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Industrial Manufacturing

Building an AI-Ready Modern Data Lifecycle

Transformed a $1B solar manufacturer's fragmented data infrastructure into a unified, AI-ready platform—reducing reporting delays from 24 hours to under 30 minutes.

<30min
Data Latency
99.5%
Pipeline Reliability
40hrs/week
Time Saved
<1%
Error Rate
CLIENT

U.S. solar technology manufacturer ($1B revenue, 5GW annual production) with strategic partnership with $50B materials multinational

THE CHALLENGE

Production metrics locked in Oracle MES behind VPN. Financial data scattered across Oracle ERP and SAP. 40+ hours weekly spent on manual reconciliation. 24-hour reporting delays blocking AI initiatives.

THE SOLUTION

Automated VPN access and catalogued 328 Oracle schemas with latency mapping.

Activated change-data-capture (CDC) across Oracle and MES systems.

Built unified event schema preserving order-to-shipment causality.

Containerized self-healing pipeline with automated health monitoring.

Deployed real-time dashboards with LLM-powered translation for supplier docs.

Data Sources Unified

Oracle 19c ERP, SAP modules, Legacy MES via FortiClient VPN, Mandarin supplier PDFs

Architecture

Oracle LogMiner CDC, Azure PostgreSQL event store, Docker containerized pipelines, GitHub Actions CI/CD

THE RESULTS

Finance reviews live dashboards instead of day-old spreadsheets.

Planners schedule against real-time WIP visibility. Foundation enables demand forecasting and predictive maintenance pilots. Zero manual reconciliation required.