Stop Wasting Fuel: The One Route Change That Saves Small Teams Thousands

Jan de Vries · 2026-07-13

The last mile now eats up 53% of total shipping costs, up from 41% in 2018. For a two-van operation, that figure hits your bottom line every single day. The difference between a route that finishes by 3 p.m. and one that drags past dark, burns an extra tank of gas, and pushes a driver into overtime often comes down to one planning decision. Small teams feel this pain faster than large carriers do, because they don't have a fleet of trucks to absorb a bad plan. Most small delivery operations still build routes by hand. A dispatcher looks at the day's stops, groups them by rough geography, and hands each driver a list. That method works fine until the stop count climbs past a dozen. After that, the human brain stops finding the shortest path and starts defaulting to the order the addresses were entered. It's like trying to solve a puzzle with too many pieces. ### The Real Cost of a Hand-Built Route Two numbers explain why manual planning gets expensive fast. 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 you never get 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. It's like using a calculator instead of your fingers. 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 tied to about $300 million in annual savings. That's not just a big-company story—it proves the math works. ### Mapping Software in a Small Operation A small fleet doesn't need a custom system built by a logistics department. You need a tool that imports a list of addresses, plots them, and returns a drivable order. That's the practical role of mapping software for a team that runs anywhere from two to twenty vehicles, alongside the spreadsheets and printed manifests you already use. Its job is to replace the guesswork in sequencing while leaving the rest of your 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 you set constraints like 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 you 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 looks shortest on paper can fall apart in real-world traffic. ### Putting It All Together - Start by tracking your current route times and fuel costs to see the baseline. - Test a mapping tool with a single driver for a week to compare results. - Look for tools that let you set depot start, return points, and time windows. - Check geocoding accuracy before committing—bad address placement can ruin your savings. The bottom line: small teams can't afford to waste miles. A good route planning tool pays for itself in fuel and labor savings within months. It's not about fancy algorithms—it's about making sure every mile your drivers travel delivers value.