By Shuie Yankelewitz, Chief Product Officer for Central Analysis Bureau at Fusable
May 13, 2026
The U.S. trucking industry is highly dynamic. Motor carriers rapidly enter and exit the market, and hundreds of thousands of trucks are bought and sold each year. Given this level of churn, a fleet’s composition is rarely fixed. However, when fleet operators add vehicles or move assets between entities, the systems designed to track fleet-level change can fall out of sync with the realities of fleet operations. That disconnect means fleets are often unintentionally underreported, misclassified or out of compliance with their insurance coverage.
This poses risks for both insurers and operators. When a vehicle or piece of equipment isn’t properly accounted for in a policy, it can leave motor carriers exposed to denied claims, unexpected costs, or compliance issues. And in many cases, these problems only surface after a loss has occurred, when it is too late to address the coverage gap.
When Fleet Data Falls Behind
Fleet operations are inherently fluid. Demand tends to fluctuate based on seasonal retail peaks and construction cycles. Meanwhile, economic pressures and supply chain volatility can quickly alter freight volumes and capacity needs. As a result, operators are constantly adapting: purchasing or selling vehicles or equipment, rotating assets across jobs and regions and relying on rentals or leased equipment to manage shortfalls in capacity.
Insurance reporting, by contrast, typically follows a fixed cadence. Most commercial vehicle policies are written for annual terms. These policies are based on a snapshot of fleet data at a specific point in time and then updated through periodic audits, endorsements, or self-reported changes. Even in well-managed operations, there is often a lag between what is happening on the ground and what is reflected in the policy.
As fleets become more complex, a small lag can quickly escalate into a larger problem. Multi-entity structures can obscure where assets are assigned, while short-term rentals may not be captured in reporting workflows. None of this implies intentional misrepresentation on the part of a fleet. It is simply a function of a fast-changing operation outpacing the systems designed to track it.
The Hidden Costs of Fleet Churn
Fleet underreporting may not be deliberate, but it can cause major issues downstream. Underwriters and actuaries evaluate factors such as fleet size, vehicle mix and usage patterns to determine the appropriate premiums to charge a motor carrier. If vehicles or equipment are missing or misclassified in insurance policies, it can lead to inaccurate valuations and mispriced premiums. In the insurance industry, this is known as premium leakage. Vehicles that are operating but are not reflected in a policy represent uncollected revenue and unrecognized exposure. Along with distorting pricing and leading to financial losses, premium leakage also contributes to longer-term pricing challenges across the market.
For fleet operators, the risks are more immediate. If a vehicle is not properly listed or classified in a policy, it may not be covered. In the event of a claim, discrepancies between reported and actual fleet data can trigger delays, disputes, or denials. Commercial vehicles are expensive, and if a loss is not covered, operators are left to absorb the out-of-pocket costs. For the smaller motor carriers that make up more than 90% of the industry, even one uncovered loss could have serious ramifications for financial health and cash flow.
Closing Coverage Gaps With Connected Data
Addressing premium leakage requires a shift in how fleets manage their own risk data. Periodic audits and self-reported schedules provide a necessary baseline for tracking fleet turnover, but they don’t necessarily capture the full scope of fleet activity. As fleet managers cycle vehicles and equipment in and out of their fleets, they need to understand how these compositional changes could impact their coverage and overall risk profile.
Practically speaking, this means working from the same data insurers use to evaluate risk. Underwriters rely on a wide range of data points, including vehicle inspection reports, violations, crash data, and driver information, to assess fleet exposure. Solutions like Central Analysis Bureau’s (CAB) MC Advantage, backed by Fusable’s broader data ecosystem, give fleet managers direct access to this intelligence so they can monitor safety performance, track equipment and driver data, and identify potential issues before they arise in underwriting or claims.
With this visibility, fleets can reduce the likelihood of coverage gaps, improve compliance and minimize their risk exposure. This helps to ensure each policy reflects the true size of the fleet it covers, reducing premium leakage for insurers and supporting fairer, more accurate coverage for fleets.
About the author
Shuie Yankelewitz is Central Analysis Bureau’s (CAB) Chief Product Officer at Fusable, a leading provider of data-driven solutions for industrial and infrastructure markets and the financial services ecosystem that supports them.
