Every stop in {{ city.name }}. One phone.

Maya starts at seven with fifty-three items behind forty-one stops — a spreadsheet import, then one tap to put the day in order. A warehouse drop that would’ve been six separate stops lands as one — one door, one swipe, done. The plan already knows her real pace — about twelve minutes a stop, learned from her own days, not a generic guess — so the finish time on the label actually means something. Coffee at ten, five minutes, her call; the route just keeps counting from wherever she left off. By early afternoon a stop runs long: "Running behind" is the honest read, seventeen minutes, with a new finish time to match. She asks NaviRun AI if she can still make 5:30 — not quite, at this pace, but close — so she taps "Reorder," and everything still ahead of her re-sequences around where she actually is. Second coffee at three, a tracking link still updating for the final few stops. Proof at the last door, done a little after five: forty-one stops, fifty-three items, 81 miles, nothing left for tomorrow.

Jack starts at seven, the truck loaded for six morning drops — a sectional, two dressers, a load of home-office furniture for a downtown suite. Nothing here moves in one trip: twenty minutes at the curb is normal, not the five a parcel takes, and the plan already knows it. A note on the label says which stairwell; a signature closes out the stop, same proof as anything else on the route. Each customer gets an email the moment their stop is locked in, a live link so they can watch him get closer instead of guessing. Stop four is a pickup, not a drop — an old sectional hauled out for donation, logged the same way as anything coming off the truck. Back at the warehouse by noon, he reloads for the afternoon: five more stops, mostly delivery, one install that needs the truck backed onto a driveway. The app re-optimizes the second half fresh, same as the first. Second route, same rules, done by six: eleven stops, fourteen pieces, fifty-two miles, two loads on one truck.