Commercial sites
Cleaning and service robots for malls, business centers, airports, hotels and other high-footfall sites: daily floor cleaning, upkeep and quality control. Start from two robots, with no downtime for the site.
- Where it fits
- Malls · offices · airports · hotels
- Start
- From 2 robots
- Integration speed
- Medium
- Cycle to launch
- From 2 months
CAM·01 · SERVICE FLOOR23.13°N · 113.26°E · GUANGZHOUSRV-FLEET · REV.2026
Where this package actually helps
Four typical challenges in this segment — and what changes on the client side once the package is in place.
- Challenges · 01
For many commercial properties, cleaning is a notable recurring operating-expense line. Particularly painful in the UAE and major CIS cities due to staff shortages.
Solutions · 01We close 70—85% of flat surfaces with robot routes. Manual cleaning stays only for restrooms, stairs and complex zones — far fewer people needed there.
- Challenges · 02
Cleaning quality degrades on night and early shifts. No visibility into actual output without cameras and walkthroughs.
Solutions · 02We remove the shift-quality variance: robots run a fixed route at constant pressure and water dose. Quality stops depending on shift, operator experience or night supervision.
- Challenges · 03
Seasonal peaks — opening, events, leasing — require emergency expansion of the cleaning team.
Solutions · 03We close any seasonal peak with the same configuration — no emergency hiring. Cleaning OPEX becomes predictable and stops growing season after season.
- Challenges · 04
Quality control and reporting: management needs to see the site cleaned consistently and to schedule, not rely on walk-rounds and complaints.
Solutions · 04Every cleaning cycle is logged automatically — area, route, water and detergent use. Audit-ready quality reporting for the management company and tenants, including ESG metrics where required.
REV.2026 · NODE GZ-01
What it looks like in practice
Two illustrative scenarios — the order of investment, timeline and effect. Figures are indicative; a precise estimate for your site is in the calculator below.
FRAME · 01Inputs
~12,000 m² office building, night cleaning, rising cleaner rates and turnover.
What we deploy
- 2 cleaning robots (scrub/dry floor)
- Charging stations
- Operator training, reporting
On-site launch
≈ 3 weeks
Effect & payback
~70% of hard floors automated, stable quality and reports. Payback ≈ 14–18 mo.
FRAME · 02Inputs
~40,000 m² mall, large open areas, high daily footfall.
What we deploy
- 4 large scrubbers
- Dispatching and zones
- Cleaning-team training
On-site launch
≈ 5 weeks
Effect & payback
Daily cleaning of large areas with no extra headcount. Payback ≈ 16–20 mo.
REV.2026 · SAMPLE 2/2
What's in the package
A ready-made configuration for the task — no separate sourcing and no grey areas of accountability: equipment, integration, training and service at launch assembled as one system.
M·01Cleaning robots
SCRUB · VACUUM · UP TO 3,000 M²/H
M·02Charging infrastructure
AUTO-DOCK · CHARGE · WATER
M·03BMS integration
ZONE SCHEDULES · ELEVATORS · REPORTS
Cleaning robots
Pudu CC1, Gausium Phantas, Scrubber 50 — picked against surface types and area.
Charging infrastructure
Charging stations in off-hours zones. Power sizing and supply on our side.
BMS integration
Connection to the building management system. Cleaning logs, water and detergent consumption, schedule — in the dashboard.
Cleaner training
Training for the cleaning service and the building manager. Refill protocols, common faults, cleaning-quality reporting.
Service and consumables
Service support and consumables stock (brushes, filters, detergents) on-territory.
- M·01
Cleaning robots
Pudu CC1, Gausium Phantas, Scrubber 50 — picked against surface types and area.
- M·02
Charging infrastructure
Charging stations in off-hours zones. Power sizing and supply on our side.
- M·03
BMS integration
Connection to the building management system. Cleaning logs, water and detergent consumption, schedule — in the dashboard.
- M·04
Cleaner training
Training for the cleaning service and the building manager. Refill protocols, common faults, cleaning-quality reporting.
- M·05
Service and consumables
Service support and consumables stock (brushes, filters, detergents) on-territory.
REV.2026 · 05 MODULES
How rollout runs
From kickoff to handover — five linear stages. Each one delivers a concrete output, names the accountable side, and has a stated duration. Total budget, exact dates and the risk register are locked in the contract.
- 01/053—5 days
Building audit
Area survey, surface types, power layout, BMS requirements.
Lead · Nexum CN + facility-management representative
▣ Stage deliverablePer-floor cleaning zone map + power-supply calculation
- 02/053—4 weeks
Sourcing and procurement
Model selection against surfaces, OEM batch procurement at Pudu and Gausium, factory acceptance.
Lead · Nexum CN + OEM
▣ Stage deliverableFAT report + surface-compatibility protocol for the site
- 03/052—4 weeks
Delivery and customs
Delivery to the client's country, customs clearance, certification under local requirements.
Lead · Logistics operator + Nexum
▣ Stage deliverablePacking list + local compliance certificates
- 04/051—2 weeks
Installation and mapping
Charging station install, cleaning routes per floor, BMS integration.
Lead · Nexum field engineers on-site
▣ Stage deliverablePer-floor routes + working BMS integration
- 05/051 week
Training and go-live
Cleaner training, full-volume trial shift, switch to steady-state operation.
Lead · Nexum + client operations director
▣ Stage deliverableCertified cleaning crew + acceptance protocol
REV.2026 · 05 STAGES
Pudu and Gausium clean China's business centers, malls and airports
For office centers and malls in CIS and UAE we'll source the same class of equipment matched to surfaces and floor area.
Office towers in China
- Scale
- Network of business centers
- Robots
- Gausium Phantas
Public cases of day and night cleaning of floors and carpet in office buildings: robots hold consistent quality and take routine off the cleaning crew. Volumes — per operator data.
Wanda Plaza malls
- Scale
- Network of sites in China
- Robots
- Gausium Phantas
Per public industry reviews — reduced manual cleaning load and stabilised cleaning quality through automated regimes.
Shenzhen Airport
- Scale
- Terminal T2
- Robots
- Gausium Scrubber
One of the public reference cases for hard-floor cleaning automation in between-flight windows. Scope of automation — per operator data.
Manufacturer reference cases from public sources and industry reviews. Specific figures depend on the site and are confirmed by a calculation after audit.
REV.2026 · REF 3/3
Payback on your inputs
Enter your inputs — get an estimated payback period. Final proposal is prepared after a short audit.
Your inputs
Floors, hard surfaces
Across all shifts
Per hour, USD
Result
- Package cost (estimate)
- 5 ×$120,000
- Annual saving
- $92,000
- Payback period
- 1.3 yr
Indicative calculation. In Simple mode it captures direct labour-cost effect; Advanced additionally adds error losses, revenue uplift and operational effects. A full proposal is prepared after a short audit of your site.
Numbers locked in
Save this scenario — we'll prepare a proposal
We tailor a commercial proposal to your site and reply within one business day, in your timezone.
REV.2026 · CALC LIVE
Request a quote for the “Commercial sites” package
Initial response — usually within one business day. Preliminary configuration and budget — after we clarify the site parameters.
REV.2026 · INTAKE