Data Prediction

Sales, demand and churn forecasts trained on your own historical data — refreshed daily with a confidence range.

About :

Data Prediction is a forecasting service built on top of MADXVISION's internal data pipeline. Historical sales, demand or usage data trains a per-metric model, which is retrained on a schedule as new data lands. Every forecast ships with a confidence band, not a single line, so a decision can account for the uncertainty. Alerts fire when a live number moves outside its expected range, before it ever shows up in a monthly report.

Studio :

MADXVISIONKurdistan / Global

Category :

AI Forecasting · Predictive Models

Year :

2026

Data Prediction icon

Sales, demand and churn forecasts trained on your own historical data — refreshed daily with a confidence range.

Data Prediction is a forecasting service built on top of MADXVISION's internal data pipeline. Historical sales, demand or usage data trains a per-metric model, which is retrained on a schedule as new data lands. Every forecast ships with a confidence band, not a single line, so a decision can account for the uncertainty. Alerts fire when a live number moves outside its expected range, before it ever shows up in a monthly report.

  • Per-metric model trained on the business's own history
  • Scheduled retraining as new data lands
  • Confidence bands on every forecast, not a single line
  • Threshold alerts when live numbers move outside range
  • Sales, demand and churn presets out of the box
  • Forecast export into the same dashboards as Data Analysis
  • Next.js
  • Python
  • Model training
  • Confidence bands
  • Scheduled retrain
  • Alerts
Data Prediction key visual
DailyModel refresh
±Confidence bands
AutoAnomaly alerts
Per-metricModel training
Delivery

What it does

Confidence, not just a guess

Every projection ships with a range, so the risk is visible up front.

Retrains itself

Scheduled jobs keep each model current as new data lands — no manual re-run.

Catches drift early

Alerts fire on deviation the moment it happens, not at month-end review.