Inn-Flow's Labor Models let you use hotel-specific metrics to build the most optimized schedule – one that ensures you meet or stay under your budgeted hours. A labor model defines exactly how and when to schedule each position, and Inn-Flow supports six model types that together cover hundreds of use cases.

This article gives an overview and a simple example of when to use each model type. Once you understand each model and its use case, we recommend reading the Setting Up Labor Models article for detailed setup instructions.

A simple model that lets you set specific hours and minutes for each day of the week for a position.

Example use case – Front Desk Agents: A hotel typically sees higher check-in and check-out volume on weekends. With a DOTW model, additional Front Desk Agents can be scheduled automatically Friday through Sunday, with fewer staff on quieter weekdays.

This model budgets hours and minutes for a whole department based on specific accounting chart of accounts. You can then add employees to the schedule precisely based on Inn-Flow Forecasts. When selecting this budget type, you specify the Display Name shown on the Forecast page.

Example use case - Restaurant Servers: Server staffing correlates closely with expected revenue. With a Factor of Revenue model, the hotel forecasts restaurant revenue daily and schedules additional servers proportionally on higher-revenue days or during peak dining hours.

Similar to Factor of Revenue, but you can choose any metric (statistic) to calculate scheduling needs. Statistic examples include Arrivals, Comp Rooms, and Rooms Occupied.

Example use case – Bell Staff or Valet Services: Staffing often depends on arrivals and departures. With a Factor of Statistics model, staffing flexes directly with the forecasted number of arrivals and departures, automatically increasing staff when heavy patterns are anticipated.

A more advanced model based on the time it takes to clean a room at a specific service level (such as Arrivals, Refreshes, Departures, and Deep Cleans). You specify the hours and minutes to schedule for each service level. MPOR helps you optimize scheduling and precisely control the biggest portion of your labor costs.

Example use case – Housekeepers: Housekeeping labor is tied directly to room occupancy. With an MPOR model, teams are staffed based on forecasted stayovers, departures, and deep cleans – ensuring enough labor to meet cleaning standards without over-scheduling.

The most popular labor model, because it lets you control and predict scheduling needs across several thresholds of occupancy or another statistic. Inn-Flow customers tend to save the most money and stay well under budget using this model.

Example use case – Breakfast Attendants or Hosts: Breakfast attendance varies significantly by occupancy range. With a Range of Statistics model, occupancy between 0–30% may need one attendant, while higher ranges (31–60%, 61–100%) automatically schedule additional breakfast staff.

Similar to Range of Statistics, but based on ranges of revenue numbers rather than a specific metric.

Example use case – Banquet and Event Staff: Banquet labor depends heavily on event revenue. With a Range of Revenue model, when banquet revenue falls into a certain range, an appropriate number of banquet servers, setup crews, and bartenders is automatically scheduled to match anticipated demand.

Now that you understand Labor Models and how they are used in Inn-Flow, learn the details in the Setting Up Inn-Flow Labor Models article.