cancellations early and keep more customers.

Finance & cash flow

See the months ahead clearly enough to plan with confidence.

Operations

Plan staffing and capacity around what is actually coming.

Why it pays

The cost of a bad guess adds up.

Over-ordering ties up cash; under-ordering loses sales; a surprise cancellation costs more than keeping a customer. Sharper forecasts quietly recover money you are losing today.

  • Forecast demand, sales, and cash flow
  • Flag customers who may be about to leave
  • Order the right amount, every time
  • A clear reason behind every prediction
Abstract teal hub-and-spoke network with the Predictive Analytics & Forecasting icon at its centre, by Rhino Automations
FAQ

Predictive Analytics & Forecasting: your questions

How accurate are the forecasts?
As accurate as your data allows, and we always show how confident each one is rather than pretending to be certain.
What data do you need?
Usually your past sales, customer, or operations history. We will tell you up front if it is enough.
Can it plug into our planning tools?
Yes. Forecasts can flow into the dashboards and systems your team already uses.
Who owns the models?
You do, along with the logic and documentation behind them.
How long does it take?
A first useful forecast is typically a few weeks after we have your data.
Get started

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Describe the job that wastes the most time. We'll say honestly whether AI can fix it, and what it would take.

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