Six tools, four spreadsheets, paper logs.
Replaced in 12 weeks.
A UK cold-chain logistics operator with a 90-vehicle fleet and three regional DCs replaced its fragmented monitoring stack with a single IoT-WorkS deployment — and recovered the cost in eight months.
Visibility ended at the depot gate.
Manual fridge-temperature logs in each vehicle. Loggers downloaded weekly. Compressor failures noticed only after product loss. Audit prep meant two days of admin per quarter.
- ×6 separate tools across vehicles, DCs, ports
- ×4 manual spreadsheets reconciled monthly
- ×Paper logs in vehicle gloveboxes
- ×£180k of product written off in 2024
One platform. End to end.
2,400 IoT-WorkS sensors across 90 vehicles + 3 DCs. AI Telemetry layered on top. AI Booking Engine connected to the maintenance team's inbox.
- ▸VS-T200 temp/humidity in every vehicle + DC
- ▸VS-D300 door sensors for chain-of-custody
- ▸VT-F100 4G+GPS trackers per vehicle
- ▸VG-E300 edge gateways at each DC
Audit-ready, every day.
Live visibility on every asset. Predicted compressor failures 7–11 days early. FSA + MHRA exports generated in 30 seconds.
- ✓Zero product loss in Q1 + Q2 2025
- ✓Quarterly audit prep: 2d → 90m
- ✓11 predicted failures pre-empted
- ✓Cost recovered in 8 months
From signed contract to fleet-wide rollout.
Pilot
3 vehicles + 1 DC. Sensors + gateways shipped. Calibration certificates issued.
Baseline
Per-asset ML baselines learned. Audit-export templates configured for FSA + MHRA.
Rollout
Sensors fitted across 90 vehicles + 3 DCs. Driver app onboarded. Alerts wired to ops Slack.
AI Bookings
Booking Engine connected to maintenance inbox. Telemetry → job auto-creation enabled. 73% auto-handle rate by week 12.
“The ML caught the failures, the booking engine dispatched the engineers — we recovered the cost in eight months. Audit prep used to be two days a quarter; now it's 90 minutes.”
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