The day is predicted, and a move is recommended
How long this attendant takes on this clean in this room, from the last ninety days of the story; what the week will need from the store; and a recommendation every hour.
The honest version of "intelligent operations": the first model is the median.
How long a room will take
For this attendant, this kind of visit, this kind of room — the median of the last ninety days of the story, falling back to the kind and the room type, then the kind alone, then the target, with the number of cleans it rests on shown beside it: "from 41 cleans". The expected ready time of every room is on the board, and the rooms whose arrival is due before their expected ready are at risk, in amber, an hour before it matters.
A move is recommended
Every hour the prediction is re-run and kept, and where a swap would take a room off the at-risk list — move the arrival's room up the queue, give it to the attendant who is ahead — the move is recommended, in a sentence, for a supervisor to take or leave.
What the week will need
For every item the store issues, the last thirty days give a rate per room served — and for linen, per check-out and per stay-over. The manpower forecast gives the check-outs and stay-overs of each coming day; the product is the need; against what is on hand it is days of cover; and the reorder advice is written for the person who orders.