AI on the Offense: Preventing the Top 5 Freight Risks at the Source

Shippers and 3PLs are grappling with rising threats — from cargo theft and freight fraud driven by bad actors to ongoing operational risks like load damage and product spoilage — all of which take a toll on the bottom line.

As supply chains scale and diversify, traditional detection methods can't keep pace. Enter artificial intelligence (AI). Not as a buzzword but as a frontline ally in a growing arms race against freight risk.

“As the logistics landscape grows more complex, we’re seeing AI not just as a tool but as a strategic shield against emerging threats,” said Jonathan Ryan, Chief Product & Technology Officer at Overhaul.

Strategies for Reducing Cargo Theft with Automated Risk Management

It’s no secret that cargo theft is a growing problem across North America, with incidents increasing by 27% in 2024 alone, leading to nearly $455 million in reported losses. Organized crime groups are becoming more sophisticated, using identity theft, double-brokering schemes and fictitious pickups to steal high-value shipments. The best way to combat this is for Shippers and 3PLs to implement automated risk management solutions that enhance security, improve visibility and mitigate financial losses.