Fleet Operators Have More Data Than Ever. Execution Remains the Hard Part

Fleet operators are collecting unprecedented volumes of telematics data, yet many still struggle to convert visibility into operational improvements. GPS tracking, fuel monitoring, maintenance alerts, driver behavior analytics, and route intelligence provide a detailed view of fleet performance. The challenge is no longer access to information. It is deciding what to do with it.

As fleets face pressure to improve efficiency while controlling costs, operators are balancing competing priorities around maintenance, visibility, digital transformation, and operational risk. The tradeoffs are becoming more difficult as transportation networks grow more complex and organizations rely on multiple disconnected technology platforms.

The Hidden Cost of Fragmented Fleet Systems

Many fleet operators continue to rely on a combination of legacy software, standalone telematics platforms, spreadsheets, and aging hardware. While maintaining existing systems may appear less disruptive than undertaking a major technology migration, the long-term cost can be significant.

Maryia Filimanchuk, Head of Wialon Innovation and Strategy Hub at Gurtam, explained the challenge in written responses to The Supply Chainer.

"The biggest trade-off in fleet operations is usually relying on several software solutions, often outdated ones, with data scattered across them and legacy hardware underneath. That fragmentation might feel customary, while the alternative might look daunting. Migration means genuine pain, time, and cost, plus unpredictable operational disruption. But putting it off is the more dangerous option."

The operational consequences extend beyond technology management. Disconnected systems limit visibility across fleet operations, create inconsistencies in reporting, and make it harder for organizations to identify opportunities to improve utilization, reduce fuel consumption, or prevent maintenance issues before they occur.

According to a 2025 survey by the American Transportation Research Institute, fleet operators ranked technology integration and data interoperability among the leading barriers to operational efficiency improvement, particularly for organizations operating mixed fleets across multiple regions.

Visibility Does Not Automatically Create Action

The telematics industry has largely solved the problem of data collection. Modern fleets can monitor vehicle location, driver behavior, fuel usage, engine diagnostics, and maintenance status in real time.

Yet organizations frequently struggle to turn those insights into operational decisions.

Filimanchuk argued that the problem is often organizational rather than technical.

"Today, telematics data is so robust and abundant that it should be more than sufficient for decision-making. Yet there is a gap between a data stream and a specific decision owned by a specific person."

The issue becomes most visible when fleets receive large volumes of information but lack clear processes for acting on it. Without measurable objectives, operators struggle to determine which metrics matter. Without effective filtering, managers receive more reports than they can realistically review. Without ownership, critical decisions remain unresolved because responsibility is unclear. As a result, fleets may invest heavily in visibility tools while seeing only limited operational improvements.

Maryia Filimanchuk, Head of Wialon Innovation and Strategy Hub at Gurtam, said fragmented systems and unclear ownership often prevent fleet operators from turning telematics data into operational action.

From Data Collection to Operational Execution

Industry observers increasingly view execution as the next competitive battleground for fleet technology.

In a previous interview with The Supply Chainer, Spencer Penn, CEO and co-founder of LightSource, described a similar challenge facing procurement organizations. "The biggest challenge we're seeing is the unpredictability of policy changes, which makes long-term planning nearly impossible," Penn said. The broader lesson extends beyond procurement: organizations often possess the information needed to act but lack the operational structures required to respond quickly when conditions change.

Fleet operations face a similar reality. Data creates value only when it reaches the right people, can be trusted, and triggers a clearly defined action.

Filimanchuk identified three requirements for effective execution: reliable delivery of data into operational systems such as ERP and transportation management platforms, confidence in data accuracy, and consistency across devices and vendors. At the same time, organizations need clear KPIs, focused exception management, and defined ownership for operational decisions.

Fleets that successfully combine those elements are increasingly moving beyond passive visibility toward proactive operations, including predictive maintenance, route optimization, and AI-supported risk prevention.

As transportation networks become more connected and data volumes continue to grow, the competitive advantage may no longer belong to the fleets with the most information. It may belong to those that can act on it fastest and most consistently.