For restaurants & bars
Enter next week's expected covers and let the AI staff every service — right people on the right stations, rest rules enforced, labor cost visible — then publish straight to the team's WhatsApp.
30 days free · No credit card · Unlimited staff
Type the covers you expect per service — RosterProject suggests how many floor, bar, and kitchen-support staff each shift needs. Adjust the suggestion, then generate.
Tag who can work the bar, the pass, the floor, the host stand. The AI only assigns people to stations they're qualified for — every shift, automatically.
Minimum rest between shifts, no closing-then-opening doubles, at least one rest day in seven, contracted hours respected. Hard rules are constraints — the roster physically can't break them.
One tap formats the roster for your WhatsApp group, and every waiter, bartender and runner has a personal link to see shifts and request days off — no app, no password.
RosterProject covers the whole property — see how it handles the front desk, housekeeping and banquet casual pools. And if you roster in Hong Kong, read the Employment Ordinance rostering guide — every rule in it is enforced by the product.
You enter the covers you expect for each service — from reservations, events, or experience — and RosterProject converts them into a suggested per-station staffing level, which you can edit before generating. Demand-matched staffing means quiet shifts stop carrying Saturday's headcount.
Yes. Shifts are whatever times you define, and each person carries their own contract type — contracted hours are respected for full-timers while casuals are scheduled within their availability.
Stations are first-class: you set demand per station per shift, tag each person's skills, and the AI fills every station with someone qualified — or tells you in plain English which station can't be covered and why.
Each outlet gets its own roster and its own team page. Staff belong to their home outlet, so each venue's roster stays clean and accountable.
Set up your outlet once — or load the demo restaurant — and judge the AI on your own team.