Samsara’s latest deployments suggest that maintenance is evolving beyond repairs and compliance. Asset-heavy operators are increasingly using maintenance data to influence capacity planning, utilization, billing accuracy, and service reliability across entire networks, turning maintenance into a control layer that connects operational and financial performance.
In Brief
- Maintenance is moving from a workshop function to a network-management function that influences uptime, capacity, and cost control.
- Asset health data is increasingly being integrated with telematics, workflows, inspections, and billing systems to improve operational visibility.
- Software-only maintenance deployments at very large fleet scale suggest optimization is becoming less dependent on hardware refresh cycles.
Maintenance Is Becoming a Network Performance Function
For decades, maintenance occupied a relatively narrow role inside most transportation, logistics, and field-service organizations. Vehicles were serviced according to mileage schedules. Equipment was repaired when faults appeared. Maintenance teams focused on compliance, safety, and keeping assets operational.
That model is beginning to change. Rising asset ages, increasing labor costs, and growing pressure to improve utilization are forcing operators to view maintenance differently. Rather than treating maintenance as a cost center, many are starting to use maintenance data as a way to manage broader operational performance. Samsara’s recent customer deployments provide a glimpse into this shift.
The company is positioning maintenance not as a standalone software category but as part of a connected operations platform that combines telematics, inspections, workflows, asset tracking, and operational analytics. In that model, maintenance becomes less about fixing vehicles and more about influencing how assets, people, and capacity move through a network. The result is a subtle but important change: maintenance is emerging as a control layer that helps determine network performance.
Maintenance Is Escaping the Workshop
The economic pressures driving this shift are straightforward. According to Samsara, maintenance typically accounts for approximately 10% of operational budgets among its customers. At the same time, many organizations already spend roughly 80% of revenue on operating expenses.
Meanwhile, assets are remaining in service longer. The average age of light-duty vehicles has increased from 11.5 years to 12.8 years over the past decade. Parts and labor costs have risen 27% since 2020, increasing the financial consequences of both over-maintaining and under-maintaining equipment.
Historically, organizations attempted to manage this challenge using preventive maintenance schedules tied to time or mileage thresholds. That approach is increasingly proving inadequate.
Fixed schedules often result in assets being serviced too early, increasing maintenance costs, or too late, increasing the risk of failures, downtime, and service disruptions. The alternative is condition-based maintenance driven by real-time asset health information. This is the model Samsara is promoting through its Connected Asset Maintenance platform. Instead of relying primarily on calendars and odometers, organizations use fault codes, inspections, telemetry, and operating conditions to determine when maintenance should occur. The significance extends beyond maintenance efficiency. Once asset health becomes continuously visible, it can begin influencing decisions far outside the maintenance department.
Asset Health Is Becoming Operational Infrastructure
One of the more interesting aspects of Samsara’s approach is how maintenance data is being integrated with other operational systems. The platform combines several information streams that historically existed in separate applications:
- Vehicle and equipment telemetry
- Diagnostic fault codes
- Driver and technician inspections
- Work-order management
- Parts inventory
- Vendor management
- Invoice processing
When connected together, these systems create a more comprehensive view of asset performance. The practical implications can be significant. A Canadian grocery chain operating more than 1,600 stores is using the platform to connect fault codes, inspections, preventive maintenance scheduling, vendor management, inventory visibility, and invoice processing within a single environment.
Rather than manually identifying issues and creating work orders, diagnostic information automatically triggers maintenance workflows. This reduces administrative effort, but the larger benefit is visibility. Operations teams can see maintenance activity, equipment condition, service history, and asset readiness through a common operating framework. In this model, maintenance data starts behaving more like operational infrastructure than a maintenance record.
Capacity Planning Now Depends on Asset Health
Perhaps the most significant shift is the growing connection between maintenance and capacity management. In logistics and transportation networks, an unavailable asset is no longer simply a maintenance problem. It is a capacity problem. A refrigerated trailer that cannot move product affects delivery schedules. A truck waiting for repairs reduces available fleet capacity. A critical piece of equipment that fails unexpectedly can delay projects and disrupt revenue generation.
The Canadian grocery deployment illustrates this relationship clearly. Reducing unplanned downtime for tractors, trailers, and refrigerated assets improves more than maintenance metrics. It directly affects product availability, route performance, spoilage risk, and service reliability.
The same logic appears in project-based industries. A global engineering and consulting company with 34,000 employees across North America is using Samsara to connect fleet and asset information to project-level billing and utilization tracking. Asset data is being linked to drivers, projects, business usage, and operational workflows. The company expects operational cost reductions of up to 10% within 18 months. What makes this notable is that maintenance data is influencing financial outcomes as much as operational ones.
The condition, location, and utilization of assets increasingly determine not only how work gets done but also how costs and revenue are allocated. Maintenance therefore becomes part of network governance rather than a standalone operational activity.
Software-Only Maintenance Changes the Economics
One of the most distinctive developments in Samsara’s recent disclosures involves Hertz. The rental-car company selected Samsara for a Connected Asset Maintenance deployment covering approximately 500,000 vehicles across North America.
The deployment is notable because it is software-only. No new hardware installation is required. Instead, the maintenance layer uses existing vehicle and operational data to improve maintenance planning and shop scheduling. This may prove to be an important shift in how maintenance technology is adopted. Historically, optimization projects were often tied to telematics rollouts, hardware upgrades, or fleet replacement cycles. Organizations frequently waited for new assets or technology refreshes before implementing broader operational changes.
Software-only deployments weaken that dependency. Companies can improve maintenance decision-making without waiting for hardware replacement programs or capital investment cycles. That creates greater flexibility in both deployment timing and capital allocation. It also expands the potential market for maintenance optimization because organizations can pursue operational improvements using assets they already own.
The New Economics of Asset Management
The broader trend reflected in these deployments is the increasing importance of asset productivity. Across industries, companies are trying to generate more output from assets that are becoming more expensive to replace and more costly to maintain. This challenge is particularly relevant as infrastructure spending expands globally and organizations manage larger fleets, equipment bases, and field-service operations.
The traditional response was often to add capacity. The emerging response is to improve utilization. Maintenance data plays a central role in that shift because asset health increasingly determines whether capacity is available when and where it is needed. That makes maintenance decisions relevant not only to technicians but also to operations leaders, transportation planners, finance teams, and network managers.
Why Maintenance Is Becoming a Control Layer
The most important development in Samsara’s strategy is not predictive maintenance, telematics, or workflow automation individually. It is the way those capabilities are being connected. Maintenance information is increasingly being combined with operational, financial, and utilization data to support decisions that extend far beyond repairs. Asset health influences route execution, service reliability, project economics, inventory movement, and network capacity. In effect, maintenance is becoming a management layer that helps coordinate physical operations.
The Next Control Tower May Start With Asset Health
For many years, control towers focused on shipments, inventory, orders, and transportation flows. Asset condition rarely occupied the same strategic position. That is beginning to change. As fleets age, maintenance costs rise, and utilization becomes more important, organizations are discovering that asset health affects nearly every aspect of operational performance. The ability to predict failures, prioritize repairs, allocate capacity, and understand total asset costs increasingly shapes how networks operate.
Samsara’s recent deployments suggest that maintenance is moving in that direction. What was once a workshop function is becoming part of the operating system that governs how physical networks perform. For asset-intensive organizations, the next generation of operational visibility may start not with freight or inventory, but with the condition of the assets that move them.
