Courier & Last Mile
Sixty drops, one shift, no paperwork.
Last mile is a density business. The margin is in drops per hour, and the losses are in failed deliveries and cash that does not reconcile.
Quick answer
Fleet management for courier and last-mile fleets tracks riders and vehicles through high-density delivery runs, measures drops per hour and time per drop, captures electronic proof of delivery with photographs, records failed-delivery reasons at the door, and reconciles cash-on-delivery collections against the route.
Last-mile economics are decided by density: how many drops a rider completes per hour, and how much of the shift is spent travelling between them rather than delivering.
The losses are concentrated in two places that both come down to records — deliveries that failed for reasons nobody captured, and cash collected that does not reconcile at the end of the shift.
Where courier fleets lose money and time.
The core productivity number, rarely measured per rider against comparable routes.
A reattempt costs as much as the original drop, and without a captured reason nothing improves.
Cash collected across sixty drops against cash deposited is a daily source of friction.
Disputes about whether a parcel was delivered are constant and unwinnable without evidence.
Written from how this sector actually operates, not from a feature list.
A last-mile route is measured in drops, and the useful ratio is delivering time against travelling time.
A rider completing forty drops in a tight cluster and one completing forty across a spread area are doing different jobs, and comparing them on raw drop count penalises the second unfairly.
Measuring time per drop alongside distance between drops separates route design from rider performance, which is the distinction that actually improves anything.
A failed delivery costs the full price of the attempt and guarantees a second one, so the reattempt rate is the number that quietly determines margin.
What matters is capturing the reason at the door rather than reconstructing it later: recipient unavailable, address wrong, refused, payment not ready.
Those categories point at different fixes, and only one of them is the rider’s. Without the reason captured, all failures look the same and none get addressed.
COD turns every rider into a cash handler, and reconciliation at shift end is where the friction concentrates.
Tying each collection to a specific delivery, timestamp and location makes the daily total reconcilable rather than a single figure to be argued about.
It also removes the ambiguity that makes honest discrepancies look like dishonest ones, which matters in a role with high turnover.
Delivery disputes in last mile are constant, low value individually and significant in aggregate.
A timestamped, geotagged record with a photograph settles them at the point of query rather than after an investigation, and the existence of the record reduces how often the claim is made.
The capture has to work in a few taps on an ordinary phone in poor light, because anything slower gets worked around. See ePOD.
It tracks riders and vehicles through delivery runs, measures drops per hour and time per drop, captures electronic proof of delivery with photographs, records failed-delivery reasons at the door, and reconciles cash-on-delivery collections to specific deliveries.
By capturing the reason at the door rather than afterwards. Recipient unavailable, wrong address, refused and payment not ready point at different fixes, and only one of them is the rider’s.
Yes. Each collection is tied to a specific delivery, timestamp and location, so the shift total is reconcilable rather than a single disputed figure.
Yes. Capture is designed for a few taps on an ordinary handset in poor light, because anything slower gets worked around and produces worse records than paper.
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