Decisions from data you already have.
RP turns a business's own operational or transaction data into decisions — what happened, why, what's happening now, what will happen, and what to do about it. Start from live data or a plain Excel export.
No integration required to start — an Excel export is enough
The problem
You learn what happened a month too late.
Most SMEs sit on transaction data they can't use: they find out what happened at month-end, can't explain why a number moved, and have no forecast or churn signal until it's too late to act on it.
Enterprise BI and ML tooling assumes a data team and an integration budget most local businesses don't have.
What we deliver
Six questions, in order — not just a dashboard.
Every engagement climbs the same ladder: what happened, why, what's happening now, what will happen, and what to do about it — ending in actions, not just charts.
Descriptive & diagnostic
Daily/monthly sales, top products, geographic breakdown, and revenue-driver decomposition — what moved, and why.
Real-time & predictive
Anomaly detection so a bad week is visible in the week it happens, plus demand forecasting and churn prediction.
Model transparency
Every predictive model ships with a health scorecard — accuracy, ROC-AUC, precision, recall, an explicit overfitting verdict. No black-box numbers.
Prescriptive & segmentation
A ranked list of recommendations, plus RFM segmentation, cohort retention, and market-basket analysis.
Scope
Works from whatever data you already have.
- Excel-first ingestion
- A standard sales export is enough to start — no integration work required.
- Live RP data, if you have it
- For an RP deployment, the same pipelines run against live operational data.
- No separate BI subscription
- Analytics on your own data, without a recurring tool bill on top of the engagement.
Every forecast ships with its own scorecard.
Accuracy, ROC-AUC, precision, recall, and an explicit overfitting verdict — so you know how much to trust a number before you act on it, not after.