Fleet Management & Telematics — TransLogiX
Visual: vehicle health, route compliance map, fuel telemetry and driver scores (replace with real screenshots).
Client Overview
TransLogiX is a regional logistics operator managing a mixed fleet of 450 vehicles (medium trucks, LCVs, distribution vans). They handle time-sensitive deliveries across metro and peri-urban routes and were seeking better visibility into fleet health, driver behaviour, and fuel consumption to reduce downtime and costs.
Challenge
Manual maintenance scheduling, limited early-warning on component wear, inconsistent driver compliance, and rising fuel costs were causing operational inefficiencies. Their operations needed automated telematics, predictive maintenance alerts and actionable dashboards to reduce downtime and improve safety.
Solution — Telematics + Predictive Maintenance
We integrated on-vehicle telematics (OBD-II + CAN bus adapters), a cloud ingestion pipeline, and an analytics layer to surface driver-risk scores, fuel anomalies, and predictive alerts for engine/transmission components.
Core capabilities
Approach
- Pilot 50 vehicles to validate hardware and telemetry fidelity across routes.
- Build feature pipelines and train anomaly detectors using historic service logs.
- Roll out fleet-wide with dashboards for operations and mobile alerts for drivers.
Technology stack
Implementation — Key Phases
Phase 1 — Hardware & Pilot (Weeks 1–6)
Validated telematics hardware, connectivity, and data schema on 50 vehicles across mixed routes.
Phase 2 — Model & Alerts (Weeks 7–18)
Built anomaly detection for engine load, overheat profiles, and wear indicators; set up alert triage.
Phase 3 — Fleet Rollout (Weeks 19–32)
Rollout hardware and dashboards, integrate with workshop scheduling and inventory for spare parts.
Impact & Results
22%
Reduction in unscheduled downtime
11%
Improvement in fleet fuel efficiency
35%
Drop in harsh-driving incidents
4 months
Typical time to measurable ROI
Qualitative outcomes
- Operations moved from reactive break-fix to planned maintenance, reducing service disruption.
- Driver coaching based on scores improved safety and lowered insurance risk.
- Workshop inventory optimized using anticipated spare-part needs from predictive alerts.
Client Testimonial
Key Highlights & Learnings
- Start small with a pilot across route types to validate signals and false-positive rates.
- Combine simple rules with ML to reduce noise and increase operator trust.
- Integrate workshop workflows early to close the maintenance loop efficiently.