Historical forecasts

Historical forecasts are archived predictions that show what your organisation previously expected would happen. They reveal how your understanding has changed over time.

We use historical forecasts to help apps compare past expectations with actual outcomes. This allows agentic apps to learn pattern shifts, detect bias and refine future predictions. It builds a memory of how your business has behaved and where forecasts tend to drift.

You gain visibility into accuracy, performance and evolution. Tracking forecast history makes your decision making smarter and exposes blind spots.

Historical forecasts appear through:

• Month-over-month forecast accuracy analysis
• Trend improvement or deterioration signals
• Automatic adjustments when patterns shift

Historical forecasts help your apps learn from the past so they can predict the future more intelligently.