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.