GAUSIUM
Contact usBook a demo
Solutions / Hospitality

BUILT AROUND YOUR SPACE

Hotel & hospitality
auto cleaning solutions.

Build floor care around guests, service periods and the character of each space.

01 / THE CHALLENGE

Challenges Facing Hospitality Facilities

01

Guest experience

Choose cleaning windows that suit arrivals, meetings and overnight stays.

02

Different floor finishes

Map where carpet care ends and hard-floor cleaning begins.

03

Event turnover

Review routes after furniture and seating arrangements change.

04

Team capacity

Separate floor coverage from room servicing and detailed presentation work.

02 / YOUR ENVIRONMENT

Characteristics of Hospitality Scenarios

Hotels combine carpeted corridors, busy lobbies, dining furniture and multiple floors. Guest comfort is central to the deployment plan.

  • Lobby: evaluate circulation and entrance dirt.
  • Guest corridors: assess noise and access windows.
  • Event spaces: inspect the layout after each reset.
  • Lift lobbies: confirm access arrangements between levels.
Hospitality environment illustration
Illustrative hospitality environment. Deployment is planned around your actual facility.

03 / A PRACTICAL CLEANING PLAN

How Gausium’s autonomous cleaners can help

01

A repeatable routine

Schedule repeatable floor tasks around the hotel timetable.

02

Match the task to the floor

Select vacuuming or wet cleaning for each floor finish.

03

Support your cleaning team

Keep staff available for detailed guest-facing presentation.

04

Validate the result

Agree the cleaning area, completion window and inspection criteria before a trial. Record interventions and service time as well as floor coverage.

Confirm routes, cleaning methods and access arrangements during a site assessment. Configuration, accessories and available operating time affect the final recommendation.

COMPARE YOUR CLEANING OPTIONS

Automated vs traditional hospitality cleaning

Compare the people time and operating costs needed to deliver the same cleaning scope and standard. Adjust the assumptions to reflect your facility.

Illustrative planning example — not a quote or measured customer result. The starting figures below are assumptions, not Gausium prices or guaranteed performance. Validate the cleaning schedule and staff involvement through an onsite trial.

Fixed planning assumptions: 30 minutes of staff support per cleaning day and AUD 3,500 in annual robot non-labour operating costs. Robot support time includes preparation, emptying, refilling, routine checks and manual touch-ups. Non-labour costs should include maintenance, consumables, energy and any recurring fees. Net upfront investment includes equipment and deployment, less any avoided traditional equipment purchase. Use a consistent GST basis.

Annual labour hours released1,050 h87.5% less direct labour time
Annual operating cost savingA$38,50080.2% lower annual operating cost
Simple payback1.6 yearsNet upfront investment ÷ annual saving
Annual comparisonTraditional cleaningAutomated cleaning
People time1,200 h150 h
Labour costA$48,000A$6,000
Non-labour operating costsA$0A$3,500
Total operating costA$48,000A$9,500
How to interpret the comparison

Labour efficiency: hours released = (traditional daily labour − robot support labour) × cleaning days. The percentage shows the reduction in direct labour time, not a claim that the robot cleans the floor faster.

Annual saving: traditional labour and running costs minus robot support labour and running costs. Released time becomes a cash saving only when paid hours, overtime or contractor spend actually fall; otherwise it is capacity that can be reassigned.

Payback: net upfront investment divided by positive annual operating savings. This simple comparison excludes finance costs, depreciation, tax and residual value. It is not a full investment appraisal. Negative savings mean the assumed deployment costs more to operate.

Check the cleaning outcome: compare actual coverage, task completion, floor cleanliness and human interventions during a trial. Robot runtime, charging and servicing must fit the available cleaning window.

Validate the numbers at your facility

05 / IN THE FIELD

Related Success Cases

InterContinental Wien cleaning deployment

CUSTOMER CASE

InterContinental Wien

Explore the hotel’s Vacuum 40 and Phantas cleaning case.

Read case study

YOUR FACILITY, YOUR PLAN

See how the approach fits your site.

A case study is a starting point. Share your floor area, opening hours and current cleaning process so our Australian team can assess the right configuration.

Book a site assessment

Industry and product reference: Gausium. Recommendations require local assessment.