Plan for peaks, troughs, and everything between
Hospitality businesses live and die by seasonality, occupancy, and cover rates. Grove FP helps you model revenue around these drivers and plan labour costs with the precision the industry demands.
Pain Points
A hotel might do 90% occupancy in August and 40% in January. Flat averages produce meaningless forecasts.
Grove FP supports seasonal revenue modelling driven by occupancy, average rate, and cover counts. Build forecasts that reflect your actual revenue patterns.
Over-staffing kills margin. Under-staffing kills service. You need to plan labour costs in line with expected revenue, not just headcount.
Model labour costs as a function of expected covers or occupancy. Plan shifts, hourly costs, and tips with seasonal variation.
Each venue reports differently. Comparing performance across sites requires hours of manual data manipulation.
Grove FP standardises reporting across all sites. Compare P&L, KPIs, and variances site by site from a single dashboard.
Key Features
Use Cases
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FAQ
Yes. Grove FP supports driver-based revenue modelling. Set occupancy rates, average daily rates, or cover counts by month and season to build realistic revenue forecasts.
Each site is modelled as a separate entity with its own P&L. You can compare any two sites side by side, benchmark KPIs, and consolidate for the group-level view.
Yes. Model labour at the shift level with different hourly rates, shift premiums, and expected staffing levels. Labour costs flex automatically with seasonal patterns.
Yes. Model food and beverage COGS as a percentage of revenue or at the ingredient level. Track food cost percentage alongside revenue to maintain target margins.