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
On-time rate by carrier
Carrier
On-time
Low (95%)
High (95%)
Nordline
97.2%
96.4%
98%
Rapida
96.4%
95.7%
97.1%
Parcelo
95.8%
94.1%
97.5%
Swift EU
94.1%
92.8%
95.4%
Cargo One
92.6%
90.2%
95%
Lumen Post
89.8%
86.5%
93.1%
01The rate in the heroOn-time delivery across carriers, with how many are below the SLA.
02One dot per carrierThe estimate and its interval against the SLA line.
03The gap to the SLAEach carrier's distance from the line, in points.
The data it needs
ColumnTypeExampleNote
carrierTextRapidaOne row per carrier.
deliveredNumber1820Deliveries in the period.
on_timeNumber1691Deliveries within the promised window.
sla_pctNumber, %95The target, the same on every row.
Why deliveries were late this week
Why deliveries were late this week
Step
Parcels
Scheduled
5,440
Carrier delay
−118
Missed cut-off
−74
Address issues
−46
Customs
−29
On time
5,173
042 · Waterfall
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.