Logistics KPIs Explained: Track the Right Metrics in 2025

One of the KPIs essential for evaluating last-mile reliability is on-time delivery rate. It measures the percentage of orders delivered within the promised window, offering a direct view into how well fulfillment meets customer expectations.

When logistics teams start monitoring this metric, it often surfaces delays that volume-based metrics obscure. High delivery counts may look promising, yet repeated timing failures in specific zones or time slots can erode SLA performance and customer trust.

Because on-time delivery rate can be segmented by region and time band, it allows teams to pinpoint problem areas, recalibrate dispatch schedules, and reassign routes with greater accuracy. These targeted changes often lead to measurable gains in delivery consistency and fewer service complaints.

In this blog, we explore which logistics KPIs deliver the most value in 2025, and how Locus transforms them into real-time, operational decisions.

What Is a Logistics KPI?

Image reference: https://www.freepik.com/premium-photo/business-data-dashboard-provide-business-intelligence-analytic-snugly_316932127.htm#fromView=search&page=1&position=42&uuid=1dfbd2c0-477a-4516-a8a2-47813b37630b&query=KPI+warehouse Alt Text: Logistics workers reviewing KPI dashboard on a laptop in a warehouse. Caption: Real-time operations dashboard used for monitoring logistics performance on the warehouse floor.

A logistics KPI is a clearly defined metric that quantifies performance in specific segments of the supply chain, transportation, warehousing, fulfillment, or reverse logistics. Moreover, these KPIs differ from general operational statistics by linking performance to specific strategic goals, such as on-time delivery, cost per shipment, or order accuracy.

Each KPI captures a particular operational dimension. For example, order accuracy rate reflects the precision of inventory management and picking systems, while first-attempt delivery rate indicates how well last-mile logistics align with customer availability and routing efficiency.

These logistics KPIs are usually categorized as:

• Transportation KPIs: delivery timelines, route efficiency, fuel cost per mile
• Warehouse KPIs: picking accuracy, throughput per hour, space utilization
• Fulfillment KPIs: lead time to delivery, perfect order rate, order cycle time
• Reverse logistics KPIs: return rate, resolution time, cost of returns per shipment

With the help of these metrics, teams can isolate inefficiencies and prioritize improvements. A rise in fuel cost per mile, for instance, may signal suboptimal routing logic or vehicle underutilization.

For multi-channel operations, KPIs translate business goals into tactical action. Tracking first-attempt delivery rate helps a CEP network reassign drivers and adjust slotting where failure rates compromise SLA compliance.

Each KPI serves a defined operational role, whether reallocating resources, tightening time windows, or isolating avoidable delivery failures.

Suggested read: AI in Logistics and Supply Chain

Key 18 Logistics KPIs to Monitor for Optimal Performance

Tracking specific KPIs across different stages of logistics operations helps businesses pinpoint inefficiencies, reduce costs, and improve service levels. Below are essential logistics KPIs, along with their formulae and detailed explanations.

Transportation KPIs

Transportation costs and efficiency are crucial for optimizing the logistics network. These KPIs help monitor performance in delivering goods to customers.

∙ On-Time Delivery Rate:

Measures the percentage of deliveries made on or before the promised delivery time.

This KPI indicates the reliability of delivery processes and route planning. A higher rate suggests better operational control and customer satisfaction.

∙ Transportation Cost per Mile

Tracks the cost incurred for each mile traveled during transportation. It includes fuel, labor, and vehicle maintenance costs.

Monitoring this metric helps identify opportunities to reduce costs by optimizing routes or improving fleet efficiency.

∙ Vehicle Capacity Utilization

Measures the efficiency of how well a vehicle’s available capacity is being used.

A higher percentage indicates better fleet management and fewer empty miles, leading to cost savings.

∙ Fuel Efficiency

Measures how many miles are covered per unit of fuel, typically expressed as miles per gallon (MPG) or kilometers per liter (KPL).

Optimizing fuel efficiency is key to lowering transportation costs and reducing environmental impact.

Warehouse and Inventory KPIs

These KPIs assess how well the inventory is managed, which directly impacts order fulfillment speed and cost efficiency.

∙ Inventory Turnover Ratio

Indicates how frequently inventory is sold and replaced over a period. 

A higher ratio suggests better inventory management, reducing the risk of overstocking or understocking.

∙ Order Accuracy Rate

Tracks the percentage of orders fulfilled without errors (e.g., wrong items, quantities, or damages).

High accuracy in order fulfillment minimizes returns, improves customer satisfaction, and reduces operational costs.

∙ Putaway Time

Measures the time taken to move goods from receiving to storage in the warehouse.

Reducing putaway time enhances overall warehouse efficiency and speeds up order fulfillment.

∙ Space Utilization

Calculates the percentage of total warehouse space effectively utilized for storage.

Optimizing space utilization reduces storage costs and increases operational efficiency.

Delivery and Last-Mile KPIs

The final stage of delivery, last-mile, is often the most critical for customer satisfaction. Monitoring these KPIs ensures timely and accurate deliveries.

∙ Last-Mile Delivery Success Rate

Measures the percentage of deliveries successfully completed in the last-mile stage without issues (e.g., delivery errors, delays).

A high success rate indicates well-managed last-mile operations, leading to greater customer satisfaction.

∙ First Attempt Delivery Rate (FADR)

Tracks the percentage of deliveries made successfully on the first attempt. 

Improving FADR reduces operational costs related to redeliveries and enhances customer experience by ensuring timely deliveries.

∙ Delivery Exception Rate

Measures the percentage of deliveries that encounter issues (e.g., delays, damages, missed deliveries).

A low delivery exception rate reflects well-coordinated operations, while a high rate highlights areas for improvement.

Cost and Efficiency KPIs

Cost control is critical in logistics. These KPIs help balance service quality with financial sustainability.

∙ Cost per Order

Measures the total cost involved in fulfilling a single order, including transportation, warehousing, and handling costs.

Lowering the cost per order helps businesses maintain profitability without compromising service quality.

∙ Logistics Cost as % of Sales

This KPI tracks logistics expenses relative to total sales revenue.

Keeping this percentage low indicates efficient cost management relative to sales growth.

∙ Perfect Order Rate

Measures the percentage of orders delivered on time, complete, and without damage.

A high perfect order rate is a strong indicator of efficient logistics and high customer satisfaction.

Real-Time Tracking and Orchestration KPIs

Real-time monitoring provides operational visibility, helping businesses make informed decisions and react quickly to disruptions.

∙ Orders Planned vs. Orders Dispatched

This KPI compares the number of orders planned for dispatch versus the actual orders dispatched.

A discrepancy between planned and dispatched orders suggests inefficiencies in planning or order availability.

∙ % of Orders Auto-Assigned

Measures the percentage of orders automatically assigned to vehicles using route optimization algorithms.

A higher percentage shows better utilization of automated systems to enhance operational efficiency.

∙ Dispatch Efficiency

Tracks how efficiently orders are assigned and processed in the dispatch phase.

A higher dispatch efficiency rate leads to faster order fulfillment and reduced delays.

∙ Control Tower Resolution Time

Measures the time taken to resolve issues detected by a logistics control tower, such as route changes or delivery disruptions.

A lower resolution time indicates a proactive response to disruptions, minimizing the impact on delivery timelines.

Locus enables real-time action on logistics KPIs by embedding them into dispatch and monitoring workflows. Tools like DispatchIQ and Control Tower adjust routes, flag SLA risks, and surface cost or delivery issues as they emerge, helping teams correct course before problems escalate.

Suggested read: 4 Best Retail Logistics Software Companies in 2025

Why Logistics KPIs Are Essential to Operational Control

Well-designed logistics KPIs turn daily execution into measurable progress. They give managers the tools to focus resources, validate decisions, and improve delivery performance with precision. Rather than reacting to delays or rising costs after the fact, teams use KPIs to identify patterns, test adjustments, and scale what works.

1. Diagnosing Delays Before They Escalate

Metrics like order-to-ship time and lead time to delivery distinguish upstream issues, such as inventory holds or processing lags, from downstream delays in routing or handoffs. This clarity enables targeted intervention across specific functions, instead of broad troubleshooting.

Use case: A retail brand used lead time breakdowns to flag inconsistent pick-and-pack cycles at one warehouse, resolving the delay without touching fleet operations.

2. Prioritizing Interventions with Limited Resources

Disruptions affect performance unevenly, making it essential to distinguish between high- and low-impact issues. KPIs such as first-attempt delivery rate or cost per shipment by zone help managers assess which decisions, rerouting, time slot revisions, or driver reassignments, have the strongest operational payoff.

Use case: A 3PL optimized cost per delivery in low-density regions by reshaping zones based on past failure patterns.

3. Coordinating Across Teams and Systems

When KPIs like return rate by reason are consistently defined, they align teams across functions. Product, packaging, and logistics can collaborate around shared data to reduce avoidable returns or damage-related complaints.

Use case: A CPG brand identified transit-related damage trends and adjusted packaging for specific SKUs, cutting returns by 15%.

4. Enabling Accountability Through Measurable Targets

Performance KPIs like perfect order rate or SLA compliance provide the foundation for setting benchmarks, managing partner performance, and motivating frontline teams with outcome-driven goals.

Use case: A delivery network used zone-level SLA dashboards to benchmark hubs and recognize top-performing routes weekly.

Logistics KPIs make performance visible, actionable, and repeatable, supporting better decisions at every stage of fulfillment.

Benefits of Tracking the Right KPIs

Logistics KPIs serve as execution signals, not summaries. When tracked consistently, they help managers direct effort, optimize planning, and scale operational decisions with precision.

1. Granular Visibility for Focused Action

KPI dashboards allow performance to be segmented by shift, route, carrier, and facility. Teams can focus on specific process gaps, such as a zone with rising exception density or a shift with declining pick accuracy, without reviewing entire workflows.

2. Shorter Time to Intervention

Defined KPI thresholds trigger operational checks at the point of deviation. Teams respond before missed targets affect downstream operations, reallocating drivers, adjusting cutoff times, or modifying zone boundaries on the same day.

3. Consistent Delivery Performance

Tracking fulfillment and delivery KPIs by lane or product category reduces variability in timing, accuracy, and service quality. Teams maintain service-level consistency across urban and rural zones, weekdays and weekends, or high- and low-volume cycles.

4. Smarter Resource and Capacity Planning

Historical KPI trends support shift planning, zone configuration, and carrier allocation. For example, fleet size can be adjusted based on weekday vs. weekend route performance, and pick-line staffing can reflect past throughput metrics.

Locus enables these outcomes by embedding real-time KPI tracking into routing engines, Control Tower views, and exception workflows, so performance data feeds directly into decisions that shape each day’s execution.

Turn KPIs into Execution Levers

Logistics KPIs, when clearly defined and tied to execution, guide targeted interventions across every layer of fulfillment. They expose route-level inefficiencies, surface recurring bottlenecks, and quantify the operational impact of delays, misroutes, and returns. For enterprise logistics teams managing high volumes across regions, KPI tracking is essential to sustaining performance and scaling capacity with control.

Locus enables logistics teams to act on these signals through Dispatch Management and Control Tower, which use real-time KPI inputs to adjust routing logic, manage SLA risk, and surface exception patterns. These tools feed into Analytics & Insights, which consolidates performance data into customizable dashboards, enabling teams to monitor trends, drill into metrics, and align decisions across regions and partners.

Book a demo to see how Locus helps logistics teams move from KPI tracking to real-time execution, across dispatch, delivery, and post-fulfillment control.