Manufacturing facility managers were flying blind, relying on delayed reports and disconnected spreadsheets to monitor multi-line production status. A modern industrial operation needed a central nervous system. I designed and developed FABRIX AI — a high-performance, real-time command center that aggregates data across active production lines and delivers instant visibility into yield, OEE (Overall Equipment Effectiveness), and maintenance alerts.

The Challenge

Industrial environments generate massive amounts of data, but it's often siloed or presented in outdated, hard-to-read interfaces. The core challenge was twofold:

Data Aggregation: We needed to ingest live statuses, targets, and outputs from multiple concurrent production lines without latency.

Cognitive Load: Operators on the factory floor needed a UI that instantly communicated critical alerts (like yield drops or material shortages) without requiring them to dig through menus. The interface had to be deeply legible in low-light industrial environments while looking like a premium, modern SaaS product.

he FABRIX AI dashboard transformed raw factory data into an actionable, real-time narrative.

Facility managers now have a single pane of glass showing global OEE, total output, and granular line-by-line efficiency.

The high-contrast alert system dramatically reduces response times to yield drops and maintenance bottlenecks.

The fully responsive, single-page application structure allows the dashboard to be displayed on large factory floor monitors or accessed remotely by shift supervisors without losing visual hierarchy.

Joshua, the alerting side of this is especially interesting. I’d want each yield alert to show the production volume and time window behind it, so operators have context for deciding whether to investigate. Are your thresholds fixed by line, or do they adapt to each line’s recent baseline?

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