The Hidden Cost of Hand-Built Routes (and How to Fix It)

Jan de Vries · 2026-07-13

The last mile now eats up 53% of total shipping costs, up from 41% in 2018. For a small team with just two vans, that number hits hard. The difference between a route that wraps up by 3 p.m. and one that drags into overtime, burns an extra tank of gas, and leaves a driver exhausted often comes down to one planning decision. Small operations feel this pain faster than big carriers because they don't have a fleet of trucks to absorb a bad plan. Most small delivery teams still build routes by hand. A dispatcher looks at the day's stops, groups them by rough geography, and hands each driver a list. This method works fine until the stop count climbs past a dozen. Then the human brain stops finding the shortest path and defaults to the order the addresses were entered. It's like trying to solve a puzzle with a blindfold on. ### The Real Cost of a Hand-Built Route Two numbers explain why manual planning gets expensive. Delivery vehicles in stop-and-go urban work average about 6.5 miles per gallon and burn close to a gallon of fuel per idling hour. Empty miles—the distance driven with nothing to deliver—reached 16.7% of all miles logged in 2024. A route that doubles back, or sends a driver across town and then back to a stop two blocks from the depot, creates both problems at once. A small team can't spread that waste across a hundred trucks. Five extra miles per driver per day, across three drivers and 250 working days, comes to 3,750 miles a year of avoidable driving. At urban delivery economy, that translates into fuel burned and hours paid that the operation never gets back. Labor is the biggest cost in last-mile work, close to 50% of the total, so every extra hour on the road is paid twice. ### The Math Behind Stop Sequencing Route planning tools solve a version of the traveling salesman problem, which asks for the shortest path that visits every stop once and returns to the start. A person can solve this for five or six stops by eye. Past that, the number of possible orderings grows too large to check by hand. A computer checks them in seconds. The savings are documented at scale. UPS built its own routing system, ORION, which evaluates more than 200,000 route options for a single driver's day before it settles on one. The company reported cutting roughly 100 million miles a year, which it tied to about $300 million in annual savings. ### Mapping Software in a Small Operation A small fleet doesn't need a custom system built by a logistics department. It needs a tool that imports a list of addresses, plots them, and returns a drivable order. This is the practical role of mapping software for a team that may run anywhere from two to twenty vehicles, alongside the spreadsheets and printed manifests a dispatcher already uses. Its job is to replace the guesswork in the sequencing step while leaving the rest of the operation alone. The setup is usually a matter of uploading a spreadsheet. Most tools accept a column of addresses, geocode them onto a map, and let a dispatcher set constraints such as a depot start point, a return point, and time windows for stops that must land in a certain part of the day. Geocoding accuracy matters here. An address placed on the wrong side of a divided highway can add ten minutes to a stop, so a tool that flags its low-confidence matches saves a driver from a wasted loop before the day even starts. ### Constraints Beyond Raw Distance A customer who only accepts deliveries before noon changes the order. A van with a weight limit changes which stops can ride together. A driver who knows that one bridge backs up at 8 a.m. has information the map doesn't. Good planning tools let a dispatcher encode these rules rather than fight them. Time windows, vehicle capacity, and required stop order become inputs the optimizer respects. Traffic is the variable that breaks a clean plan, and it's getting worse: the average American driver lost 43 hours to congestion in 2024. A sequence that is shortest on paper might be a disaster in practice. - Time windows: Some stops must happen before noon. - Vehicle capacity: A van can only carry so much weight. - Driver knowledge: Local traffic patterns matter. ### What This Means for Your Team The takeaway is simple: if you're still planning routes by hand, you're leaving money on the table. The tools exist, they're affordable, and they can save you thousands of dollars a year. Think about the 3,750 miles you could avoid driving. That's fuel, labor, and wear and tear you don't need to spend. For a small team, that kind of efficiency can make or break the bottom line.