Retail
Promo Optimization
The business problem and approach
Developed a promo optimization model for retailers that calculates optimal promotions and timing across product categories by analyzing cost, vendor funding, budgets, and constraints. The model maximizes retailer goals like sales and profitability, delivering actionable recommendations in an intuitive calendar format to enhance decision-making and resource allocation.
Implementation highlights
Modeled promo effectiveness considering costs, vendor funding, and budget constraints, Optimized promotion timing and category-level strategies for maximum impact
Delivery and outcomes
22% ROI increase through optimized budgeting and timing
Technologies used
- Python
- Optimization Modeling
- SQL
- Data Visualization
- Retail Analytics
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