Case study · logistics
Fleet Telemetry Platform
Fleet utilization +18%, ETA accuracy 94% - dead zones resolved.
Fleet Telemetry Platform case studyOverview
The brief.
A 3PL replaced phone-call blind spots with an offline-first telemetry platform, lifting fleet utilization 18% and ETA accuracy to 94% while resolving connectivity dead zones.
Client
3PL logistics company
Logistics
800+ vehicles
Gallery
In the wild.
The numbers.
Results
+18%
fleet utilization
94%
ETA accuracy
0
dead-zone data loss
100%
ELD compliance
The challenge
What was in the way.
Fleet blind spots
Vehicle status lived in phone calls and guesswork. Dispatchers couldn't see location, load or hours-of-service, so failures surfaced only when customers called.
Connectivity dead zones
Routes crossed underground lots and rural corridors where signal dropped. Telemetry data was lost in the gaps, breaking the audit trail and ETA math.
The solution
How we solved it.
We built an offline-first telemetry platform: MQTT edge pipeline with store-and-forward sync, a Kafka streaming backbone, TimescaleDB time-series storage, and separate driver/dispatcher mobile apps sharing one data model.
“We stopped finding out about problems from angry customers. Dispatch sees everything, even in the dead zones.”
Outcome
The bottom line.
Fleet utilization +18%, ETA accuracy 94% - dead zones resolved.
FAQ
About this engagement.
How did you handle dead zones?
Store-and-forward with conflict-safe sync once back online.
ELD compliant?
Yes - hours-of-service rules enforced, FMCSA-aligned.
Driver vs dispatcher UX?
Separate surfaces, one data model, offline-first both.
Want results like these?
We build to the outcome, then let the numbers speak.