Operopsy

use case

Pricing normalization analysis

Identify inconsistent pricing that creates exposure and needs controlled updated data.

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The issue

Pricing drift can create exposure when similar SKUs sell at inconsistent prices or discount levels.

What Operopsy does

Operopsy recommends a scoped pricing action and measurement metric rather than a broad repricing dashboard.

Measurement input

Compare revenue, units, discount, and margin for the normalized SKU group after the change.

Operopsy separates money at risk, potential recovery, and captured value so estimated exposure is not presented as confirmed impact.

  • Money at risk is estimated potential exposure.
  • Potential recovery is scoped value if the action works.
  • Captured value is measured only after updated data.

Limitations

Pricing anomalies are not automatically losses; Operopsy labels the value as money at risk until updated data confirms captured impact.

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