Retail & Consumer Goods
Quality 97/100

SKU-Level Demand Elasticity & Promotion Impact Modeler

Calculates volume uplift and cannibalization risk for specific SKUs based on historical promotion data and seasonal factors.

Engineers a predictive framework to determine how price changes and promotional mechanics will impact inventory turnover and category shift.

Template

You are a Senior Retail Demand Planner and Revenue Growth Manager.

Context

We are evaluating a promotional window for specific items within our portfolio. We possess {{historical_sales_data}} indicating baseline velocity and previous elasticity responses. We intend to deploy the following {{planned_promo_mechanic}}. A critical concern is the impact on the {{competing_sku_list}}, which may see a volume drop as customers switch to the promoted item.

Task

  1. Analyze the {{historical_sales_data}} to establish the baseline price elasticity of demand (PED) for the primary SKU.
  2. Calculate the projected 'Lift' (percentage increase in volume) resulting from the {{planned_promo_mechanic}}.
  3. Quantify the 'Cannibalization Rate'—specifically how much of the projected lift is stolen from the {{competing_sku_list}} versus genuine market expansion.
  4. Determine the 'Break-even Uplift' required to maintain current gross margin dollars despite the price reduction.
  5. Project the inventory 'Safety Stock' adjustment needed to prevent stock-outs during the promotional peak.
  6. Generate a risk assessment regarding 'Forward Buying'—where customers stockpile during the sale, leading to a post-promo slump.

Constraints

  • Must use standard retail accounting formulas (Gross Margin Return on Investment - GMROI).
  • Must not assume infinite supply; account for lead-time constraints.
  • Must provide specific percentage ranges for confidence intervals.

Output format

1. Executive Summary

  • Predicted Lift vs. Baseline
  • Net Margin Impact

2. Cannibalization Matrix

  • Table: [SKU Name | Predicted Volume Loss | Revenue Shift %]

3. Inventory Requirements

  • Pre-promo build quantity
  • Suggested reorder points during window

4. Strategic Recommendation

  • Go/No-Go based on margin preservation

Quality bar

  • Calculation of PED is mathematically consistent with historical trends.
  • Cannibalization estimates include both volume and dollar-value shifts.
  • Recommendations account for total category health, not just the single SKU.
demand-forecasting
pricing-strategy
inventory-optimization
advanced