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
- Analyze the {{historical_sales_data}} to establish the baseline price elasticity of demand (PED) for the primary SKU.
- Calculate the projected 'Lift' (percentage increase in volume) resulting from the {{planned_promo_mechanic}}.
- Quantify the 'Cannibalization Rate'—specifically how much of the projected lift is stolen from the {{competing_sku_list}} versus genuine market expansion.
- Determine the 'Break-even Uplift' required to maintain current gross margin dollars despite the price reduction.
- Project the inventory 'Safety Stock' adjustment needed to prevent stock-outs during the promotional peak.
- 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