The Price Change Impact Simulation helps you understand how different pricing decisions affect your business. This feature enables you to assess the impact on units sold, revenue, profit, and margin before making a decision.
What does the Simulation do?
- Compares multiple pricing scenarios side by side.
- Shows both short-term impact (next 2 weeks) and longer-term projections (up to 56 weeks).
- Lets you replace the system recommendation with your own tested price (via Manual Override) to see how it performs.
- Helps you make data-driven decisions, backed by forecasts and demand elasticity.
Things to Keep in Mind
- Simulation only works for SKUs where forecast and elasticity data is available.
- The Profit Optimization and Revenue Maximization price points are calculated using a mathematical model based on the observed relationship between price and demand. These prices are generated directly from the demand curve and are not restricted by predefined pricing limits.
- Because no explicit price boundaries are applied, the model may sometimes suggest relatively high prices for profit or revenue optimization. These outputs are designed to illustrate how a price influences financial outcomes, rather than to serve as a direct pricing recommendation.
- The simulation is intended to highlight trends and sensitivities - showing how changes in price may impact profit and revenue - so users can better understand the trade-offs involved in pricing decisions.
- In some cases, the suggested price may appear counter - intuitive (for example, less attractive than the current baseline). This typically reflects limitations in the available data or real-world business constraints that are not fully captured by the model.
Where to Find the Simulation
The simulation appears on the Product Description Page (PDP) for all SKUs.
- If full data (forecast + elasticity) is available, the widget shows complete tables and charts.
- If only partial or no data is available, the widget still appears and clearly marks unavailable metrics (e.g., units, revenue, profit, margin) as N/A.
What You’ll See
- Scenario Comparison showing 4 scenarios:
- Do nothing - keep current price.
- Accept Recommendation - the system’s suggested price (or your manual override if entered).
- Theoretical Profit Optimizing price - balance sales volume and margin to maximize profit.
- Theoretical Revenue Maximizing price - sell more units and maximize revenue.
- Graphs & simulation options
- Impact graph - quickly visualize the difference in units, revenue, and profit between the scenarios
- Datepicker options - check results for one, two or four weeks in the future
- For each scenario the table columns show:
- Price
- Margin
- Units predicted to be sold
- Revenue
- Profit
- Aggregated View (for multiple SKUs)
- Roll-up of units, revenue, profit across products or virtual channels.
- If some SKUs have missing data, this is clearly indicated.
How to Use the Simulation
- Review the baseline - start with the “do nothing” scenario.
- Compare recommendations - check the system’s suggested price.
- Test your own price - use the override option to enter a custom price, which will replace the recommendation and update the simulation.
- Make your decision - choose whether to:
- Accept the system recommendation,
- Use your manual override, or
- Apply insights to build a broader pricing strategy for similar SKUs.
Why It Matters
With the Price Change Impact Simulation, you can:
- Make pricing decisions with higher confidence of the results.
- Balance between revenue growth and profit optimization.
- Move from reactive pricing to data-driven strategy building.
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