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Business Metrics Forecasting with Machine Learning

Business Metrics Forecasting with Machine Learning

We build machine-learning forecasting for the metrics that drive your business (demand, revenue, churn, capacity) so you can plan on what’s likely to happen rather than react to what already has.

Microsoft Solutions Partner
Certified in machine learning on Azure
Outcome-based responsibility

About the service

Most reporting shows what has already happened. Forecasting shows what is likely to happen next. We build machine-learning models on Azure ML and Fabric Data Science that predict the metrics that matter to you, grounded in your own history, integrated into your reporting, and explainable enough that the business trusts and acts on them.

The problems you’re wrestling with

Planning based on gut feel or last year’s numbers.

// How we solve it

Data-driven forecasts grounded in your actual history and patterns.

Being caught out by demand, churn or capacity swings.

// How we solve it

Forward-looking models that flag what’s likely to happen in time to act.

Black-box predictions the business won’t trust.

// How we solve it

Explainable models whose drivers you can see and understand.

Forecasts that live in a data-science silo, disconnected from decisions.

// How we solve it

Predictions integrated into your reporting where decisions are made.

What you get

  • Plan on what’s likely

    Forecasts grounded in your own data replace guesswork and stale year-on-year assumptions.

  • Fewer surprises

    Forward-looking signals on demand, churn or capacity give you time to act.

  • Explainable predictions

    Models whose drivers are visible, so the business trusts and uses them.

  • Insight where decisions happen

    Forecasts land inside the reports your teams already use.

  • Better resource decisions

    Anticipating change means smarter planning of stock, staff and spend.

  • Plan ahead with better forecasts.

    Let’s talk
// Trusted by

Proof, not promises

All case studies
Dawid Detko, Chief Commercial Officer at Onex Group

Dawid Detko

Chief Commercial Officer

Let’s talk about Business Metrics Forecasting with Machine Learning.

Book a free consultation: an hour with an architect, no obligation, and a plan you can act on.

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Frequently asked questions

Most quantitative business metrics with enough history: demand, sales, revenue, churn, capacity and similar. We’ll assess data suitability during discovery.

It varies by metric and pattern, but generally the more relevant history the better. We’ll tell you honestly during discovery whether your data can support a reliable forecast.

Yes, we favour explainable models and surface the main drivers, because a forecast no one trusts is a forecast no one uses.

Integrated into your existing reporting, typically Power BI, so predictions sit alongside the actuals where decisions get made.

Microsoft Solutions Partner

Let’s talk about your project

Our friendly team would love to hear from you. Whether you know exactly what you need or you’re just exploring what’s possible, we’ll give you a straight, practical view.