AI automation for logistics.

Logistics is a high-volume, thin-margin, document-heavy business, which is exactly where automation pays. The US trucking industry alone generated $906 billion in revenue in 2024, down from USD 1.004 trillion in 2023, per the American Trucking Associations. (American Trucking Associations, American Trucking Trends 2025) Freight is the connective tissue of the economy, and it still moves on faxes, PDFs, phone calls, and rekeyed data.

Canada's transportation and warehousing sector directly contributed CAD $96.5 billion to the economy in 2024, about 4.3 percent of GDP. (Transport Canada, Transportation in Canada 2024: The role of Canada's transportation network) Trucks carry a large share of the country's international merchandise trade by value. Yet only 1.8% of Canadian transportation and warehousing businesses reported using AI to produce goods or deliver services in the second quarter of 2025, among the lowest of any industry. (Statistics Canada, Analysis on artificial intelligence use by businesses in Canada, second quarter of 2025) The sector that moves the most paper has adopted the least automation.

The operating math is brutal. The average marginal cost of operating a truck was $2.260 per mile in 2024, and non-fuel costs rose to a record USD 1.779 per mile. (American Transportation Research Institute, An Analysis of the Operational Costs of Trucking: 2025 Update) Rates did not keep pace, so margins were squeezed. Meanwhile empty miles averaged 16.7 percent in 2024, and many carriers self-report higher, so a large slice of those costs is incurred hauling air. (American Transportation Research Institute, An Analysis of the Operational Costs of Trucking: 2025 Update)

Detention makes it worse. Truck drivers were detained on 39.3 percent of all stops in 2023, and the industry lost USD 3.6 billion in direct expenses plus USD 11.5 billion in lost productivity to detention that year. (American Transportation Research Institute, Costs and Consequences of Truck Driver Detention) Fleets that bill detention often go unpaid for it. Every one of those problems is a data and follow-up problem before it is a trucking problem.

The back office is just as loaded. Dispatchers and brokers spend most of their day on check calls, status emails, and rate confirmations rather than booking freight, and manually matching a single load eats a meaningful chunk of an hour. Freight invoices are a persistent leak: a meaningful share arrive with errors, concentrated in accessorials like detention, fuel surcharge, and liftgate that are applied inconsistently, and manual audit catches only a fraction of them.

Driver churn compounds the whole thing. Turnover at large truckload carriers has run chronically high for years, so tribal knowledge walks out the door constantly. This is the routine, rules-based work AI is genuinely good at.

Cross-border and safety compliance is the gate, and it is real. Freight moving between Canada and the US touches CBP and the Automated Commercial Environment on the US side and CBSA and the Advanced Commercial Information program on the Canadian side. Trusted-trader programs like C-TPAT and Partners in Protection, and FAST lanes, reduce inspection risk for members. Domestic trucking is governed by FMCSA and DOT hours-of-service rules with the ELD mandate under 49 CFR Part 395, and hazmat moves under the PHMSA and FMCSA hazardous-materials regulations.

We are a Calgary-based agency serving operators across Canada and the US. We build automation that respects both customs regimes and the safety rules from day one, keep a human in the loop on anything that clears customs or moves money, and scale only what works.