Peak traffic versus cleaning
Peak foot traffic conflicts with cleaning schedules, and stains differ sharply by area — dining-floor oil is the hardest.
Shopping malls & complexes
A mall mixes open atria, multi-level corridors and oil-heavy dining floors. C5 scrubs overnight and dust-mops through the day, across floors and zones.
Typical zonesLobby floorRetail floor (per level)Dining floorRestrooms and back-of-house
The problem
Oil, dust, footfall and the hours you can clean decide the plan before a model does.
Efficiency and consistency
Low cleaning efficiency and an inconsistent floor finish, with limited flexibility in redeploying the team.
Management difficulty
An opaque cleaning process with no effective controls, which raises training and management cost.
One setup for the daily cleaning loop
The machines, the zones they cover and the records that prove what happened.
- 01Lobby floorDust mop by day, scrub at night4 passes/dayC5
- 02Retail floor (per level)Dust mop by day, scrub at night3 passes/dayC5
- 03Dining floorContinuous scrubbing3 passes/dayC5
- 04Restrooms and back-of-houseWet moppingOn demandC2
Zone-based tasksZones scheduled by frequency
Digital managementTasks, coverage and anomalies stay traceable
Our approach
Three choices that change how the site runs.
Night scrub, daytime dust mop
A full overnight scrub plus all-day dust mopping lifts effective cleaning frequency and improves quality.
Across floors and zones
Elevator integration enables seamless cross-floor and cross-zone cleaning.
Dining floors handled properly
Continuous scrubbing with cleaning agent removes oil while collecting debris, leaving no residue.
Zone-by-zone plan
Zone by zone, in the order the site actually runs them.
Before and after
The same work, before and after, on the metrics that matter to this site.
| Metric | Manual cleaning | With BRAWN robots |
|---|---|---|
| Manual cleaning load | Multiple manual passes per zone | Continuous coverage with fewer manual passes |
| Daily cleaned area | Limited by available staff | Over 8,000 m² per day |
| Working hours | Daytime work disturbed by customers | Overnight scrub plus daytime mop |
| Customer perception | Manual cleaning visible to shoppers | Robot operation lifts the venue image |
Comparison figures are typical-scenario estimates from the solution handbook, not client measurements.
How it is delivered
From the first survey to a running fleet: the same four steps on every project.
Site survey
A walk-through of areas, surfaces, obstacles, lift and access-control conditions, plus the plumbing available for a docking station.
Configuration and estimate
Model mix, zone plan, cleaning frequency and consumable estimate. A labour comparison is included only when the customer supplies a reliable baseline; the current answer set has no verified before-and-after labour case.
Deployment plan
Staging plan, charging and docking positions, network and lift integration scope, and a training schedule for the operating team.
Remote diagnosis
The cloud platform reports equipment status and faults, and self-check covers sensors, motors and the main controller. Partners receive remote technical support for genuine product faults; site-network, water or drainage problems remain site responsibilities.
Deployed projects
No published case for this scenario yet
We can still run a sizing estimate for your site, and arrange a visit to a comparable project where the client agrees.
Adjacent scenarios
The next scenarios in the line.
