Quality you cannot verify
Cleaning processes lack transparency and results are hard to verify; fresh areas build up dirt and risk secondary contamination.
Supermarkets & retail
Fresh produce, grains and oil areas produce dirt that spreads fast, and cleaning cannot interrupt trading. C5 finishes a full pass before opening and tops up after the peaks.
Typical zonesFresh produce areaGrains and oil areaOther trading areasBack office and small stores
The problem
Oil, dust, footfall and the hours you can clean decide the plan before a model does.
Safety and workload
Cleaning operations carry safety risks, while an ageing workforce adds health risk and management complexity.
Cost pressure
A heavy manual cleaning workload pushes up overall cost, and high turnover drives recruitment and management spend.
One setup for the daily cleaning loop
The machines, the zones they cover and the records that prove what happened.
- 01Fresh produce areaContinuous scrubbing2 full passes/day plus daytime top-upsC5
- 02Grains and oil areaScrubbing with cleaning agent1 pass before opening, 1 after peakC5
- 03Other trading areasFull-coverage scrubbing2 passes/dayC5
- 04Back office and small storesWet 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.
Sweep, scrub and dust-mop in one unit
C5 handles oil stains while efficiently collecting solid debris.
Precise edge cleaning at shelving
Deep-learning algorithms avoid shelving and goods while keeping close to the edge.
Time-segmented, zone-based work
Work avoids peak customer traffic, a full pass completes before opening, and high-sensitivity areas get extra attention.
Zone-by-zone plan
Zone by zone, in the order the site actually runs them.
| Zone | Cleaning mode | Frequency | Unit |
|---|---|---|---|
| Fresh produce area | Continuous scrubbing | 2 full passes/day plus daytime top-ups | C5 |
| Grains and oil area | Scrubbing with cleaning agent | 1 pass before opening, 1 after peak | C5 |
| Other trading areas | Full-coverage scrubbing | 2 passes/day | C5 |
| Back office and small stores | Wet mopping | On demand | C2 |
Before and after
The same work, before and after, on the metrics that matter to this site.
| Metric | Manual cleaning | With BRAWN robots |
|---|---|---|
| Manual passes (fresh produce area) | Several manual passes per day | Fewer manual passes needed |
| Coverage | Depends on staff judgement | Full pass before opening, 2 passes/day |
| Secondary contamination | Fresh areas soil again quickly | Extra scrubs after peaks |
| Process control | Results cannot be verified | Data-driven, traceable results |
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.
