Beyond Cargo: Protecting Drivers, Assets, and the Bottom Line with AI
Skyrocketing cargo theft losses are forcing logistics companies to rethink security with machine learning technology
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Key takeaways
Skyrocketing cargo theft losses are forcing logistics companies to rethink security with machine learning technology
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In the first half of 2024, cargo theft in the United States surged by 49% compared to the same period in 2023, with an average loss per incident of $115,230, according to an August 2024 report by Overhaul. Freight hubs and urban centers like California and Texas remain hot spots, exposing long-standing gaps in supply chain security.
Globally, cargo theft continues to pose significant challenges. In the Europe, Middle East, and Africa (EMEA) region, reported cargo thefts resulted in losses averaging €988K every 24 hours during the first half of 2023, totaling approximately €179 million over six months, according to TAPA EMEA.
But the challenges don't stop at stolen goods. Drivers, security personnel, and employees are navigating increasing risks, from hijackings and access breaches to physical assaults. These incidents don't just disrupt supply chains—they hurt revenue, operations, and public trust.
In this episode of Innovation Obsessed, Joanna Small sits down with Patrick Welsh, GM of Americas at Oosto, and Chris Torrence, Chief Strategy Officer at Optym, to explore how artificial intelligence is transforming safety in the logistics, trucking, and transportation industry. From safeguarding drivers and cargo to ensuring ethical AI practices, the conversation offers practical strategies for improvement.
The Hidden Toll of Cargo Theft
While the rise in cargo theft grabs headlines, Patrick Welsh emphasizes the human cost of these incidents. "Protecting the driver is just as critical as protecting the cargo. Drivers face threats like trailer tampering, hijackings, and physical assaults—all of which disrupt operations and put lives at risk," he explains. Incidents result in rising insurance costs, operational downtime, and reputational damage.
Protecting the driver is just as critical as protecting the cargo. Drivers face threats like trailer tampering, hijackings, and physical assaults—all of which disrupt operations and put lives at risk.
— Patrick Welsh, GM of Americas at Oosto
Empowering the Workforce with AI
Employees on the front lines are critical to safety, from drivers navigating dangerous routes to guards securing large facilities. AI supports, not replaces, this workforce. "Good AI gives data to the human that's making the decision," Welsh explains.
For example, a single guard monitoring a 100,000-square-foot facility can leverage AI insights to work more effectively. Welsh adds, "Innovation isn't just about securing goods—it's about creating an environment where people feel safe and supported while doing their jobs."
From Reactive to Proactive Safety
Shifting from reactive to proactive security and safety protocols reshapes how transportation approaches and succeeds in protection. AI's ability to analyze vast amounts of data in real time turns legacy systems into predictive tools that flag risks before they escalate.
Welsh highlights how edge devices are playing a critical role in this evolution. "We've spent years innovating AI at the edge, enabling us to deploy powerful capabilities directly on buses, trains, and other transit systems," he explains. "For example, a Jetson device on a bus can provide real-time protection for both passengers and drivers by detecting threats like tailing vehicles or unauthorized access." By processing data locally, edge devices help to reduce response times and provide actionable insights on the move.
"We're moving beyond responding to problems and into a space where we can prevent them altogether," Chris Torrence explains. Whether it's identifying potential cargo theft, detecting unauthorized perimeter access, or enhancing employee safety, proactive measures are becoming the new standard.
We're moving beyond responding to problems and into a space where we can prevent them altogether.
— Chris Torrence, Chief Strategy Officer at Optym
Ethics at the Core of Innovation
The benefits of AI must be balanced with responsible deployment. Torrence stresses the importance of governance and trust. "Good AI isn't just about solving today's problems—it's about ensuring the technology is applied in ways that protect people, respect privacy, and align with long-term goals," he explains.
Aligning Safety with Business Priorities
AI-driven solutions enhance safety while delivering measurable business benefits. Preventing theft, optimizing routes, and reducing disruptions directly impact profitability. "Innovation isn't a luxury; it's a necessity for survival in today's landscape," Torrence notes.
Why Listen?
This episode dives into actionable insights for protecting what matters most: your people, your assets, and your reputation. Learn how AI is helping industries like transportation and logistics navigate high-stakes environments with greater confidence and precision.
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