Solution Description
Surplus Prediction
- AI forecasts potential overstock at SKU, store, or regional levels.
- Factors in demand trends, seasonality, promotions, and supply chain delays.
Root Cause Analysis
- Identifies why surplus occurred:
- Over-ordering
- Inaccurate demand forecasts
- Failed promotions
- Supply chain inefficiencies
Markdown & Clearance Optimization
- Recommends pricing strategies to maximize recovery:
- Dynamic markdowns
- Bundling
- Flash sales
- AI tests and learns which strategies work best per product and location.
Redistribution & Reallocation
- Suggests moving surplus to stores or regions with higher demand.
- Optimizes logistics to minimize cost and time.
Alternative Monetization
- Identifies opportunities for:
- Donations (for tax benefits and ESG goals)
- Recycling or upcycling
- Secondary markets or B2B liquidation
Sustainability & ESG Tracking
- Measures environmental and social impact of surplus mitigation.
- Tracks metrics like waste reduction, carbon savings, and donation value.