Maersk Questions 'On-Time' as Sole Ground Freight Metric
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The signal
Maersk is advancing a critical conversation about how the logistics industry measures ground freight reliability, arguing that 'on-time' delivery alone is an incomplete and potentially misleading performance indicator. This perspective challenges an industry-wide convention that has dominated logistics KPI frameworks for decades, suggesting that shippers and carriers should adopt more nuanced metrics that capture the full spectrum of delivery reliability and service quality. The article signals a strategic shift in how major logistics providers are thinking about customer value and operational excellence.
Rather than optimizing purely for calendar-based on-time targets, the broader logistics ecosystem should consider metrics like consistency, damage rates, documentation accuracy, and predictability—factors that directly impact supply chain stability and working capital management. This reframing is particularly relevant as e-commerce and just-in-time manufacturing create heightened sensitivity to delivery variability. For supply chain professionals, this development underscores the importance of renegotiating service agreements and KPIs with carriers to align metrics with actual business impact.
Organizations that continue to rely solely on on-time percentage as their primary performance driver may be missing critical signals about operational efficiency and customer satisfaction, creating strategic blind spots in logistics decision-making.
Frequently Asked Questions
What This Means for Your Supply Chain
What if your carrier shifts focus from on-time % to delivery consistency?
Simulate the impact of a ground freight carrier reducing their on-time target from 95% to 92%, but improving delivery consistency (lower variance in actual transit times) and damage rates. Model how this affects inventory policy, safety stock requirements, and total landed cost across a distribution network.
Run this scenarioWhat if you renegotiate SLAs to include predictability and damage metrics?
Model the cost-benefit of redesigning ground freight service level agreements to include new KPIs: transit time standard deviation (instead of just on-time %), damage rate targets, and documentation accuracy. Assess impact on carrier rates, service selection, and total cost of ownership.
Run this scenarioWhat if unpredictable delivery windows increase safety stock requirements?
Simulate the financial impact of current ground freight providers where on-time % is good (95%) but delivery variance is high. Model how switching to a carrier with lower variance would allow reduction in safety stock levels, warehouse throughput, and associated carrying costs.
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