Case Study: Jabil Inc achieves faster time-to-market and real-time analytics with Grid Dynamics Analytics Platform

Grid Dynamics Analytics Platform for smart manufacturing

Jabil Inc., a global manufacturing solutions provider with 100 plants across 30 countries, faced slow, on-premise batch analytics that hindered time-to-market, predictive maintenance, data governance, and self-service access for analytics and AI. To unify data pipelines, enable near‑real‑time processing, and support ML use cases, Jabil partnered with Grid Dynamics and adopted the Grid Dynamics Analytics Platform (deployed on AWS).

Grid Dynamics provisioned a cloud lakehouse with streaming ingestion, orchestration, data quality, governance and MLOps capabilities, onboarding business-critical shop‑floor and operations use cases. The platform reached production in seven months, cut anomaly‑detection time from days to hours, enabled migration and sunset of legacy infrastructure, and delivered an estimated $0.5 million in three‑year cost savings while making AI/ML and self‑service analytics much easier for Jabil.

Jabil Inc