Ask any delivery operation where its money actually goes and the honest answer is almost always the same: the last mile. Trucks leave the depot full and efficient, and then it all unravels at the end — one driver zig-zagging across a neighborhood, doubling back for a stop they rolled past twenty minutes earlier, idling outside an address that doesn’t open until noon. Last mile route optimization is the work of squeezing that final leg down to the least driving, the fewest miles, and the most stops actually served. I spent two decades building optimization models for exactly this kind of problem, and I eventually turned one of them into a free tool. Here’s why the last mile is so stubborn, and how a solver beats a map every single time.
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