$300k in annual fuel savings from real-time route data
A regional logistics fleet was reconciling telematics data manually, days after the fact. We built a real-time ingestion pipeline and dashboard surfacing idle time and route inefficiency as it happened — saving an estimated $300k a year in fuel.
What we built
We build the data infrastructure that makes analytics and AI possible: pipelines that reconcile fragmented source systems, a warehouse that's fast enough to query directly, and dashboards operators actually trust because the numbers stay current.
How we ran it
Assess
Audit source systems, data quality, and the specific decisions the pipeline needs to support.
Architect
Pipeline and warehouse design scoped to freshness and cost requirements, agreed up front.
Build
Incremental delivery — a working pipeline and dashboard early, expanded against real usage.
Operate
Monitoring for pipeline failures and data drift, with a quarterly cost and performance review.