Supply chain & logistics analytics unified across 8+ relational sources for real-time ops

8 Mo

of engineering effort avoided

75%

reduction in reporting workload

Industry

Retail & Supply Chain

Country

USA

Customer overview

Predictive maintenance analytics powered by governed vehicle data

Omnivio operates in a retail and logistics ecosystem where supply chain speed, operational visibility, and logistics performance directly shape customer outcomes. Their teams depend on operational data across supply chain, logistics, and relational systems to power dashboards, performance tracking, and business intelligence.

Challenges

Fragmented relational systems slowed supply chain intelligence

Omnivio’s operational data was available, but not operationally ready. This created an environment where analytics lagged behind operations, making it harder to act on live supply chain realities.

Supply chain and logistics data spread across 8+ relational sources
PostgreSQL and operational systems require continuous synchronization
Dashboard refresh cycles stretched from 3 days to completion
ETL overhead consumed significant operational resources
Scaling analytics required custom pipeline maintenance

Turn challenges into measurable outcomes

Discover proven strategies that improve operational performance and deliver real ROI across your organization.

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What changed with LakeStack

From delayed dashboards to real-time supply chain analytics

LakeStack replaced fragmented operational workflows with a governed analytics foundation, enabling Omnivio to shift from slow reporting cycles to continuously operationalized supply chain intelligence.

5× faster analytics delivery

Unified supply chain and logistics data across 8+ sources

LakeStack consolidated fragmented operational systems into one governed data foundation, dramatically accelerating supply chain analytics delivery.

Dashboards refreshed in 20 minutes

Streaming CDC across PostgreSQL and operational systems

Continuous data synchronization transformed dashboard refresh timelines from 3 days to near real-time visibility.

60% less ETL overhead

Zero custom pipeline architecture

Pre-engineered ingestion and transformation removed the operational burden of maintaining fragmented ETL workflows.

Analytics infrastructure scaled 10×

Enterprise-ready governed data foundation

LakeStack enabled Omnivio to scale transaction and operational analytics without rebuilding infrastructure.