Benchmark-based On-time Evaluation in Shipment Dashboard
Overview
Shipment Dashboard and Analytics now support benchmark-based on-time evaluation. You can choose which benchmark results appear in the shipment table, filter by a specific benchmark and status, and work with updated analytics labels that more closely match how your team thinks about delivery performance.
What's new
- Multiple benchmark columns: Users can configure which benchmark-based on-time status results are shown in the shipment table, define the default benchmark displayed, and review additional benchmark results through hover details.
- Benchmark-specific filters: Users can filter shipments by first selecting a benchmark and then choosing the corresponding on-time status value under that benchmark.
- Updated terminology: Analytics terminology has been updated to better match the actual business meaning, including renaming EDD Type to Benchmark and Original Carrier EDD to Carrier Original EDD.
Understanding benchmarks
A benchmark is the delivery expectation the system uses to decide whether a shipment is early, on-time, or late. Because different teams care about different commitments, the same shipment can have different on-time results depending on which benchmark you use.
Example: A shipment might be on-time against the carrier's original estimate, but late against the delivery date promised to the shopper at checkout. The shipment didn't change, the evaluation lens did.
Benchmark | What it measures |
|---|---|
Carrier original EDD | Whether the carrier's own delivery timeline was met. |
Promised delivery date | Whether the delivery date shown to shoppers at checkout was fulfilled. |
Original EDD | Whether the post-shipment delivery expectation shown to shoppers was met. |
Custom EDD | Whether shipments hit the merchant's own service target. |
Original AI EDD | Whether the initial AfterShip AI prediction was accurate. |
Shipment dashboard
1. Configure which benchmarks appear in the table
You can display on-time status for multiple benchmarks at once. The first benchmark in your column order becomes the default, its status shows directly in the table cell. All other selected benchmarks appear when you hover over that cell.
- Open the Shipment Dashboard in your AfterShip Tracking admin.
- Click Edit column and enable the On-time status options for the benchmarks you want to see.
- Drag the selected benchmarks to set their display order on the Shipments dashboard.
- The benchmark at the top of the list becomes the default benchmark, shown directly in the table. Others appear on hover.
2. Filter by a specific benchmark and status
You can narrow the shipment list to a specific benchmark and on-time status combination using the filter options.
- Click Add filters in the Shipment Dashboard in your AfterShip Tracking admin.
- Select On-time status under Timeline category.
- Under the On-time status category, select a Benchmark.
- Choose the On-time status value to filter by (e.g. On-time, Late, Early).
- The table updates to show only shipments matching that benchmark and status.
The filter applies to the benchmark you select, it does not change which columns are displayed. Use Edit column to manage visible benchmarks separately.
Updated analytics labels
In the Analytics section, two labels have been renamed to better match how the data is actually used.
Previous label | New label | Why it changed |
|---|---|---|
| | Reflects that this selector defines the reference used to evaluate on-time performance, not just the type of date. |
| | Makes it clearer that this is the carrier's own original estimate, not a derived or modified date. |
No action is needed, saved views and reports using these filters will continue to work. The labels are display-only changes.
What you can do with this update
These updates let you:
- Compare the same shipment batch against multiple benchmarks in a single table view.
- Quickly narrow down shipments that were late under one benchmark but on-time under another.
- Filter shipment by the benchmark that actually matters to your team's SLA definitions.
- Read analytics labels that match the terminology your team already uses.
Updated on: 24/04/2026