SustainMatrix for Hotels & Hospitality
Which of your hotels is really performing better?
See energy, water, waste and carbon per guest night. Take weather and occupancy out of the picture, and compare every property, department and outlet fairly.
Explore the platformThe challenge
Every property compared fairly, whatever the season.
Hotel usage rises and falls with occupancy, events and weather. On raw totals, a busy, hot month looks bad and a quiet month looks good. The properties that really need attention stay hidden.
- Energy and water per guest night and per occupied room
- Weather- and occupancy-adjusted performance
- Food waste and general waste by outlet
- Peer and portfolio comparison across properties
- Department-level hotspots: kitchens, laundry, pools, guest rooms
- Carbon reporting and decarbonisation planning
Indicators that matter
How hotels & hospitality performance is measured.
Three numbers that matter most, each with what it measures and what it is read against.
48.6kWh
Total site energy divided by occupied guest nights in the period.
412L
Metered water use, including pools, laundry and landscaping, per guest night.
0.31kg
Weighed food waste by outlet, divided by covers served.
- Read against
- Compared against a baseline adjusted for degree days and occupancy, and against comparable properties.
- Read against
- Tracked by area where sub-meters exist, so leaks and irrigation changes are visible early.
- Read against
- Separated from general waste so kitchen and buffet initiatives can be evaluated on their own.
How it works for Hotels & Hospitality
From records to decisions.
A governed sequence, with people reviewing every AI-assisted step.
- 01
Capture
Utility bills, meter readings, waste records and occupancy data, each linked to its source.
AI-assistedHuman-reviewed - 02
Normalise
Consumption per guest night and per occupied room, with degree-day and occupancy drivers.
- 03
Compare
Properties against their adjusted baseline, comparable hotels and the rest of the portfolio.
- 04
Act
Department hotspots ranked by gap, with initiatives tracked as estimated, measured or verified savings.
Performance intelligence
A busy summer is not a bad month.
An adjusted baseline is what a hotel would have used given this month’s weather and occupancy. Comparing against it judges each property on what it controls.
ReadBars are what each month used. The band is what the hotel should have used, given that month’s weather and occupancy.
Judge each month on what the hotel controls.
Monthly energy per guest night against a baseline adjusted for degree days and occupancy. Months above the band are flagged.
General managers see real underperformance, not seasonal noise.
Adjustment needs at least a year of reliable data. Not every reduction is an efficiency gain.
Relevant capabilities
The platform, applied to your operations.
The same governed engine across sectors, configured with the indicators and comparisons you need.
Energy management
Consumption by property, system and period, normalised per guest night.
Water management
Use and intensity by area, with unusual patterns flagged.
Waste and food waste
Streams by outlet and contractor, with diversion and food waste per cover.
Peer and portfolio benchmarking
Like-for-like comparison against comparable properties and your own group.
Carbon accounting
Scope 1, 2 and 3 for each hotel and the group, in line with the GHG Protocol.
Decarbonisation planning
Targets and pathways linked to measured property performance.
What changes
Outcomes your teams will notice.
Fair property comparison
General managers are measured on what they control, not on the season.
Less reporting effort
Group sustainability figures come from one dataset instead of property spreadsheets.
Clear operational priorities
Engineering teams see which kitchens, laundries and plant rooms carry the largest gap.
Credible group targets
Reduction plans rest on adjusted performance, not on one good year.
Questions
Common questions from hotels & hospitality teams.
How are weather and occupancy taken into account?
Consumption is modelled against drivers such as degree days and occupied rooms, where enough history exists. The difference between actual use and that adjusted baseline is reported as performance; the rest is shown as the effect of conditions.
Can properties of different sizes and categories be compared?
Yes, through intensity indicators such as kWh per guest night and per occupied room, and by comparing properties with similar services, climate and operating patterns. Comparisons always state the conditions they rely on.
Does each hotel enter its own data?
Property teams can enter and approve data for their own hotel, while the group sees consolidated results. Bills and records are kept with each figure as evidence.
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