Solution Description
Surplus Forecasting
- Predicts overproduction risks using:
- Historical yield and production data
- Market demand trends
- Weather and seasonality
- Supply chain disruptions
Root Cause Analysis
- Identifies why surplus occurred:
- Over-harvesting
- Demand-supply mismatch
- Processing inefficiencies
- Contractual overproduction
Redistribution & Secondary Market Matching
- AI recommends:
- Redistribution to food banks, processors, or retailers
- Sales to secondary markets (e.g., bulk buyers, animal feed, composting)
- Localized donation networks to reduce logistics costs
Dynamic Pricing & Liquidation
- Suggests optimal pricing for surplus based on:
- Shelf life
- Market saturation
- Buyer profiles
Sustainability & ESG Reporting
- Tracks:
- Food waste reduction
- Carbon footprint savings
- Social impact of donations
Integration with Supply Chain & Planning Systems
- Feeds surplus insights into production planning tools.
- Helps prevent future overproduction through continuous learning.