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Pricing Decision Lite — Robust Price Selection Under Uncertainty

Most pricing tools give you one “optimal” price.
This demo asks a more practical question: will that price still hold up when assumptions change?

Pricing Decision Lite compares upside and downside, then gives a clear outcome: OPTIMIZE, HOLD, or NO-GO.

Try the live demo

What you can do in ~30 seconds

  1. Choose a data mode (synthetic or observational-style workflow)
  2. Review profit distributions across candidate prices
  3. Compare the naïve optimum vs the robust governed recommendation
  4. Inspect downside risk (for example, low-quantile profit) and final decision status:
  5. OPTIMIZE — deploy a robust price
  6. HOLD — signal is weak or fragile
  7. NO-GO — no price passes governance criteria

Why this matters

  • The expected-profit-maximizing price can be fragile.
  • Risk-aware governance often changes the final recommendation.
  • Pricing is regime-dependent: clean synthetic assumptions and noisy observational settings can lead to very different conclusions.

This app is built for decision quality under uncertainty, not just point-estimate optimization.

Decision logic (high level)

```mermaid flowchart TD A[Inputs: price grid, cost, demand model] --> B[Bootstrap uncertainty
elasticity + demand] B --> C[Profit distribution per price] C --> D{Governance checks
downside quantiles + thresholds} D -->|Pass| E[OPTIMIZE
choose robust price] D -->|Borderline| F[HOLD] D -->|Fail| G[NO-GO]