Deployment blueprint
Mechanical sweepers run arterial roads at night. Litter pickers cover parks by day. Shoreline crews follow the tide. Each mode has its own labour model, tooling, and way of going wrong — and each has to be scored against the same contract framework.
Built for this scale
The challenges
Each cleaning mode matured separately, under its own contractors, tooling, and KPIs. Standardising them naively breaks the ones that were working.
Challenge
Mechanical, manual, shoreline, villa, underpass, and bulky-waste grew up under different operating philosophies and contract structures. Some have decent telemetry; some still run on radios and paper. A single process imposed across all six degrades the mature ones without fixing the weak ones.
Challenge
A litter picker walking a park for eight hours will not carry the terminal a sweeper driver has bolted to a dashboard. Any attempt to measure manual work has to meet it where it physically is, or the data quietly stops arriving.
Challenge
Plan-versus-actual has to be computed against very specific obligations per contract, and the result has to survive a contractor's challenge. Scoring that cannot be traced to evidence becomes a number nobody is willing to apply a penalty to.
Challenge
Crews work in traffic, in public parks, and on shorelines on the same day, under a strict safety regime. Periodic audits cannot demonstrate compliance for shifts that already happened without a record made at the time.
How it would work
Monthly work plans are authored against contracts, geo-located, and approved before crews go out. Each mode is then instrumented with whatever actually fits it: CAN-bus telematics on sweepers and bulky-waste vehicles, attendance capture on shift transport for manual crews, wearables where a tablet is not realistic, and rugged devices for supervisors and inspectors. Tasks are assigned dynamically by zone and priority, and inspection captures geotagged before-and-after photographs against the obligation they evidence.
The architectural point
All six modes attach to one data model, one penalty matrix, one safety framework, and one workforce backbone — without being forced into one process. That distinction is the whole design: shared scoring and evidence structure, mode-specific execution. Adding a seventh cleaning activity or a new service provider becomes configuration against the existing model rather than another parallel system to maintain and reconcile.
Crews on shift
284
Zones covered
76%
Open findings
42
EHS flags
3
Cleaning operations · shift view
liveMechanical sweeping · night route
22 units · arterial roads · on plan
Shoreline crew · attendance short
9 of 14 registered at zone
Underpass washing · re-inspection
Before/after photos required
Zone coverage % · last 12 days
Illustrative console view — sample data, not a live operation.
Platform capabilities
Contracts, workforce, safety, asset lifecycle, and inspection running on one operating model.
Geo-located work-plan automation across mechanical and manual cleaning, with KPI evaluation and penalty calculation tied to the contractual obligation itself.
Attendance capture, supervisor tooling, and wearable tracking with dynamic task assignment by zone and priority — designed for manual labour rather than adapted from a fleet app.
ExploreGeotagged before-and-after photographs, custom checklists, alarm validation, and geo-located inspections, each linked to the obligation it evidences.
ExploreSafety practice recorded shift by shift across road, park, and shoreline environments, so the audit trail exists before the audit is announced.
Usage-driven service schedules and asset lifecycle tracking keep sweepers and washing units available when the contract requires them.
ExploreCentralised reporting that turns shift-level operational data into the evidence base for renewal decisions and process change.
Hardware in the field
Each mode gets instrumentation that suits it — vehicle, manual crew, or shoreline team — all resolving into one picture.
CAN-bus position, behaviour, and engine data across the mechanical fleet, device-agnostic across suppliers.
ExploreBulky-waste vehicles weigh their own load, so the collected tonnage reconciles to the contracted line item without a separate weighbridge step.
Sweepers and litter pickers register attendance where they already gather — on the vehicle that brings them to the zone — making manual crews a measurable cohort without unwearable devices.
Selected manual roles use wrist-worn devices for location and task confirmation, enabling zone-based assignment without tablet-class hardware.
ExploreRugged devices running supervisor and inspection apps for geotagged evidence, alarm validation, and custom checklists.
ExploreIntegrations
Connected to the department's HR, finance, and safety reporting systems, and to each provider's existing stack.
Attendance, payroll inputs, and contractor finance flow into the department's systems so operational and administrative records agree.
Safety evidence feeds statutory reporting continuously rather than being reconstructed for each audit cycle.
Existing contractor telematics, apps, and operational tooling integrate vendor-independently, so a new provider does not trigger a rebuild.
Department staff, provider users, and field inspectors authenticate against the existing directory with scoped permissions.
FAQ
Short answers here — the detailed version is a conversation whenever you're ready.
Discuss your deployment
Sovereign-data-friendly. Enterprise multi-org architecture. Built to integrate with the devices, SIM providers, and back-office systems you already run.
