What it means
A parcel may travel efficiently in a full truck between large hubs, then spend disproportionately more effort reaching one apartment, because the driver must locate the address, park, contact the recipient, complete the hand-off and move to the next stop. A wrong address or missed recipient can require a second visit.
UPS defines last-mile delivery as movement from a transportation hub to the final residential or commercial destination. There is no universal share of total shipping cost attributable to the last mile.
Dense urban routes can serve many addresses close together, while scattered rural deliveries may need more driving per stop. Building access, security rules, weather and time windows also change the economics, so use the company's own route and invoice data rather than a generic percentage from a vendor presentation.
A retailer may use an in-house fleet, a courier or an app-based service, and the cheapest per-drop quote may exclude failed deliveries, fuel surcharges, insurance, returns or customer support. In-house costs include driver time, vehicles, maintenance and software.
Compare the same delivery promise and package mix, with both successful and unsuccessful attempts accounted for. Routing is more than finding the shortest line on a map, because time windows, vehicle capacity, driver hours, traffic and customer preferences constrain a feasible sequence.
A route that saves kilometres but misses promised delivery windows may increase refunds and complaint costs. Amazon Web Services describes poor routing and failed attempts as cost drivers in last-mile logistics, though its discussion is vendor guidance, not a fixed benchmark for every business.
Delivery density matters, since ten packages to one building can cost less per parcel than ten separate distant stops, though unloading or security may complicate the comparison. Collection points or grouped delivery windows can improve density if customers accept them, but a business should test whether an apparent saving shifts unreasonable inconvenience to the customer.
Keep the status data trustworthy by recording when a parcel is handed to a carrier, reaches a local hub, goes out for delivery and is delivered or returned, because a scan at a hub is not proof of receipt. On-time delivery rate is a useful service measure only when the promise and measurement are clear, whether that means by a calendar day, a two-hour slot or the customer's requested time.
Count attempted and completed deliveries separately, since an operator can show a high on-time rate by excluding failed jobs unless the denominator is explicit. Cost per completed delivery divides all relevant last-mile costs by successful hand-offs and can rise when volume falls, because fixed fleet costs are spread over fewer parcels; for owners, the last mile is a joint service and cost decision, and faster is not always better if the extra cost exceeds what customers will pay.
In practice
Real-world examples.
Example
A courier takes parcels from a local depot to residential addresses on one planned route. The driver records each successful hand-off and each failed attempt separately.
Example
A grocery store uses timed delivery windows and tracks missed hand-offs separately. It reviews which neighbourhoods and time slots produce the most repeat trips.
Example
A retailer compares a third-party courier with its own fleet, including support and returns. It judges both options on cost per completed delivery rather than on the quoted price per attempted stop.
Formula
Calculation
Last-mile cost per completed delivery = Total relevant last-mile cost / Completed deliveries
Worked example. An invented retailer spends $90,000 on drivers, vehicles, dispatch and reattempts for 6,000 completed deliveries.
- Cost per completed delivery = $90,000 / 6,000 = $15.
Now suppose volume falls to 5,000 completed deliveries while $60,000 of the cost is fixed (vehicles and dispatch) and the remaining $30,000 was variable at $5 per delivery, so variable cost drops to $25,000.
- Total cost = $60,000 + $25,000 = $85,000.
- Cost per completed delivery = $85,000 / 5,000 = $17, so the unit cost rises even though the route is unchanged.
Compare like periods and services, because attempted deliveries may exceed completed ones.Case study
Seen in the real world.
This illustrative and entirely fictional example follows Olive Basket, an invented online grocery. Its courier quote looked cheaper than its own drivers, but missed afternoon hand-offs caused repeat trips and spoiled goods. Olive Basket compared all-in cost and on-time completed deliveries by neighbourhood. It adjusted customer time windows and tested a smaller delivery zone before choosing a longer-term carrier agreement.
The example does not claim any actual vendor rate or city-specific performance. The lesson is to compare delivered outcomes, not only quoted cost per attempted stop. The finance team also set up a monthly report showing failed attempts, refunds for spoiled goods and support contacts beside the courier invoice. That made the true cost of each option visible and gave the owners a fair basis for renegotiating terms.
Watch out
Common mistakes.
- Treating a hub scan or failed attempt as a completed customer delivery.
- Comparing courier and fleet costs without including reattempts, support and returns.
- Promising the fastest window without modelling traffic, capacity and customer value.
Questions
People also ask.
Does last mile always mean one mile?
No. It means the final distribution leg, whatever its actual distance.
Why can it be costly?
Individual stops, low density, traffic and failed attempts add time and expense.
What should a retailer measure?
All-in cost, completed on-time deliveries, failed attempts and customer experience.
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