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I’ve been running a small delivery route for about a year now, and lately I’ve been wondering if the way I’m loading my van is actually costing me time. I sort everything by street name, but I still find myself backtracking a couple times a morning. Maybe there’s something obvious I’m missing about organizing for the actual order of stops, not just the addresses.

That back and forth in the van is real I sort by street name too but the real time saver is the order you drive In other words plan the trip as a single route not just a list of addresses Do you think testing a route that follows the roads would cut idle minutes?

One angle is to map the day as a continuous loop on the map and load for that loop If the loop holds the same stops in one neighborhood before moving on you might dodge light backtracking and save tiny chunks of time Route optimization becomes a living habit not a static file

I hear the urge to tidy the list but your eyes can miss the flow of traffic If a few trips are close by you could group them by street cluster then finish the cluster before moving to the next to cut turning and waiting time

Skeptical take maybe the lot is you are chasing a neat map more than real gains The route may change with weather or traffic so a rigid plan could backfire If you test with real data you might see a different pattern

Reframe it as who needs what first rather than where it sits on the map If some deliveries are time sensitive or require a certain hand off you might change the order even if the addresses look close

Short practical tip keep an eye on dead head time and loops A small tweak like finishing a street then moving to the next block could save a few minutes every morning

Would you trust a plan built from day data or would you want to try a live test and compare the results?

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