Last-mile is the expensive mile
Last-mile delivery has become the most expensive part of the shipping chain by a wide margin. It now accounts for roughly 53% of total shipping costs, up from about 41% in 2018, even though it covers the shortest physical leg of a package's journey.
For a mid-sized fleet of around 50 vehicles, avoidable inefficiency, unplanned breakdowns, SLA penalties, failed redelivery attempts, excess fuel from bad routing, driver turnover, and compliance violations, typically adds up to $1.1 million to $1.4 million a year, according to delivery operations research published in 2026.
The cost of a failed first attempt
Failed first-attempt deliveries are a large piece of that. Estimates for first-attempt failure rates run from roughly 5% up to 8 to 10% depending on the study and the delivery type, and each failure costs somewhere between $17 and $18 on average once you count the wasted driver time, fuel, and dispatch overhead of a second attempt. That doesn't include the compounding cost: close to a third of customers say they won't reorder after a failed delivery.
Catching failures before they happen
This is precisely the failure mode ATLAS's order-risk model was built to catch before it happens rather than after. The same features that predict a food order going wrong, driver history, live traffic, time-of-day, zone congestion, translate directly into predicting a failed delivery attempt: which stops are at risk of a missed window, which routes are running into congestion that will cascade into late deliveries down the line, which drivers are trending toward an SLA breach on today's route.
Merchant running 22 min behind · driver below-avg on-time here
Peak-hour load · high-value order
Nominal · driver on-time rate strong
A zone model for route density
The zone model does something courier networks specifically need and mostly lack: a way to reason about driver load and route density at a level above the individual stop. Instead of a dispatcher managing capacity stop-by-stop, ATLAS's zone rail shows supply-to-demand ratio and active-versus-baseline load per delivery sector, the same view that already flags under-supplied zones in food delivery. For a courier network, that becomes the tool for balancing driver load and managing route density before a sector starts missing windows, not after.
Live KPIs, not month-end reconstruction
The DCC's live view of ongoing, pending, and late-or-unassigned counts maps onto exactly the KPIs the industry is already trying to hit in 2026: first-attempt success rate, on-time delivery rate, cost per delivery. The difference is having those numbers live and per-zone instead of reconstructed at month-end from three carrier invoices.
