Learn More About Shipment Analytics Metrics
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Understanding shipment performance is essential to optimize logistics operations. This article outlines the Key Performance Indicators (KPIs) available in AfterShip Tracking’s analytics dashboards. These metrics help assess delivery efficiency, carrier performance, and customer experience.
For time-based metrics, calculations are based on calendar days by default. You can switch to business days depending on your operational needs.
By default, calendar days are used. You can change it to your business days in the tracking settings.
This could be due to a high number of tracked shipments still in transit, pending, or expired. Please wait for some time before reviewing the Shipment Analytics metrics, allowing the majority of shipments to be delivered.
Yes, you can export analytics reports from the dashboard.
Verify that your carriers are updating timestamps like pickup and delivery dates correctly. Missing data may skew results.
Shipment analytics metrics provide actionable insights into fulfillment performance.
Default calculations are based on calendar days but can be changed to business days.
Use delivery, transit, exception, and on-time metrics to identify trends and optimize carrier performance.
Percentile and time-based metrics help uncover outliers and recurring delivery issues.
Analyze Shipment Performance With Shipment Analytics
Overview
Understanding shipment performance is essential to optimize logistics operations. This article outlines the Key Performance Indicators (KPIs) available in AfterShip Tracking’s analytics dashboards. These metrics help assess delivery efficiency, carrier performance, and customer experience.
For time-based metrics, calculations are based on calendar days by default. You can switch to business days depending on your operational needs.
Metric Definitions
| Metric | Definition |
|---|---|
| Total shipments (Created shipments) | Total number of created shipments (excluding deleted ones). |
| Tracked shipments | Shipments across all statuses, excluding expired and pending. |
| Delivered shipments | Shipments with a delivered status. |
| Delivery rate | The percentage of delivered shipments |
| Delivery rate = (Delivered ÷ Tracked) × 100% | |
| Pending rate | The percentage of pending and expired shipments |
| Pending rate = (Pending or Expired ÷ Created) × 100% | |
| Average order-to-delivery time | The average number of days from order placement to delivery for all delivered shipments, calculated at the shipment level |
| Calculation: 1. For a single shipment: Order to delivery = Processing time + Pickup time + Transit time | |
| Average Order to delivery = Total Order to delivery days ÷ Number of shipments with non-null order-to-delivery time | |
| Note: This is calculated only when processing time, pickup time, and transit time have values. | |
| Average processing time | The average number of days from shipments being ordered to processed by the merchant, calculated at the shipment level |
| Calculation: 1. For a single shipment: Processing time = Ship date - Order date | |
| Average Processing time = Total shipment processing days ÷ Number of shipments with non-null processing time | |
| Average pickup time | The average number of days from shipments being processed to carrier pickup, calculated at the shipment level. |
| Calculation: 1. For a single shipment: Pickup time = Pickup date - Ship date | |
| Average pickup time = Total shipment pickup days ÷ Number of shipments with non-null pickup time | |
| Average transit time | The average number of days from shipments picked up to delivered for all delivered shipments. |
| Calculation: 1. Transit time = Delivered date - Pickup date | |
| Average transit time = Total transit time ÷ Number of shipments with non-null transit time. | |
| P50/P85/P95 transit time | Transit time at the 50th, 85th, and 95th percentile respectively. |
| Minimum/Maximum transit time | Shortest/longest transit time for delivered shipments. |
| Ordered shipments | Shipments with a recorded order date. |
| Shipped shipments | Shipments processed and ready for pickup. |
| Picked up shipments | The number of shipments picked up by the carrier (first scan) |
| Shipments with EDD | Shipments that have an original Estimated Delivery Date. |
| EDD coverage | Percentage of tracked shipments with an Original EDD value |
| Calculation: (Shipments with Original EDD ÷ Tracked shipments) × 100% | |
| Early/On-time/Late shipments | First delivery attempt before/on/after the original EDD. |
| Trending early/on-time/late shipments | Based on whether the current EDD is earlier/on/later than the original EDD. |
| Overdue shipments | The original EDD is in the past, and no updated EDD is available. |
| On-time or early rate | The percentage of tracked shipments with the first delivery attempt on or before the original EDD. |
| Calculation: (On-time shipments + Early shipments) ÷ (On-time + Early + Late shipments) × 100% | |
| Exception shipments | Shipments that encountered an exception event. |
| Exception rate | The percentage of shipments that has an exception. |
| Calculation: (Shipments with exception ÷ Tracked) × 100% | |
| Lost/Damaged/Returned shipments | Based on specific checkpoint messages: lost, damaged, or returned to sender issues on the tracking dashboard. |
FAQs
1. Are calendar days or business days used in calculations?
By default, calendar days are used. You can change it to your business days in the tracking settings.
2. Why is my delivery rate lower than expected?
This could be due to a high number of tracked shipments still in transit, pending, or expired. Please wait for some time before reviewing the Shipment Analytics metrics, allowing the majority of shipments to be delivered.
3. Can I export this metric data?
Yes, you can export analytics reports from the dashboard.
4. What should I do if my transit time metrics look inaccurate?
Verify that your carriers are updating timestamps like pickup and delivery dates correctly. Missing data may skew results.
Key takeaways
Shipment analytics metrics provide actionable insights into fulfillment performance.
Default calculations are based on calendar days but can be changed to business days.
Use delivery, transit, exception, and on-time metrics to identify trends and optimize carrier performance.
Percentile and time-based metrics help uncover outliers and recurring delivery issues.
Additional Resources
Analyze Shipment Performance With Shipment Analytics
Updated on: 29/05/2025