AI Solutions

Predictive Analytics

Forecasts for churn, demand and revenue that come with an honest confidence interval.

Outcome: Forecasts accurate enough to plan stock, staffing or spend against.

What we usually find

Planning runs on last year plus a percentage. Nobody knows which customers are about to leave until the renewal date passes.

What the work covers

Scope is agreed in writing before anything starts. If a line here is not relevant to you, it comes out of the plan and out of the price.

  • Data readiness review before any modelling starts
  • Baseline model first, so complexity has to earn its place
  • Backtesting against historical periods you can check
  • Drift monitoring with retraining triggers
  • Output delivered into the tool the decision is made in

Typical tooling

Indicative, not fixed. The stack follows your constraints and your team, not our habits.

  • Python
  • scikit-learn
  • Prophet
  • BigQuery
  • Looker Studio

More in AI Solutions

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Need Predictive Analytics?

Bring us the problem rather than a spec. We will tell you what it takes, what it costs, and what we would leave out.