By Cyndi Brandt, VP Fleet Solutions at Descartes
April 22, 2026
Over the past decade, fleets have invested heavily in routing platforms, telematics, dispatch systems and planning tools. While each delivers value on its own, fleet operations can still struggle with inconsistent performance, rising costs and driver dissatisfaction. For example, a route that appears efficient in a planning system may require last-minute dispatch changes due to route constraints or driver availability, ultimately increasing miles, delaying deliveries and creating payroll discrepancies. Even small inefficiencies like these can compound across a network with hundreds of routes each week, negatively impacting costs, service levels, and driver satisfaction.
The root cause, however, isn’t a lack of optimization. Instead, it’s more a lack of alignment across systems and processes. In many cases, planning and execution still operate in parallel rather than in coordination. Different teams rely on different tools, data sets, and assumptions, which creates fragmented workflows that cause even strong plans to break down in practice. As a result, real-world performance rarely feeds back into future planning in a meaningful way. To overcome these challenges, leading fleets are shifting toward an integrated planning model—one that connects everything from long-term route design to driver pay in unified, continuous workflows.
The Cost of Disconnected Planning
In many operations, planning happens in layers. Strategic route design defines territories, driver bidding assigns routes, and daily routing adjusts for orders and constraints. From there, load planning and dispatch manage execution, while driver pay is calculated after the fact. While each step may be optimized individually, disconnects between them create compounding inefficiencies.
A route that works in theory may not hold up under real-world conditions, and daily adjustments introduce variability that can affect fleet performance and driver experience. Execution decisions may unintentionally increase miles, while driver pay often becomes difficult to reconcile with what was originally planned. For instance, a driver may be assigned a route that actually requires backtracking between stops or that exceeds planned hours. Dispatch adjusts the route in real-time but changes are not reflected upstream, creating a disconnect between what was planned, actual execution and final driver compensation.
These gaps force teams to spend more time reconciling systems than improving performance. Dispatchers are cornered into reactive decision-making that undermines consistency, while drivers experience variability in schedules and earnings, and leadership lacks a clear view of costs and outcomes. In effect, fleets are optimizing isolated functions rather than operations as a whole.
Coordinating Fleet Strategy, Execution and Outcomes
A more effective approach connects each stage from planning through execution to driver compensation. In this model, strategic planning, driver bidding, daily routing, load planning, dispatch, and driver pay are aligned through shared data and consistent assumptions, which allows fleets to operate more cohesively.
Coordinated routing and load planning reduces wasted miles and unnecessary fuel expenses, for example, by ensuring deliveries are sequenced logically based on geography, load compatibility, and time windows rather than being reworked at dispatch. Tighter alignment between planning and execution also significantly improves vehicle and driver utilization and enhances service delivery and overall fleet performance. When plans are built with execution in mind, fleets can reduce variability, improve on-time delivery, and minimize last-minute adjustments.
The result is more stable and predictable fleet operations that perform in the field as they were designed and not just as they were modeled. In practice, this means fewer last-minute route changes, more consistent route durations, and improved adherence to delivery windows across the network, all of which help to strengthen operating ratios and protect margins.
Including Driver Pay in Planning Conversation
As fleets work to improve performance, many are recognizing that driver compensation cannot remain an afterthought. Traditionally, driver pay is calculated after execution using separate systems or manual processes, often creating gaps between what was planned, what happened in the field and what drivers are paid. For example, a driver may be assigned a route expected to take eight hours but, due to midday adjustments or inefficient sequencing, the actual work extends well beyond what was planned without a clear method for reconciling pay.
By contrast, an integrated approach connects planning directly to compensation. Routes translate into more predictable days and more predictable earnings because planned work, execution and compensation are all based on the same underlying data and assumptions, so remuneration accurately reflects the work performed. This not only improves payroll accuracy and consistency but also reduces administrative effort and minimizes the chance of disputes.
Equally important, it strengthens the driver experience. Predictable routes, transparent pay structures, and fair workloads contribute to less driver stress and higher standards of driver safety, satisfaction, and retention. In a labor-constrained environment, these factors are no longer secondary considerations; instead, they are essential to maintaining operational stability.
Establishing Single Source of Truth
Underlying this shift is the need for a single source of truth, where planning, execution, and outcomes are connected through shared fleet data. Rather than relying on multiple systems with conflicting information, fleets operate from a unified view of routes, orders, driver assignments, performance, and compensation. With this approach, when a route is adjusted—whether due to order changes, traffic conditions, or driver availability—the change is reflected across planning, dispatch, and payroll systems in real time.
This alignment improves decision-making across the organization. Planners can design routes that reflect real-world conditions, while dispatchers execute against plans that are both realistic and achievable. Finance teams gain clearer visibility into labor and operational costs, and leadership benefits from a more accurate picture of overall performance. With everyone working within a unified technology environment, the organization can move from reactive problem-solving to proactive optimization.
Making this transition requires a shift in the traditional fleet management mindset. Instead of optimizing individual fleet functions, companies must break down silos and encourage collaboration across planning, operations, and finance. From here, connecting systems and data flows is critical to achieve continuity from strategy through execution. Fleets must also close the feedback loop by using actual route execution data (e.g., service times, delays, route deviations) to continuously refine both strategic plans and daily route schedules. Finally, incorporating driver schedules, workload balance and pay structure information early in the process helps ensure that plans are efficient and achievable.
More Predictable & Profitable
As delivery networks grow more complex and margins remain under pressure, disconnected operations are becoming increasingly difficult to sustain. Making existing systems work better together through integrated planning and execution platforms is key to attaining a new level of fleet optimization. By bringing fleet planning and execution into a single environment from route design through dispatch and into driver pay, fleets are better positioned to improve performance, control costs, and create a more consistent experience for drivers. Ultimately, the most successful fleets will be those that can carry a plan all the way through to execution and ensure it holds up in practice.
About the author
Cyndi Brandt is the VP of fleet solutions at Descartes, aligning go-to-market strategy in the routing, mobility and telematics space with industry needs. She has spent the last 23 years in transportation technology, spanning final-mile optimization, dispatch and tracking, telematics and ELDs, video-based safety and data analytics. Having spent time with last-mile and over-the-road companies, Cyndi understands the differences and similarities of the spaces. Previously, she worked with Roadnet Technologies, UPS, Omnitracs, Solera and Matrix iQ across the spectrum of go-to-market activities. Cyndi is an active board member in her passion project, the non-profit Mid-Atlantic Women’s Motorcycle Rally.
