Bid Engine
Layer 15. Portfolio learning and model evolution

Calibration curve

Layer 15 · Pursuit and Win Bank

Predicted outcomes against actual outcomes, used to retune the scoring model.

What it holds

  • Predicted score against achieved score for every decided bid.
  • Bias by signal, showing which inputs over-predict.
  • Model version history and the change made at each tune.

Used for

Keeping the bid and no-bid recommendation honest over time.

Feeds

Layer 8 bid engine scoring.

Sources. Outcome dashboard · Debrief records

Also in this layer

2 products
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