Parts inventory has evolved from a back-office purchasing function into a critical part of fleet maintenance strategy. In an article for FleetOwner, Jane Clark, SVP of operations for NationaLease, examines how supply chain disruptions, rising costs, and increasingly complex vehicle technologies are forcing fleets to rethink how they stock and manage maintenance parts.

For maintenance operations, the challenge is finding the right balance. Too little inventory can leave vehicles waiting on critical components, while too much ties up capital, consumes storage space, and increases carrying costs.

Moving beyond just-in-time inventory

Clark explains that the weaknesses of just-in-time inventory became particularly apparent during the COVID-19 pandemic, when manufacturing slowdowns, shipping delays, labor shortages, and supplier disruptions made critical parts difficult to obtain. More recent geopolitical and supply chain uncertainty has reinforced the lesson: Minimizing inventory is not always the same as minimizing costs.

The focus is increasingly shifting toward risk-based inventory planning. Rather than asking how little inventory a fleet can carry, maintenance leaders must determine which components are critical enough to keep on hand and how supply disruptions could affect uptime.

That strategy is becoming more important as trucks incorporate advanced driver assistance systems (ADAS), connected-vehicle technologies, and alternative-fuel systems. These technologies can introduce specialized components and maintenance requirements that traditional inventory models may not adequately account for.

Supplier diversification is another important piece of the strategy. Establishing relationships with multiple vendors and considering regional sourcing can give fleets more options when a primary supplier encounters delays or shortages.

Using data to improve parts planning

Technology can help maintenance departments make inventory decisions based on actual vehicle and parts data rather than intuition. Modern inventory management systems can provide real-time visibility into stock levels, usage patterns, shortages, and excess inventory.

Predictive maintenance adds another layer. By analyzing vehicle performance and maintenance histories, fleets can anticipate component failures and plan parts purchases before a vehicle requires an unexpected repair. This can reduce emergency orders and allow technicians to complete work during scheduled maintenance events.

Historical parts usage, seasonal demand, vehicle age, and maintenance schedules can also improve forecasting. With better data, fleets can identify which components deserve higher stocking levels while limiting inventory investment in slower-moving items.

Automation can further simplify the process. Inventory systems can trigger replenishment orders when parts reach predetermined thresholds, reducing administrative work and helping prevent stockouts. Looking ahead, Clark notes that artificial intelligence and improved supply chain visibility could make forecasting and predictive maintenance even more precise.

For maintenance leaders, the broader lesson is that parts inventory should be managed as a component of uptime strategy—not simply as a cost center. A balanced approach that combines risk assessment, supplier flexibility, predictive maintenance, analytics, and automation can help fleets keep the parts technicians need available without allowing inventory costs to spiral.

You can read the original article from Clark and FleetOwner, a Fleet Maintenance affiliate publication, here.