AHFRSAHFRS

Forecast with evidence, not fixed assumptions.

AHFRS finds useful history, checks candidate forecast paths, and shows recent validation behind the selected forecast. Your rows, files, forecasts, and outputs stay private to your account.

Useful history foundForecast path selectedRecent validation shownPrivate to your account
Your data
Dates and business signals
Useful history
Relevant windows selected
Forecast evidence
Recent actuals checked
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Finds relevant history
AHFRS segments your series and builds from selected historical windows plus recent data, instead of treating every row as equally useful.
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Selects the forecast path
AHFRS checks candidate forecast paths on your own data and presents the configuration supported by validation evidence.
Shows validation evidence
Every forecast includes recent actual-vs-forecast validation, the history used, and plain quality metrics so you can judge the result.

What AHFRS does with your data

AHFRS checks candidate forecast paths, selects useful history, and shows validation evidence behind the forecast, without asking you to decode the machinery.

It checks candidate forecast paths

Instead of asking you to choose a method upfront, AHFRS evaluates candidate forecast paths on your own data and selects the configuration supported by validation evidence.

Examples include recent-history, full-history, change-point, and adaptive-window approaches.

It checks the forecast against reality

Before you rely on the result, AHFRS shows how the forecast matched recent known values with plain quality metrics.

It keeps the useful context

AHFRS keeps the selected configuration, validation evidence, and compatible metadata for future selection logic where supported. Your uploaded rows, files, forecasts, and outputs stay private to your account.

See it in action: live examples

See what AHFRS finds in your data

Choose a business context, upload your file, and let AHFRS prepare an evidence-backed forecast.

Sign in to upload your data and run predictions

Easy upload
Clear forecast
Validation evidence
No coding needed