Food loss before retail
FAO estimates that 13.3% of food produced is lost from post-harvest up to retail stages.
Sector Playbook
Agriculture & Food Systems AI
Use AI for loss reduction, demand prediction, and logistics orchestration across farm, aggregation, storage, and distribution.
Food waste at consumer level
UNEP reports roughly 19% of food available to consumers is wasted globally.
Planning and visibility gap
Many value-chain actors still rely on manual planning and delayed reporting across nodes.
Current gaps
- Post-harvest quality degradation is detected too late.
- Demand planning errors cause stock-outs and spoilage.
- Cold-chain and transport disruptions lack real-time alerts.
- Procurement and distribution decisions are weakly linked to risk signals.
What your team gets
- Yield + Demand Forecasting: smarter procurement and inventory balancing.
- Cold-Chain Risk Alerts: anomaly detection for temperature and delay events.
- Route and Load Optimizer: reduce spoilage and improve fulfillment reliability.
- Food Loss Intelligence Dashboard: node-level attribution and intervention tracking.
90-Day Delivery Plan
Focus on the crop or commodity corridor with the highest impact potential
Days 1-30
Baseline mapping for loss points, demand volatility, and logistics failure patterns.
Days 31-60
Deploy forecasting and risk-alert workflows in a constrained geography.
Days 61-90
Measure spoilage reduction, service-level gains, and working-capital improvements.
Outcome KPI tracker
- Loss percentage by value-chain stage
- Forecast accuracy (demand and supply)
- On-time delivery and stock-out frequency
- Gross margin recovery from reduced spoilage