# On-time delivery chart

> Show each carrier against the SLA, and how sure the rate is.

**Short answer.** Show each carrier's on-time rate as a dot with its confidence interval against the SLA line, so carriers that are really below stand apart from the uncertain ones. To explain the late deliveries, add a waterfall by cause.

Updated Nov 2, 2026 · Logistics sample data

## 050 · Dot plot with intervals widget: Dot plot with intervals (Q3 2026)

ON-TIME DELIVERY · 6 CARRIERS: **95.1%** · 1 BELOW SLA 95% · 95% CONFIDENCE

1. **The rate in the hero** On-time delivery across carriers, with how many are below the SLA.
2. **One dot per carrier** The estimate and its interval against the SLA line.
3. **The gap to the SLA** Each carrier's distance from the line, in points.

## The data it needs

| Column | Type | Example | Note |
| --- | --- | --- | --- |
| carrier | Text | Rapida | One row per carrier. |
| delivered | Number | 1820 | Deliveries in the period. |
| on_time | Number | 1691 | Deliveries within the promised window. |
| sla_pct | Number, % | 95 | The target, the same on every row. |

## Why deliveries were late this week

042 · Waterfall

Why deliveries were late this week: Scheduled 5,440, Carrier delay −118, Missed cut-off −74, Address issues −46, Customs −29, On time 5,173 parcels.

| Step | Parcels |
| --- | --- |
| Scheduled | 5,440 |
| Carrier delay | −118 |
| Missed cut-off | −74 |
| Address issues | −46 |
| Customs | −29 |
| On time | 5,173 |

Of 5,440 scheduled parcels, 5,173 arrived on time: 95.1%. Carrier delays cost 118, missed cut-offs 74, address issues 46 and customs 29.

The dots show which carrier is below the SLA; the waterfall shows why parcels were late. Put it under the widget for the week in focus.

## Next to it on a logistics dashboard

- [007 · Horizontal bars](https://usechartory.com/charts/horizontal-bars): Compare items · Logistics data
- [037 · Gantt](https://usechartory.com/charts/gantt): Schedule and status · Logistics data
- [088 · Isochrone rings](https://usechartory.com/charts/isochrone-rings): Space and place · Logistics data

## Common mistakes

- **Rates with no interval** A carrier with 40 deliveries and one with 4,000 are not equally sure. Show the interval.
- **One rate for every carrier** An overall rate hides the carrier dragging it down.
- **Late parcels with no cause** The rate says how many; the causes say what to fix.

## Dot plot with intervals, waterfall and the other 130 types.

In Figma and React, in four sizes, light and dark. Pay once, every update. [See plans](https://usechartory.com/pricing). [050 · Dot plot with intervals type page](https://usechartory.com/charts/dot-plot-with-intervals) · [042 · Waterfall type page](https://usechartory.com/charts/waterfall)

## Questions

### What counts as on time?

Delivered within the promised window. Early deliveries count as on time.

### Why show a confidence interval?

Small carriers swing week to week. The interval shows whether a dip below the SLA is real.

### Can I draw it from my own data?

Yes. The chart is drawn from your rows (carrier, delivered, on time, SLA) and lays out again for its size; nothing is scaled.

### Does the dot plot come in every size?

Yes: XS, S, M and L, each laid out again for its size, in light and dark.

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Charting another metric? Start from what the chart has to show. [Open the Chart Chooser](https://usechartory.com/chooser)