AI startup GrainFlow targets grain elevator bottlenecks with smart scheduling

Canadian agtech startup GrainFlow is developing an AI-powered scheduling and yard management system designed to reduce truck congestion and long wait times at grain elevators across North America. The company, founded by Bryan Wattie, aims to modernize a grain logistics system that still relies heavily on phone calls, spreadsheets and manual coordination, according to information published by AgFunderNews.

The platform combines computer vision, real-time queue monitoring and predictive scheduling to help grain facilities manage inbound truck traffic more efficiently. GrainFlow is already preparing pilot deployments in both Canada and the United States ahead of the 2026 harvest season.

Wattie said the idea emerged after seeing a farmer complain online about arriving on time to a grain elevator appointment only to find nearly 20 trucks already waiting in line.

“Every truck that waits an extra hour in the morning is a truck that can't make a second trip that afternoon,” Wattie said, according to AgFunderNews. “Multiply that across a fleet and you're losing real loads, real revenue.”

The company argues that the current system creates operational inefficiencies for both farmers and grain handlers. In many facilities, deliveries are still managed manually, with no digital sequencing or dynamic scheduling based on real-time demand.

GrainFlow’s first product uses AI-enabled cameras to detect truck queues, estimate waiting times and provide live congestion updates. Farmers and truck drivers can then reserve delivery slots digitally instead of coordinating through phone calls.

The system is designed to automatically recommend schedule adjustments when congestion increases. For example, if AI detects that wait times are rising sharply at a specific unloading lane, the platform can suggest delaying departures or shifting appointments to avoid traffic peaks.

According to Wattie, the broader goal is to build a capacity-aware logistics platform capable of integrating delivery scheduling, grain contracts, inventory management and predictive analytics into a single operational system.

The startup also sees potential applications beyond grain elevators. GrainFlow believes the technology could help manage logistics at crush plants, ethanol facilities, fertilizer terminals and agricultural input centers, where seasonal bottlenecks often generate costly delays.

The company is additionally exploring predictive maintenance tools powered by AI. These systems could identify operational problems before failures occur, such as unstable sampling equipment or reduced throughput caused by debris accumulation in unloading systems.

Commercially, GrainFlow remains in an early stage. The startup is currently participating in Saskatchewan’s Cultivator accelerator program and preparing a pre-seed funding round.

However, the company has already secured two pilot projects with a major grain industry player. The pilots will involve one grain elevator and one end-user processing facility located in Canada and the United States.

According to GrainFlow, the business case for grain handlers includes higher facility throughput, reduced labor costs, lower waiting times, improved operational visibility and better predictive maintenance capabilities.

Wattie believes the agriculture sector needs software specifically designed for the realities of grain logistics instead of adapting generic warehouse scheduling systems.

“I’ve worked with computer vision models for the past 15,16 years and authored patents in that space,” he said, according to AgFunderNews. “And I think this is a really novel application of it.”

The startup argues that improving logistics efficiency during harvest season could have a significant economic impact, especially in regions where grain transportation volumes create recurring congestion at peak hours.

As North American agriculture increasingly adopts AI, automation and precision logistics, GrainFlow is positioning itself as part of a broader push to digitize grain supply chains and reduce operational inefficiencies in the sector.