Delivery Delay Histogram
This histogram groups late parcel deliveries by the number of hours past their promised arrival time. Most late parcels fall in the first two hours, and the frequency drops as delays become longer. That pattern helps an operations team separate a common small delay from a smaller group of severe exceptions. Use the same promise-time definition across all records and exclude canceled deliveries unless they are part of the question. The chart does not explain why parcels were late, so pair it with route, carrier, weather, and warehouse data when diagnosing causes. Keep the bins consistent when comparing different weeks or service regions.
Open it in the AI editor with a prompt pre-filled — keep what works, change what doesn't.
Scenario
Reviewing delivery exceptions
Key decisions
- Definition: Measure delay against the promised arrival time.
- Bins: Use equal two-hour intervals.
- Priority: Investigate the parcels delayed more than six hours.
When to reuse this
Use this histogram to understand the spread of late-delivery exceptions across a delivery operation.
Frequently asked questions
What is a delivery-delay histogram?
Why not use only average delay?
Can I compare two delivery regions?
Tweak it with chat, export PNG/SVG, or fork it for your own use case.