Models that ship into the workflow, not into a slide deck
Segmentation, forecasting and churn prediction delivered as something your team uses on a Tuesday. Monitored for drift and retrained on a schedule, not left to rot in a notebook.
Any of these sound familiar?
"We know churn is a problem but not who's churning"
You have the outcome in your data but no signal on it early enough to act.
"Forecasting is a spreadsheet someone updates"
Planning runs on a manual model whose assumptions nobody has revisited in two years.
"Every customer gets the same treatment"
No segmentation, so effort and budget spread evenly across accounts with very different value.
"We ran a model once, in a notebook"
It worked, nobody productionised it, and it has been quietly going stale ever since.
From question to running model
Customer segmentation
Behavioural cohorts derived from how people actually use your product, not just who they are on paper.
Churn and propensity
Scored accounts with the drivers exposed, so the output tells someone what to do rather than just how worried to be.
Demand and revenue forecasting
Seasonality-aware forecasts with confidence intervals, backtested against your own history before anyone relies on them.
Anomaly detection
Automated flags when a metric moves outside its expected range, so you find out on the day rather than at month end.
Feature pipelines
Model inputs computed on schedule in the warehouse, so scoring never depends on someone opening a notebook.
Monitoring and retraining
Drift tracking and an agreed retraining cadence, because an unwatched model degrades quietly and expensively.
Tools we reach for
We start with the simplest thing that could work. A well-chosen heuristic often beats a model, and it is cheaper to run.
A typical engagement
- Weeks 1–2
Feasibility
Data availability and label quality, and an honest answer on whether a model will actually help here.
- Weeks 3–6
Build
Baseline first, then iterate. Every model measured against the simple rule it would replace.
- Weeks 7–8
Deploy and monitor
Scoring pipeline, delivery into the tools your team already opens, and drift dashboards.