Staff & Workforce Scheduling · Documentation
Business Problem & Solution
The problem Staff & Workforce Scheduling solves in the hospitality ecosystem and how this downscaled demo proves it.
← Staff & Workforce SchedulingThe problem — rostering against demand you can only guess
Staffing a property means committing labour cost ahead of demand you do not yet know: too few on a busy weekend and service slips; too many on a quiet midweek and margin bleeds. The manual version is a spreadsheet reconciled against gut feel, department by department. App 43 plans shifts across departments from a demand forecast, auto-rosters the week, and shows the owner what it costs — turning rostering into an explainable, adjustable solve rather than a guess.
What this demo proves — and what it simplifies
It proves the cross-app coupling: the roster app 43 publishes is the same roster app 14 reads to prefer on-shift staff when it auto-assigns work — scheduling and operations share one source of truth, not two. It simplifies the model: the `forecast` stage is a SIMULATED metered call that refines seeded demand into a recommended headcount (with a weekend lift) and writes a cost row. The roster solve and the labour-cost calculation are deterministic and $0; only the forecast inference is stood in for, and it is labelled.