Logistics
National Logistics Operator

Enterprise Data Engineering for Supply Chain Visibility

Established a trusted operational view and reduced manual reporting effort across business functions.

Enterprise Data Engineering for Supply Chain Visibility

Executive Summary

A national operator needed timely, trusted data across TMS, WMS, finance, and customer-service systems.

The Challenge

Point-to-point reporting produced inconsistent definitions, stale information, and costly manual reconciliation.

Our Solution

UTPL built governed ingestion pipelines, canonical models, quality controls, and role-based Power BI reporting.

Implementation

Source assessment, data contracts, platform build, pipeline delivery, quality automation, semantic modeling, and adoption.

Results

Established a trusted operational view and reduced manual reporting effort across business functions.

Lessons Learned

Data products need business owners and service-level expectations, not only technical pipelines.
“We now make operating decisions from a shared and trusted view of the network.”

Results at a Glance

55%
Reporting effort
17
Data sources
99.8%
Pipeline SLA

Technology Stack

Services Used

Cloud Solutions
Data Engineering

Industries

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