A unified data platform turning fragmented operational sources into decision-ready insight — cutting network-wide reporting time by 70%.
A mid-market logistics and distribution company operating warehouse and transportation hubs across several regions.
Warehouse management, transportation, and finance each ran on separate systems that never fully reconciled with each other, leaving leadership without a trustworthy, network-wide view of performance. Producing a single monthly report meant manually pulling exports from multiple systems and stitching them together in spreadsheets — a process that took days and was prone to error.
Without a unified data foundation, the company also had no realistic path to apply predictive analytics or machine learning to demand planning and routing, even though leadership recognized the opportunity. The priority was a data platform that could serve today's reporting needs and tomorrow's analytics ambitions.
Hilogic's Platform & Integrations and Technology Solutions teams designed a centralized data lake on AWS, built automated Python-based ETL pipelines, and delivered self-service analytics dashboards for operational leadership.
A single, query-ready platform consolidating warehouse, transportation, and finance data.
Python-based pipelines synchronizing operational data across systems in near real time.
Real-time, network-wide reporting available on demand instead of once a month.
A clean, unified data layer ready to support predictive demand and route optimization.
Leadership now reviews network performance from live dashboards instead of waiting on a multi-day manual reporting cycle, and the first data-driven routing changes have already improved on-time delivery. The unified data layer also gives the company a foundation to build predictive analytics into future operations.