Service Solutions
AI decision intelligence for hotels & hospitality
One view of food and beverage, purchasing, departments and cash for hotels and hospitality groups.
Demonstrations use synthetic data. Obbify is an early-stage company; we do not yet publish client results.
The challenge
Questions leaders ask
Hotels combine several businesses under one roof. Each department reports separately, and the full picture arrives after month-end.
Which outlets and departments are driving margin up or down?
Are food and beverage costs under control across outlets?
Where is purchasing spend rising, and why?
How does performance compare across properties?
Live demo
Explore the dashboard
The hospitality template of the Obbify Command Centre: a group of restaurants and a hotel company, with drill-down to each outlet. A hotel-specific demo with occupancy, ADR and RevPAR is in preparation.
Synthetic demonstration data. Not connected to live company systems.
What you see
KPIs by role
Figures shown in the demonstration. Your own KPI model is agreed with your team.
Owner / General manager
- Revenue and margin by outlet
- Covers, average check and seat utilisation
- Risks and recommended actions
Finance
- Food and labour cost
- Purchasing spend and supplier prices
- Cash and receivables
Department heads
- Food cost and wastage
- Stock cover
- Service and order accuracy
Coverage
What we cover
Shown with the hospitality template today; rooms KPIs are being added.
Hotel operations
Department performance and cost control.
Food & beverage
Outlets, banqueting and room service.
Purchasing & inventory
Supplier prices, stock cover and wastage.
Rooms
Occupancy, ADR and RevPAR — demo in preparation.
Data
What it brings together
Obbify typically connects to the systems below, or starts from structured exports. Each connection is scoped and tested with your team; none is pre-built for a specific vendor.
Property management system (PMS)Point-of-saleAccountingPurchasing and inventoryPayroll
AI explains what changed, why, and what to consider next. Recommendations stay suggestions until a named person approves them.
Next step
See it with your own questions
Book a 30-minute walkthrough of the workspace for your role and industry, on synthetic data shaped like your business.