Trading-hour pressure
Plan access around opening, deliveries and busy shopping periods.
BUILT AROUND YOUR SPACE
Retail & shopping centre
auto cleaning solutions.
Keep floor care in step with trading, deliveries and the customer experience.
01 / THE CHALLENGE
Challenges Facing Retail Facilities
Consistent presentation
Agree how entrances, aisles and checkout areas should look throughout the day.
Changing displays
Include seasonal fixtures and temporary promotions in route reviews.
Staffing and cost
Compare repeatable floor tasks with the service time your team needs elsewhere.
02 / YOUR ENVIRONMENT
Characteristics of Retail Scenarios
Retail floors combine high visitor traffic with changing layouts. Different departments may need different cleaning methods.
- Entrances: assess tracked-in dirt and mat transitions.
- Sales aisles: check clearances when shelves are restocked.
- Checkout areas: identify quieter cleaning windows.
- Shared malls: coordinate routes with tenants and security.
03 / A PRACTICAL CLEANING PLAN
How Gausium’s autonomous cleaners can help
A repeatable routine
Schedule floor routes before opening or after closing.
Match the task to the floor
Match compact cleaning equipment to aisle access.
Support your cleaning team
Reserve staff time for spills, fixtures and customer-facing tasks.
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 retail 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.
Please enter valid non-negative values within the displayed limits; cleaning days and traditional hours must be greater than zero.
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 comparison | Traditional cleaning | Automated cleaning |
|---|---|---|
| People time | 1,200 h | 150 h |
| Labour cost | A$48,000 | A$6,000 |
| Non-labour operating costs | A$0 | A$3,500 |
| Total operating cost | A$48,000 | A$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.
04 / FIND YOUR FIT
Recommended Products
Phantas
- Best suited to
- Compact spaces with mixed floor finishes.
- Cleaning functions
- Scrubbing · Vacuuming · Sweeping · Dust mopping
Mira
- Best suited to
- Mid-sized hard-floor spaces.
- Cleaning functions
- Sweeping & scrubbing · Dust mopping
Omnie
- Best suited to
- Shared hard-floor areas with varied cleaning tasks.
- Cleaning functions
- Scrubbing · Sweeping · Dust mopping
05 / IN THE FIELD
Related Success Cases
CUSTOMER CASE
Selver supermarkets
Explore the existing retail deployment case.
Read case studyYOUR 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 assessmentIndustry and product reference: Gausium. Recommendations require local assessment.