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86. Delivery SLA and KPIs
86. Delivery SLA and KPIs
How to Define, Measure, and Monitor Logistics Service Commitments
What Is a Delivery SLA?
A Delivery SLA (Service Level Agreement) is a formal commitment between a logistics provider (or internal logistics team) and a client (or business unit) that outlines specific expectations for delivery performance. It defines the service standards — such as delivery timeframes, accuracy, and conditions — that must be met.
In logistics, SLAs are essential for aligning expectations, ensuring accountability, and measuring performance in distribution, shipping, and last-mile delivery operations.
Typical Delivery SLA Components
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Delivery Timeframe
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Example: “Standard deliveries must arrive within 48 hours of order dispatch.”
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May vary by region, shipping method, or product type.
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Order Accuracy
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Example: “99.5% of orders must be delivered with the correct items and quantities.”
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On-Time Delivery (OTD)
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Example: “At least 97% of all deliveries must be completed on or before the promised delivery date.”
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Delivery Conditions
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Example: “Cold chain products must remain within 2–8°C during transit.”
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Proof of Delivery (POD)
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Required evidence that a delivery has been successfully completed (signature, photo, GPS confirmation).
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Return Handling SLA
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Example: “All returns must be processed within 3 business days of receipt.”
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Key Delivery KPIs (Key Performance Indicators)
Delivery KPIs are the quantitative metrics used to monitor whether SLA commitments are being met.
1. On-Time Delivery Rate (OTD)
Formula:
On-Time Deliveries ÷ Total Deliveries × 100
Example:
970 on-time deliveries out of 1,000
OTD = (970 ÷ 1,000) × 100 = 97%
This is one of the most critical delivery KPIs and is often directly tied to customer satisfaction and SLA compliance.
2. Delivery Accuracy Rate
Formula:
Accurate Deliveries ÷ Total Deliveries × 100
Example:
985 correctly fulfilled orders out of 1,000
Accuracy Rate = (985 ÷ 1,000) × 100 = 98.5%
Reflects the precision in item picking, packing, and labeling.
3. Average Delivery Time
Formula:
Total Delivery Time (hours or days) ÷ Number of Deliveries
This shows how long, on average, it takes for deliveries to reach the customer after shipment.
4. First-Attempt Delivery Success Rate
Formula:
Deliveries Completed on First Attempt ÷ Total Delivery Attempts × 100
This is especially relevant in B2C logistics where failed first attempts increase costs and customer frustration.
5. Delivery Cost per Order
Formula:
Total Delivery Costs ÷ Number of Orders Shipped
Helps balance service level goals with cost efficiency.
6. Return Rate
Formula:
Number of Returned Orders ÷ Total Orders Delivered × 100
While not always a direct SLA failure, high return rates can indicate issues in delivery accuracy or damage in transit.
How SLAs and KPIs Work Together
SLAs define the target, while KPIs measure actual performance. Monitoring KPIs against SLA targets allows companies to:
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Identify service failures quickly
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Analyze root causes (e.g., poor route planning, inventory issues)
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Benchmark performance across carriers or regions
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Negotiate penalties or service credits for repeated SLA breaches
Tools for SLA and KPI Monitoring
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Logistics dashboards integrated with TMS/WMS
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Real-time GPS tracking and geofencing
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Barcode/RFID scanning systems
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Delivery apps with digital POD capture
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Exception reporting alerts for late or failed deliveries
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Customer feedback integrations (e.g., CSAT linked to delivery event)
SLA Penalties and Incentives
Many SLAs include clauses for:
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Service credits for repeated late deliveries
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Penalties for mis-shipments or temperature violations
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Performance-based bonuses for high on-time or early delivery rates
Example SLA in Practice
A grocery delivery company sets the following SLA with its 3PL:
Metric | Target |
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On-Time Delivery Rate | ≥ 98% |
Delivery Accuracy | ≥ 99% |
Cold Chain Compliance | 100% |
Average Delivery Time | ≤ 2 hours |
Return Handling | ≤ 48 hours |
Conclusion
SLAs and KPIs are essential to building a high-performance logistics operation. They translate customer expectations into measurable goals and provide the structure to monitor and continuously improve service quality.
With real-time technology, smart analytics, and clear contractual frameworks, businesses can turn delivery performance into a competitive advantage — ensuring reliability, trust, and loyalty across the supply chain.
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