This article explains how the Picker Performance Dashboard calculates the Picker Score, what the AI model evaluates, and how to interpret key performance metrics.
Before You Begin
The Picker Score and all metrics require Location-Aware Picking to be active for your account. The AI model uses your warehouse map to calculate walking distances for each batch. Contact ShipHero Support to confirm Location-Aware Picking is enabled.
For a dashboard overview and scoring scale summary, see Overview: Picker Performance Dashboard. To navigate the dashboard UI, see How to Use the Picker Performance Dashboard.
Table of Contents
How the Picker Score Is Calculated
Unlike traditional metrics based solely on units per hour, the Picker Score evaluates the complexity of every individual batch. The system generates an AI-expected time for each batch and compares it to the picker's actual time to produce a score between 0 and 10.
Picker Score AI Model Features
The system uses a LightGBM Machine Learning model that analyzes over 60 batch features to estimate the expected completion time:
- Walking Distance: Calculated based on your specific warehouse map and the pick path for that batch.
- Batch Type: Categorized as Multi-Item Batch (MIB) or Single-Item Batch (SIB).
- Complexity: The number of unique locations and total units within the pick.
- Historical Data: Two months of data from mapped warehouses to establish a realistic performance baseline.
The AI model generates a unique expected time for every batch based on your warehouse layout. Two batches with the same number of units but different pick paths will have different expected times.
Picker Score Scale
| Score Value | Performance Meaning |
|---|---|
| 10 | The picker was twice as fast as the AI benchmark. |
| Above 5 | The picker was faster than the benchmark. |
| 5 | The batch was completed exactly within the expected time. |
| Below 5 | The picker was slower than the benchmark. |
| 0 | The picker took at least twice as long as expected. |
Key Metrics in the Picker Performance Dashboard
Clocked Time vs. Recorded Time
- Clocked Time: Total shift duration imported from WorkforceHero.
- Recorded Time: Active time spent engaged in picking batches.
- Productivity %: Recorded Time divided by Clocked Time — the percentage of a shift spent on revenue-generating picking activity.
Transition Time
Transition Time measures the duration between the completion of one batch and the start of the next. High transition times may indicate equipment delays, congestion, or depot bottlenecks.
Transition time does not affect the picker's individual batch score. It is a separate metric used to identify workflow bottlenecks, not individual performance issues.
Pro-Tip: Identifying Invisible Bottlenecks
Use Transition Time in tandem with the Score. If a picker has a high Score (they pick very fast) but low Productivity % (they spend a lot of time in transition), they are not the problem — your workflow is. This usually means batches are not being assigned quickly enough, or there is a bottleneck at the packing station. Addressing these gaps is often the fastest way to increase total warehouse throughput.
Picker Score FAQ
| Question | Answer |
|---|---|
| Why are some batches un-scored? | A score is omitted if a batch is too short, has insufficient locations, or involves unmapped warehouse areas where walking distance cannot be accurately calculated. |
| How should I evaluate AI accuracy? | The AI provides an estimate based on distance and historical trends. Evaluate a picker's average score over a one-week period rather than individual batches for a reliable assessment. |