Predictive analytics services
Predictive analytics: know what's likely to happen, and act first
Your historical data already shows patterns: which customers drift away, when demand peaks, which accounts pay late. Predictive analytics turns those patterns into early warnings and plans.
Who it's for
- Subscription and SaaS businesses losing customers
- Retail and e-commerce teams planning stock
- Lenders and fintechs managing risk
Examples
What this looks like in practice
Churn prediction
Each week, the customers most likely to leave and the likely reasons.
Demand forecasting
Forecasts by product, store or region, with ranges for planning.
Late payment and credit risk
Scores that help prioritise collections or approvals.
Approach
How we do it
Define the prediction
What exactly is predicted, how far ahead, and what will be done with it.
Learn from history
Models trained and tested on your past data.
Put it to work
Predictions delivered to dashboards, CRM fields or alerts.
Outcome
What you end up with
- Earlier warnings on the events that cost you money
- Forecasts with honest uncertainty
- A repeatable, automated scoring process
Part of our Data Science & Machine Learning service.
FAQ
Questions we're often asked
How accurate will the predictions be?
It depends on your data. We measure accuracy on held-out history and explain it in business terms before you rely on it.
How much history do we need?
Typically one to two years for demand forecasting and a few thousand customer records for churn models.
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Start here
Tell us about your project
A few lines is enough. We reply within one business day with questions or a suggested next step. The first consultation is free.
- We'll tell you honestly whether your data can support the goal
- You get an indicative cost and timeline
- No obligation and no automated sales sequence
Prefer to talk? Book a 30-minute call.