Magic Software
Magic FactoryEye

Your factory is generating data. Your teams still cannot act on it fast enough.

Most manufacturers are not short on dashboards. They are short on trusted, connected context across production, quality, maintenance, planning, and finance. FactoryEye unifies plant-floor and enterprise data so you can detect issues sooner, reduce downtime, and improve throughput with confidence.

4-12 weeks

Typical ROI Sprints

100+

IT-OT Connectors

Real-Time

Operational Visibility

The Manufacturing Pain

Teams are overloaded with data but still underpowered in decisions.

  • Production, quality, and maintenance data live in separate systems and teams
  • Operators react to failures late because early signals are fragmented
  • Continuous improvement stalls when KPIs are delayed or disputed
  • Pilot projects show promise but fail to scale plant-to-plant

The FactoryEye Approach

Connect your operation once and drive measurable improvement continuously.

  • Contextualize cross-organizational data in one operational view
  • Connect plant-floor systems, MES, ERP, and business apps without rip-and-replace
  • Use AI-assisted analytics to detect trends, anomalies, and downtime risk earlier
  • Deploy in practical KPI-driven sprints that create momentum and fund the next phase

Built for operational leaders who need outcomes, not another data silo

FactoryEye is designed to support cross-functional manufacturing execution: from daily production and maintenance decisions to strategic planning, supplier performance, and customer impact.

MES Insights

Track OEE, cycle time, and production performance in real time so teams can intervene before losses compound.

Predictive Maintenance

Use machine data and analytics to identify risk patterns before they become unplanned stoppages.

IT-OT Integration

Link plant-floor assets with ERP, CRM, quality, and supply chain systems for one trusted operational picture.

Data Visualization

Give operators, supervisors, and leadership role-specific dashboards tied to business outcomes, not just raw metrics.

Quality and Traceability

Centralize QA/QC and traceability context to reduce scrap, support compliance, and improve root-cause analysis.

Integrated Data Historian

Preserve historical production context to benchmark lines, compare plants, and validate improvement initiatives.

Proof in Production

18 plants in 18 weeks after an 18-month failed pilot

A global manufacturer needed a practical path to Industry 4.0 without overhauling systems or stalling in another long pilot. FactoryEye proved the model in one plant, then replicated it across 18 plants in 18 weeks with structured sprint delivery.

18

Plants Rolled Out

18 weeks

Scale Timeline

90 days

Pilot Sprint

Why This Story Matters

  • Replaced a fragile legacy reporting environment that had become too slow and risky to support
  • Established dependable end-to-end data integrity during the pilot
  • Scaled from one validated plant to 18 plants in 18 weeks
  • Enabled rapid adoption using short virtual training sessions
Read the full 18 plants in 18 weeks case study

Ready to turn factory data into faster, better decisions?

Bring your toughest KPI bottlenecks, visibility gaps, and downtime pain points. We will map a practical FactoryEye rollout that starts small, proves value quickly, and scales with confidence.