Hotel Twin

See live usage of rooms, gym, pool, restaurant and more, so you can deploy staff and services with confidence. The Hotel Twin can integrate data from your CCTV system, access control, occupancy sensors and other systems into a single real-time view. This gives your staff and management team a comprehensive picture of what is happening property-wide at an y given moment. This single pane of glass is invaluable for coordinating operations.

This shared view allows you to consolidate resources, for example, identifying when two departments can share staff or when facilities can be cleaned or closed together, streamlining both labor and utility use.

For example, if the platform shows an unusually large number of locals swiping into the gym on a Saturday morning, the front desk can be alerted to potentially direct hotel guests to alternate times or ensure the pool has adequate staffing.

In essence, the digital twin breaks the “departmental silos” and allows the hybrid hotel to operate as one cohesive unit, with decisions based on the total flow of people and usage on site rather than each department acting on its own limited data.

Connect member, guest, and visitor behavior to drive smarter, targeted offers across services. A key benefit of the hybrid model is the opportunity to cross-sell, but that is only realised if you have the insights into customer behaviour.

With integrated data, marketing can be much more targeted – for example, the digital twin could flag that this week’s hotel occupancy is low but the gym usage is high; the sales team could then push a last-minute “stay Friday night after your gym session” deal to members.

The Hotel Twin provides the insights to connect the dots between different services, enabling tailored promotions and packages that increase total revenue per customer.

Track underused spaces and adjust layouts to better serve guests and members alike. You have many types of spaces: guest rooms, fitness areas, studios for classes, meeting rooms, lobbies, restaurants - and their usage can evolve over time. The Hotel Twin tracks which areas are consistently underutilised versus overutilised. This allows you to make data driven decisions on the best allocation of space for your specific demographic.

In fact, the Hotel Twin's spatial intelligence can reveal “hidden” usage, like members using an open reception corner as a casual meeting spot, indicating where the hotel might officially support a function (e.g. set up a proper seating area or coffee station).

By ensuring every area in the property is put to its best use, the hybrid operator can squeeze more revenue out of the same square footage – a key advantage when they have so many facilities to maintain.

This insight lets you repurpose or stagger the use of underperforming spaces, reducing the operational load from cleaning to staffing without cutting guest value.

One difficulty in hybrids is providing consistent service in each area – hotel guests expect quick check-ins and responsive housekeeping; gym members expect clean facilities and available instructors; diners expect timely food service. Through a real-time view of current demand, management can align staffing across the site.

By basing staffing on integrated demand metrics, the hotel can maintain high service standards across the board without grossly over-staffing during lulls.

The Hotel Twin helps management put the right people in the right place at the right time, every day, with data to back it up.

Compare sites and standardise best practice using real usage and cost data from across your estate. Your Manchester might have peak utilisation of 80%, while Bristol only hits 50% and the data might reveal differences in class scheduling, or demographic usage patterns that one site’s management can learn from the other.

Having a digital twin deployed across properties means management can easily compare KPIs (like average daily gym usage, F&B revenue per occupied room, etc.) and quickly spot outliers.

Moreover, industry benchmarking can be layered on showing how the chain as a whole compares to industry averages for space utilisation in gyms, for example. Use these comparisons to identify where utility usage or labor hours are disproportionately high, helping you standardise cost-efficient practices across your network.