CaneFlow is an autonomous AI that coordinates harvest pickups, optimizes transport routes, and manages mill deliveries across South Africa's R24 billion sugarcane supply chain.
Right now, a handful of experienced dispatchers coordinate the movement of millions of tons of sugarcane from field to mill. Routes are planned from memory. Schedules live in spreadsheets. When a dispatcher retires, decades of institutional knowledge walk out the door.
Small-scale growers, the backbone of KZN's cane belt, lose the most. They wait longest for pickups, get the worst route priority, and have no visibility into when their cane will be processed.
CaneFlow monitors crop readiness signals, weather forecasts, and mill capacity in real time. It generates harvest pickup schedules without human input, balancing grower fairness with transport efficiency.
Every route is optimized for fuel cost, road conditions, and load weight. The system learns from every trip and adapts to seasonal road changes across KZN.
Real-time capacity tracking across all 12 mills. CaneFlow routes deliveries to reduce queue times and maximize processing throughput, cutting waste from delayed cane.
Every grower gets a live dashboard showing their scheduled pickup, estimated processing time, and payment status. No more calling the depot to ask where your truck is.
South Africa's sugarcane corridor is our starting point, not our ceiling. The same coordination problems exist across every agricultural commodity in Africa: timber, grain, fruit, livestock. CaneFlow's AI learns the patterns of one supply chain and applies them to the next.