What Your Delivery Dashboard Isn’t Telling You About Last Mile Delivery

The delivery metrics that actually warn you before a bad day happens — and how they feed back into smarter last mile delivery, route optimization, and dynamic route planning.


Most delivery teams only find out a day went badly after it’s already over — a pile of complaint tickets, a driver who ran two hours late, a customer who’s now posting about it. By then there’s nothing left to do but apologize. The businesses that stay ahead of this aren’t the ones with more drivers or bigger fleets; they’re the ones watching a handful of numbers closely enough to catch trouble before it becomes a pattern.

Here’s what those numbers actually are, and why they matter more than most dashboards let on.

First-Attempt Success Rate

This is the number that quietly drains a delivery budget. Every failed first attempt means a second trip, a rescheduled slot, and a customer who’s now less confident the second attempt will work either. Most failures trace back to the same causes: nobody home, wrong access instructions, or a delivery window the customer never actually confirmed. Giving recipients a simple way to confirm or redirect before the driver arrives — something Lastmily’s delivery-confirmation prompts are built around — pushes this number up without adding a single vehicle to the road.

On-Time Rate Against the Promise, Not the Plan

On-time delivery only means something if it’s measured against what the customer was told, not against whatever the morning’s route plan assumed. A route that finishes “on schedule” but three hours later than the promised window still reads as a broken promise to the person waiting at home. Lastmily’s dynamic ETAs update continuously as the day unfolds, so the number dispatchers track reflects the promise still standing, not the one made at 8am.

Cost and Distance Per Completed Stop

Fuel and time spent on the road only count if a delivery actually closes at the end of it. Businesses that only watch total mileage miss the real signal: cost per completed stop, which captures wasted trips, failed attempts, and inefficient sequencing all at once. Tightening this number is largely a routing problem — grouping nearby stops, matching vehicle capacity to load, and cutting empty miles between drops. Lastmily’s route optimization has helped operators cut distance traveled by as much as 18% without touching fleet size.

Support Contacts Per Hundred Deliveries

A spike in “where is my order” calls almost never means more orders — it means less visibility. This ratio is one of the cleanest early-warning signs available, since it moves before complaints ever reach a manager. When customers can see live tracking and an accurate countdown themselves, this number drops on its own; teams using Lastmily’s live tracking have seen support contact volume fall by roughly a third.

How Often Routes Need Mid-Day Rework

A route that has to be manually rebuilt partway through the day is a route that was already fragile at 8am. Tracking how often this happens — not just whether the day finished on time — shows dispatchers where the plan keeps breaking, whether that’s a specific zone, time window, or driver pairing. Feeding completed-route outcomes back into Lastmily’s dynamic route planning shrinks this number over time instead of just reacting to it shift after shift.

Numbers That Feed the Next Route, Not Just a Report

None of these metrics matter if they just sit in a monthly report. Their value is in feeding back into the next day’s plan — a completed stop becomes a data point for tomorrow’s route optimization, and a pattern of delays becomes an input for tomorrow’s dynamic route planning. Lastmily’s own data shows the impact adds up: partners running on these feedback loops have cut operational costs and emissions by up to 30%, while boosting daily completed deliveries per driver by around 30%.

Want your delivery data working for tomorrow’s routes instead of just describing yesterday’s? Start at lastmily.com.