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Comparing Scenarios

All overlays share the same baseline forecast — the ML-generated prediction with no adjustments. Each overlay layers its changes on top of that shared baseline, and every block's results are tagged with its scenario name. Differences between scenario-tagged results are therefore attributable entirely to the overlay assumptions carrying that tag.

Comparisons let you answer questions like:

  • "How does the Premium Merch overlay change gross margin versus baseline?"
  • "What is the revenue range between our Upside and Downside assumption sets?"
  • "Which assumption set drives the biggest swing in operating profit?"

You can explore these comparisons in charts and tables on the canvas, or ask the assistant directly — e.g., "compare this overlay to baseline."

Current limitation: scenarios are not attached to Forecast Versions, and a forecast run does not fan out per scenario. Comparison works through overlay runs whose blocks are tagged with scenario names — the overlay is the unit that runs; the scenario is the label you group results by.