Predictive Analytics Engine
The forecasting model that replaced a quarterly spreadsheet exercise with a living, self-updating system.
Forecasts that live in a spreadsheet are already out of date by the time anyone reads them. We replaced that cycle with a machine learning pipeline that retrains itself on a schedule, tracks its own accuracy, and puts predictions directly where the team already works, so the numbers get used instead of filed away.
Challenges we solve
Forecasts lived in spreadsheets
Analysts rebuilt the same model by hand every quarter, and insights arrived too late to act on.
No feedback loop
Predictions were never checked against outcomes, so accuracy drifted silently over time.
Data scattered across systems
Relevant signals sat in three different tools with no shared pipeline to combine them.
What we deliver
Automated training pipeline
Scheduled retraining on fresh data, with versioning and rollback built in.
Model monitoring dashboard
Live accuracy tracking so drift gets caught before it affects decisions.
In-app predictions
Forecasts delivered directly inside the tools the team already uses daily.
Outcomes
Technologies
Related Case Studies
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