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Regional Logistics Operator
Logistics & Fleet Management

Cutting Fleet Reporting Time by 85% with a Unified Analytics Platform

How a 240-vehicle fleet operator replaced three disconnected spreadsheets with a single real-time Power BI command center.

-85%

Reporting Time

240+

Vehicles Tracked

48 hrs

Fuel Anomaly Detection

Client Background

How a 240-vehicle fleet operator replaced three disconnected spreadsheets with a single real-time Power BI command center.

The Challenge

The operations team managed telematics, fuel card, and maintenance data across three separate systems with no common vehicle ID scheme. Every weekly utilization report took two full days to assemble manually, and by the time it reached leadership, the numbers were already stale.

Our Approach

We started with a data audit across all three source systems, designed a normalized vehicle master, and built an automated SQL-based ETL pipeline to land and reconcile the data nightly. From there, we modeled a star schema warehouse optimized for fast, flexible reporting.

Implementation

The Power BI layer was built in three iterations: an internal-only MVP for the ops team to validate the numbers, a refined leadership dashboard with drill-down by vehicle and route, and finally a mobile-friendly view for regional managers checking utilization on the go. Row-level security was applied so each region only saw its own fleet.

Results

  • Weekly reporting time dropped from 2 days to under 20 minutes
  • Fuel cost anomalies are now caught within 48 hours instead of at month-end
  • Vehicle utilization improved as underused vehicles became visible for the first time

Technology Used

Power BI
SQL Server
Python
Azure Data Factory

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