AI-Powered GrainFlow Revolutionizes Truck Scheduling for Grain Facilities
GrainFlow, an AI-driven platform for grain handling, is transforming how facilities manage truck arrivals and yard operations. The system replaces outdated phone-based scheduling with real-time digital coordination, aiming to cut congestion and improve efficiency.
The company has already secured two pilot projects with a leading grain industry player, testing its technology at sites in Canada and the US. GrainFlow’s core product combines computer vision, automated scheduling, and predictive analytics. Its queue visibility system uses cameras to count trucks, estimate wait times, and display live congestion data. This helps operators adjust workflows and reduce bottlenecks.
Instead of relying on phone calls, farmers and truckers book delivery slots online. The platform also integrates contracts, inventory tracking, and capacity planning tailored to specific commodities. When congestion builds, it automatically suggests rescheduling to smooth out arrivals.
Beyond scheduling, GrainFlow is exploring predictive maintenance to detect equipment issues before they cause downtime. The company is now preparing for a pre-seed funding round while participating in Saskatchewan’s Cultivator accelerator program.
Its target market includes grain elevators, crush plants, ethanol facilities, and fertiliser terminals—any operation struggling with unpredictable truck flows and limited unloading capacity. With two pilot deployments underway, GrainFlow is proving its system in real-world conditions. The platform’s mix of scheduling, computer vision, and predictive tools aims to streamline operations for grain handlers. Further expansion will depend on the success of its upcoming funding round and accelerator participation.
