With disruptions from geopolitical crises, extreme weather, and a fragmented transport ecosystem, companies need smarter, faster, and more adaptive ways to manage risk. Artificial intelligence (AI) is emerging as a powerful tool to meet this challenge—making insurance more efficient, responsive, and tailored to the complexities of multimodal logistics.
“Logistics is such a diverse ecosystem,” Eyal Goldberg, CEO of Breeze, explains. “You have so many things that have been running the same way for years and years.”
The sheer complexity of connecting sea, air, road, and rail shipments, each with their own risks and processes, means that a blanket AI solution won’t cut it.
“The real impact would be… focusing on specific industries, specific niches, specific pain points, and leverage technology and AI to solve it.”
For example, in Breeze’s case, this means simplifying insurance workflows. What once required entering 30 or 40 data points now can be done with just a few—because AI extracts and fills in the rest automatically.
Goldberg elaborates: “Instead of collecting 30 or 40 data points, it’s enough to collect three or four because the rest can be extracted or taken away.” This reduces manual work and speeds up operations across the board—from quoting and invoicing to underwriting and claims management.
He also foresees a future where users don’t even notice they’re inputting data: “We have some customers that say, how can we actually take those three or four data points and just do it without us even noticing? We just leverage that when we need to leverage that.”
A critical advantage
The need for real-time data has never been greater, with roughly 70 percent of global cargo today is either uninsured or underinsured, a massive vulnerability in a world riddled with uncertainty.
“Regardless of your ability to dive into a specific event, the fact that you can use technology to cover that insurance gap is critical,” he says. But beyond just coverage, speed and adaptability are vital. Different logistics companies operate unique workflows, so insurance solutions must be flexible.
“Your ability, from the insurance perspective, to tailor the right flow and solution to different supply chain flows allows you to offer that insurance without effort and make sure the cargo is covered,” Goldberg explains.
Land transport and fragmented data
While air and sea shipments benefit from well-established tracking systems, land transport remains more complex. Goldberg says, “When you go to land, the claims and damages are more common because there is more handling and exposure.”
Tracking shipments on trucks and haulers is difficult due to the fragmented nature of the industry—many small players, varied routes, and inconsistent data. “There are startups working on cheaper tracking solutions, but putting that on every cargo is still a ways off,” Goldberg notes.
Without consistent, structured data, risk prediction and insurance underwriting for land shipments lag behind those for air and sea. “From risk exposure, your land coverage is not as comprehensive as sea and air,” Goldberg admits. This “jungle” of land logistics presents a key area for technological innovation.
Weather analytics
Climate change and extreme weather events have added new challenges to logistics risk. Goldberg points to major advances in weather prediction: “Our ability to understand weather today is incomparable to what it was 5 or 10 years ago. We can predict further into the future and understand evolving conditions.”
This data is integrated into Breeze’s underwriting and claims models, enabling tailored risk assessments and pricing adjustments. But Goldberg cautions, “You need to do it gradually. Introducing more data into underwriting requires careful testing and learning.”
Customers are increasingly interested in how weather impacts their shipments, and AI-powered insights help guide decisions. This dynamic underwriting approach factors in real-time environmental data to manage premiums and coverage more accurately.
