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Card class: Non-HeroCategory: Delivery Performance

At a glance

Average elapsed time, in calendar days, from a Sendle parcel’s first pickup or drop-off scan to its delivered scan, measured over the last 30 days against the prior 30. This is the real-world speed your customers feel, distinct from the on-time percentage: a parcel can be slow and still “on time” if Sendle’s quoted window was generous. The alert fires above 5 days, which for a domestic AU metro lane signals a network or zone-mix problem worth investigating.

What it tracks

The card computes the mean of delivered_at - first_scan_at across every parcel with a delivered scan in the window, read from Sendle’s tracking events on the Orders API. The time_window is 30D vsP, so you see the current 30-day average alongside the prior 30 days to spot drift. Average transit is driven mostly by zone mix rather than carrier performance: a shift toward Regional or Remote AU postcodes, or toward higher US zones, lifts the average even when Sendle’s service is unchanged. Pair it with Cost by Zone and Shipments by Destination to separate a genuine slowdown from a geography shift, and with On-Time Delivery Rate and Late Shipments to see whether slower transit is breaching Sendle’s quoted windows. The alert at >5 days is a network-health signal, not a contractual breach.

Reconciling against the source

Reconcile against Sendle’s own tracking timeline in the Sendle Dashboard under each order’s tracking view, remembering that Sendle records scan timestamps in carrier-local time while the card stores UTC, and that tracking-event ingestion can lag the live scan by minutes to a few hours, so the most recently delivered parcels may not yet be in the average.

Tracked live in Vortex IQ Nerve Centre

Avg Transit (days) is one of hundreds of KPI pulses Vortex IQ tracks across Sendle and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. Start for free or book a demo to see this metric running on your own data.