ProjectEOL
Demand Analytics
Sales forecast + ProjectEOL weather data → weather adjustment → demand forecast.
We do not turn a public index into your business sales. The model first learns your history, then compares a normal forecast and a weather-aware forecast.
Demand forecast
Baseline and weather-aware scenarios for a specific KPI.
Weather uplift
Difference between expected-weather and climatologically normal-weather predictions.
Measurable value
MAE, WAPE, sMAPE and model comparison on time-series folds.
Capabilities
- Sales, orders, transactions, or units forecasts
- Historical weather sensitivity
- Location and category breakdowns
- API/export for granted access
Data and security
Upload an aggregate CSV: timestamp/date, location_id and a demand target. Do not upload buyer names, email addresses, phones, customer IDs, or other personal data. Files are held in private storage and can be deleted with the project.