Platform
Eight layers. One data model. Zero swivel-chair.
Point tools give you eight dashboards that disagree. iQlynx runs weight, visibility, waste operations, routing, fuel, driver behaviour, maintenance, reporting, and field communication on one connected data model — so a kilogram measured on the truck shows up in the route plan, the invoice, and the board report without anyone re-keying it.
Architecture
From sensor to decision
Data moves left to right; accountability moves with it.
Devices & sensors
GPS and telematics, weight sensors, fuel sensors, driver mobile app
Fleet data ingestion
Continuous, validated capture across vehicles, sites, and shifts
Operational intelligence
Weight, routes, behaviour, maintenance, and waste operations correlated
Alerts & automation
Geofence, overload, theft, SOS, and schedule events escalate instantly
Dashboards & reporting
Control room, management KPIs, custom reports, AI-assisted analytics
ERP & external systems
Billing exports, standard formats, and integration endpoints
The connected data model
How the data streams relate
Each stream is useful alone. Correlated on one platform, they answer questions no single stream can.
GPS & telematics data
→ Every module
Position, movement, and vehicle state are the platform's spine — routing, geofencing, behaviour, and shift tracking all consume it.
Weight sensors
→ Billing, routing & compliance
Onboard weight feeds overload prevention, payload optimization, per-tonne billing exports, and landfill reconciliation.
Route & stop information
→ Optimization & verification
Planned routes meet actual trips: sequencing improves, deviations alert, and every stop is verified.
Fuel data
→ Theft detection & cost analytics
Fill events, consumption, and drops correlate with routes, weight, and behaviour to explain every litre.
Driver behaviour
→ Safety, fuel & insurance posture
Harsh events, idling, and speed tie to fuel burn, incident risk, and coaching programs.
Maintenance history
→ Uptime & spend decisions
Breakdowns, MTBF, and costs by vehicle type inform preventive schedules and replacement planning.
Waste & landfill records
→ Service proof & reconciliation
Bin-level collection and landfill receipts close the loop between service delivered and money billed.
Reports & AI-assisted insights
→ Every decision-maker
Standard and custom reports, scheduled distribution, and anomaly detection sit on top of the whole model.
Field communication
→ Dispatch & drivers
Assignments, confirmations, messages, and SOS flow through one recorded channel.
The eight layers
Start anywhere. Compound everywhere.
Where AI fits
One intelligence capability — not the whole pitch
AI-assisted analytics inside the reporting layer surface trends, anomalies, and recommendations from your operational data — a vehicle whose consumption is drifting, a route degrading week over week. It works because the underlying data model is connected and clean. It doesn’t replace your reports, your dispatchers, or your judgement.
Implementation
How deployment works
- 1Assessment: your fleet, devices, contracts, and priorities
- 2Device validation: existing GPS, weight, and fuel hardware tested for compatibility
- 3Pilot: a defined vehicle group with baseline metrics agreed up front
- 4Rollout: fleet-wide deployment, driver onboarding, and integrations
- 5Review: measured results against the pilot baseline
Compatibility
Bring your own devices — we'll validate them
- Existing GPS and telematics devices are supported where they expose usable data; compatibility is confirmed during the pilot.
- Weight, fuel, and IoT sensors integrate through the same validation process.
- ERP and accounting systems connect through standard-format exports, APIs, and webhooks.
See the whole platform on one screen.
A 45-minute demo with your operation's questions — fleet size, devices, routes, and contracts — answered directly.