We delivered an AI turnover commander for a family-run vacation-rental company with 38 homes on Isle of Palms and Folly Beach — one that runs every Saturday changeover like a flight operation, dispatching cleaners the moment a guest checks out, routing maintenance ahead of check-ins, and catching problems before the next family pulls into the driveway

Every Saturday in July, this family-run vacation-rental company faces the same math problem: 38 homes across Isle of Palms and Folly Beach, checkout at 10 a.m., check-in at 4 p.m., and six hours to turn all of them with four cleaning crews, two maintenance techs, and a co-owner who spent her whole weekend as a human dispatcher — phone in one hand, a laminated spreadsheet in the other, triaging texts like "the Palm Court house has a broken ice maker" against "crew two is stuck behind the Ben Sawyer Bridge." The failure mode was never laziness; it was sequencing. A crew would drive to a house where guests had late-checked-out, lose forty minutes, and the cascade would land on some family from Ohio standing in a hot driveway at 4:30 with a car full of beach gear. We built the company an AI turnover commander that treats Saturday like a flight operation. It reads the smart-lock and booking data as guests actually leave — not when the calendar says they should — and re-sequences the crews in real time, sending each one a live run order with drive times that respect the two bottleneck bridges every islander knows to fear. When a departing guest's checkout survey or a cleaner's photo flags a problem — a tripped breaker, a clogged AC drain line, a missing grill tank — the commander classifies it, decides whether it blocks the 4 p.m. check-in or can wait until Monday, and dispatches the right tech with the right part before anyone has to make a judgment call from a moving car. It also writes the guest-facing messages: the family arriving at the ice-maker house got a note at 1 p.m. — honest, warm, with a bag of ice waiting in the freezer and a promise of the repair by morning — instead of discovering the problem themselves at 6. Four Saturdays in, the numbers tell the story: on-time check-in readiness went from 71 percent to 97, the co-owner's Saturday phone traffic dropped from over two hundred texts to under thirty, and the crews — who were skeptical — now say the run orders feel like someone finally did the thinking before handing them the list. The part the owners keep repeating is quieter: for the first summer in nine years, they ate lunch together on a Saturday. The spreadsheet is still laminated. It hangs on the office wall now, as a souvenir.