Fresh Mango Robotics

Who we help

21 types of organisation, one recurring problem

Different buildings, different customers, same story: too much repeatable work and not enough people willing to do it. Find your operation below and see exactly where robotics fits — the pressures, the tasks it takes on, and what changes as a result.

At a glance

Fresh Mango Robotics supplies commercial robots to hotels, restaurants, care homes, retirement villages, hospitals, schools, colleges, universities, warehouses, distribution centres, manufacturing sites, offices, business parks, shopping centres, retailers, garden centres, gyms, leisure centres, facilities management companies, cleaning contractors and property managers throughout the UK.

Category

Hospitality & leisure

High-footfall, guest-facing operations where service speed and visible cleanliness directly affect revenue and reviews.

Hotels

Hotels run large public areas and continuous guest service with a housekeeping and portering team that is difficult to recruit.

Operational challenges
Lobby, corridor and function-space floors need an immaculate standard 24 hours a day, while porters spend shifts walking amenities and trays between floors.
Labour pressures
Housekeeping and night roles carry the highest vacancy and turnover in UK hospitality, with agency cover at a significant premium.
Cleaning & service demands
Overnight hard-floor scrubbing, daytime touch-up cleaning, and hundreds of amenity, linen and room-service journeys each week.
Where robotics helps
Autonomous scrubbers hold public-area floors overnight; lift-integrated delivery robots take amenities and room service to guest floors.
Outcomes
Consistent public-area presentation, lower agency and night-premium spend, and porters returned to guest-facing work.
Hotels in detail

Restaurants

Restaurants lose experienced front-of-house time to the highest-volume, lowest-skill task in the building: running plates.

Operational challenges
Peak service needs runners that midweek trade cannot justify, and the closing shift carries an hour of manual floor cleaning.
Labour pressures
Front-of-house turnover regularly exceeds 70% a year, and late closing shifts are the hardest to staff.
Cleaning & service demands
Hundreds of pass-to-table journeys per service plus a nightly hard-floor clean to maintain the hygiene rating.
Where robotics helps
Delivery robots cover pass-to-table running and clearing; a compact scrubber cleans the dining room after close.
Outcomes
Faster table turn, higher spend per head, shorter closing shifts and less agency reliance.
Restaurants in detail

Leisure centres

Leisure centres have to clean wet areas, sports halls and concourse with almost no closed window.

Operational challenges
Extended opening removes the overnight cleaning slot while wet-area slip risk demands frequent attention.
Labour pressures
Early-morning and overnight cleaning shifts attract the smallest applicant pool of any role on site.
Cleaning & service demands
Frequent wet-and-dry cleaning of changing areas and poolside surrounds, plus large hall turnarounds between bookings.
Where robotics helps
Scheduled autonomous scrubbing of halls, concourse and changing-area circulation, running safely during opening hours.
Outcomes
Evidenced cleaning for local-authority contracts, reduced slip risk and reliable standards without unfillable shifts.
Leisure centres in detail

Gyms

Gyms lose members over cleanliness more than almost any other operational factor.

Operational challenges
24-hour opening means no closed period, and studio and corridor floors soil fastest at the busiest times.
Labour pressures
Unsociable-hours cleaning roles have high turnover, so the standard depends on whether the shift was filled.
Cleaning & service demands
Multiple daily cleaning cycles across studios, corridors and changing areas, evidenced for franchise audits.
Where robotics helps
Robots run studio and circulation floors between classes and overnight, logging coverage for every run.
Outcomes
Cleanliness that no longer varies with the rota, protected member retention and standardised multi-site quality.
Gyms in detail

Garden centres

Garden centres combine a large retail floor, a busy café and constant soil ingress from outdoor plant areas.

Operational challenges
Compost, grit and water are tracked in all day, and the spring peak doubles footfall without doubling staff.
Labour pressures
Seasonal recruitment for a 10–12 week peak is expensive and often unsuccessful in rural catchments.
Cleaning & service demands
Repeat daytime cleaning of concourse and glasshouse floors plus weekend café service at high covers.
Where robotics helps
Wet-and-dry scrubbers run short repeat cycles through trading hours; a DINERBOT covers café food running.
Outcomes
Lower slip-claim exposure, café service speed maintained at peak and fewer seasonal hires needed.
Garden centres in detail

Category

Health & social care

Regulated environments where cleaning consistency is evidenced and every hour of clinical time matters.

Care homes

Care homes carry rising staff costs against fixed fee income, with ancillary roles the hardest to fill.

Operational challenges
When domestics are short, carers absorb trolley runs and cleaning — time taken directly from residents.
Labour pressures
Adult social care vacancy rates run far above the UK average, with agency the largest controllable cost line.
Cleaning & service demands
Documented IPC-grade cleaning of communal hard floors plus continuous meal, linen and supply transport.
Where robotics helps
Scrubbers hold corridor and dining floors on schedule; BUTLERBOT moves meals, linen and supplies between floors.
Outcomes
Carer hours returned to care, lower agency spend and cleaning evidence ready for inspection.
Care homes in detail

Retirement villages

Retirement villages run hotel-scale communal facilities with a lean site team and independent residents.

Operational challenges
Long circulation routes, restaurants, gyms and lounges must be maintained to a residential standard across a large estate.
Labour pressures
Site teams are small and multi-skilled, so cleaning competes with maintenance and resident services for the same hours.
Cleaning & service demands
Daily hard-floor cleaning of long corridors and communal areas, plus food service in on-site restaurants.
Where robotics helps
Autonomous scrubbers cover corridors and communal floors overnight; delivery robots support restaurant service and internal transport.
Outcomes
Consistent estate presentation, lower reliance on agency cleaning and more site-team time for residents.

Hospitals

Hospitals move enormous volumes of meals, linen and supplies through corridors that must stay clinically clean.

Operational challenges
Portering demand is constant and unpredictable, and cleaning standards are subject to formal audit.
Labour pressures
Portering and domestic vacancies are persistent, with bank and agency cover expensive.
Cleaning & service demands
Repeatable, evidenced cleaning of corridors and non-clinical areas plus continuous internal transport.
Where robotics helps
Lift-integrated delivery robots take routine transport journeys; scrubbers cover long corridor runs on schedule.
Outcomes
Porter capacity released for urgent and clinical tasks, with documented cleaning coverage for audit.
Hospitals in detail

Category

Education

Cleaning-intensive sites with fixed budgets, short turnaround windows and hard-to-recruit part-time teams.

Schools

Schools must clean the whole site in a short after-hours window on a budget that does not rise with wages.

Operational challenges
Long corridors, halls and dining rooms have to be turned around daily before evening lettings.
Labour pressures
Short after-school shifts are among the hardest roles to fill and retain in the local labour market.
Cleaning & service demands
Daily hard-floor cleaning of corridors, sports halls, dining halls and atriums, plus holiday deep cleans.
Where robotics helps
Scrubbers cover the long open runs unattended while the team focuses on classrooms, washrooms and touchpoints.
Outcomes
A consistently presented site within budget, and premises staff returned to maintenance duties.
Schools in detail

Colleges

Colleges operate longer days with adult learners, evening classes and heavy circulation traffic.

Operational challenges
Extended opening compresses the cleaning window while footfall across atriums and refectories stays high.
Labour pressures
Cleaning teams are part-time and turnover is high, so cover gaps are frequent.
Cleaning & service demands
Frequent cleaning of atriums, refectories and circulation routes, often during opening hours.
Where robotics helps
Robots run circulation and refectory floors during quiet periods and complete the deep run after close.
Outcomes
Higher cleaning frequency at no extra labour cost and a better first impression for open days.
Colleges in detail

Universities

University estates are effectively small towns — libraries, lecture blocks, halls of residence and catering.

Operational challenges
Estate scale makes consistent standards across buildings difficult, and 24-hour library access removes closed windows.
Labour pressures
Large in-house or contracted cleaning teams face constant recruitment churn across multiple buildings.
Cleaning & service demands
High-frequency cleaning across large hard-floor areas with evidence for estates reporting.
Where robotics helps
Large-area scrubbers cover libraries, atriums and lecture-block corridors; run data feeds estates reporting.
Outcomes
Standardised cleaning quality across buildings and a predictable, budgetable cost per site.
Universities in detail

Category

Warehousing, logistics & manufacturing

Large hard-floor estates where cleaning is the first thing cut and internal transport eats productive time.

Warehouses

Warehouses have too much floor for the cleaning team and too much walking in the pick operation.

Operational challenges
Manual scrubbing of large aisle areas takes a full shift and is redeployed to picking the moment volume spikes.
Labour pressures
Transport and storage roles show high vacancy and turnover, with peak agency labour expensive and untrained.
Cleaning & service demands
Unattended cleaning of 5,000–50,000 m² plus continuous movement of totes, cages and consumables.
Where robotics helps
Large-area scrubbers clean mapped aisles overnight; S-series AMRs move stock between goods-in, pick face and dispatch.
Outcomes
Floor condition held through peak, cleaning cost fixed, and a higher effective pick rate.
Warehouses in detail

Distribution centres

Distribution centres run near-continuously, leaving almost no window for manual floor care.

Operational challenges
Multi-shift operation means cleaning must happen alongside live activity, not instead of it.
Labour pressures
Round-the-clock shift patterns make cleaning cover the hardest rota line to fill.
Cleaning & service demands
Frequent dock and aisle cleaning for dust and slip control, evidenced for customer audits.
Where robotics helps
Robots clean between waves and during quieter shift periods, with exclusion zones around active MHE areas.
Outcomes
Audit-ready floor condition without pausing the operation or adding shifts.
Distribution centres in detail

Manufacturing facilities

Manufacturing sites need controlled dust and slip risk across production and circulation floors.

Operational challenges
Production takes priority, so cleaning is squeezed into changeovers and downtime that keeps shrinking.
Labour pressures
Cleaning and facilities roles lose recruitment competition to production and engineering roles on site.
Cleaning & service demands
Scheduled hard-floor cleaning around production windows with documented frequency for audit.
Where robotics helps
Scrubbers run circulation, warehouse and non-production floor areas on a fixed schedule with mapped exclusion zones.
Outcomes
Consistent housekeeping standards, reduced slip risk and evidence for quality audits.

Category

Workplaces & retail

Front-of-house environments where floor presentation is part of the brand and cleaning happens around people.

Offices

Offices need visible cleanliness for occupier confidence with a shrinking overnight cleaning window.

Operational challenges
Hybrid working makes footfall unpredictable, so fixed cleaning contracts either overspend or underdeliver.
Labour pressures
Evening cleaning shifts are hard to fill and turnover in contracted teams is high.
Cleaning & service demands
Regular cleaning of receptions, circulation cores and breakout areas to a visible standard.
Where robotics helps
Scrubbers cover reception and circulation hard floors on a fixed evening schedule, logging coverage for the occupier.
Outcomes
Predictable cleaning cost, consistent front-of-house presentation and evidence for service reporting.

Business parks

Business parks maintain shared circulation, atriums and amenity areas across several buildings.

Operational challenges
Shared areas belong to everyone and no one — standards drift and tenant complaints follow.
Labour pressures
A small central FM team covers multiple buildings, so cleaning cover is thin.
Cleaning & service demands
Regular cleaning of shared atriums, corridors and amenity floors across dispersed buildings.
Where robotics helps
Robots take the repeatable circulation cleaning at each building, standardising output across the estate.
Outcomes
Consistent shared-area presentation and defensible service-charge reporting for tenants.

Shopping centres

Shopping centres clean vast mall floors overnight to a standard shoppers notice immediately.

Operational challenges
Mall floor area is enormous and trading hours leave a narrow cleaning window.
Labour pressures
Overnight cleaning teams are large, costly and subject to constant turnover.
Cleaning & service demands
Full mall-floor scrubbing every night plus daytime response cleaning during trading.
Where robotics helps
Large-area scrubbers cover mall floors unattended overnight while the team handles response and detail cleaning.
Outcomes
Consistent mall presentation, lower overnight labour cost and evidenced cleaning for the centre owner.
Shopping centres in detail

Retail

Retailers need clean, dry, safe floors during trading and stock moved without pulling colleagues off customers.

Operational challenges
Slip risk during trading and back-of-house stock movement both consume colleague hours.
Labour pressures
Store teams are lean, so cleaning and replenishment compete with customer service.
Cleaning & service demands
Overnight shop-floor cleaning plus back-of-house to shop-floor stock movement.
Where robotics helps
Scrubbers clean the shop floor overnight; logistics robots move totes and replenishment trolleys.
Outcomes
Colleagues on the shop floor with customers, and a safe, well-presented store at open.
Retail in detail

Category

Facilities, cleaning & property

Service providers who win and retain contracts on cost, consistency and evidence.

Facilities management companies

FM providers are asked to hold or improve standards while their own labour cost rises every year.

Operational challenges
Contracts are priced on labour hours that are getting harder to recruit and more expensive to deliver.
Labour pressures
Frontline cleaning vacancies across multiple client sites create constant service risk.
Cleaning & service demands
Consistent, evidenced delivery against contract specification at every site.
Where robotics helps
Robots take the large repeatable hard-floor areas, converting variable labour into fixed, measurable output.
Outcomes
More competitive bids, protected margin, and run-level data to evidence contract compliance.

Cleaning contractors

Cleaning contractors need to deliver specification with fewer available staff and thinner margins.

Operational challenges
Unfilled shifts mean work is completed outside specification and clients notice.
Labour pressures
Recruitment is the primary constraint on winning and delivering new contracts.
Cleaning & service demands
Repeatable hard-floor coverage at multiple sites with documented completion.
Where robotics helps
One robot per site covers the large-area scrubbing, letting a smaller team deliver full specification.
Outcomes
Contracts delivered in full, reduced dependency on agency, and a differentiator at tender.
Cleaning contractors in detail

Property management companies

Property managers answer to owners and tenants for presentation standards they do not directly staff.

Operational challenges
Service-charge scrutiny means cleaning cost and quality both have to be justified in detail.
Labour pressures
Contracted cleaning teams turn over frequently, causing visible dips in standards.
Cleaning & service demands
Consistent common-part cleaning with reporting suitable for service-charge discussions.
Where robotics helps
Robots deliver a fixed cleaning output at a fixed monthly cost, with per-run coverage data.
Outcomes
Defensible service-charge reporting, fewer tenant complaints and predictable budgeting.

Next step

Work out what this looks like for you

Industries we serveDeep-dive guides for hotels, care homes, warehouses and more.Use casesEvery application, from overnight scrubbing to autonomous transport.Problems we solveMatch your pain point to a specific solution.Pricing & RaaSBuy, hybrid or Robotics-as-a-Service — how the numbers work.

Tell us how your operation runs

A free site survey gives you a modelled business case using your own hours, rates and floor areas.

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