Housekeeping & Maintenance Ops · Documentation
Business Problem & Solution
The problem Housekeeping & Maintenance Ops solves in the hospitality ecosystem and how this downscaled demo proves it.
← Housekeeping & Maintenance OpsThe problem — work arrives faster than it gets assigned
Housekeeping and maintenance work arrives two ways — dispatched from on-property service triage (app 07) and as scheduled tasks — and both pile up faster than a manager can route them by hand. The bottleneck is assignment: matching each job to someone with the right skill, who is actually on shift, and who is not already buried. App 14 owns that: it turns dispatched requests and scheduled tasks into SLA-stamped work orders and auto-assigns each to the best available person.
What this demo proves — and what it simplifies
It proves the live spine: a request confirmed in app 07 emits `service.requested`, and app 14 creates and auto-assigns a work order from it — idempotently, even when 14's tab is closed. The assignment itself is deterministic and $0 (AI-assist, not a metered model): it ranks staff by skill match, on-shift status (read from app 43's published roster), and current load. It simplifies the field: there are no real staff devices or notifications — assignment, status transitions and SLA tracking are real; the dispatch to a human is stood in for and labelled.