KPI codification
Encode OEE, safety, and compliance metrics with goal thresholds in the semantic layer, so definitions, calculations, and targets are governed and reusable across use cases.
Manufacturing
Generative Business Intelligence for manufacturing operations
Boost OEE and throughput with governed metrics, agent-driven plans, and anomaly alerts that keep lines safe, compliant, and on target.
Optimized operations
Reduce downtime and improve OEE while strengthening safety and compliance
Validated insights your plant teams can act on. Here is what your AI agent can answer.
- Which parts, stations, and shifts are driving most downtime this week, and which actions recover the most output with the least cost?
- Where is overall equipment effectiveness below target by line and plant, what are the top three drivers, and what fixes move the metric first?
- Which suppliers are late or short, and how does that affect next week’s production schedule and on-time in-full?
- What safety stock or lead time change removes the highest risk of line stoppage while minimizing working capital?
- Which maintenance tasks are due in the next seven days, and what failures are most likely if we defer them?
- Create a safety incident heat map by plant, line, and supervisor, and recommend targeted actions and training.
- Are inspections and audits completed on time by area, what is the corrective action closure rate, and who owns the follow-up?
- Where are bill of materials costs rising, and which qualified suppliers offer better pricing without quality risk?
4 steps
How it works
KPIs to decisions, fast: governed metrics, agent plans, and anomaly alerts that keep work on target.
Agent-led planning
Domain-aware agents produce verified insights plus alternative plans (time-optimized vs cost-optimized) in minutes for side-by-side comparison.
Target recovery tracking
Monitor execution against KPI thresholds, with progress gaps and recommended next actions to steer each plan option back to goal.
Anomaly detection with evidence
Continuously surface outliers with explainability via evidence columns, for quick review and root-cause validation before acting.
Frequently asked questions
Answers that matter
What manufacturing use cases does Beye support?
Beye supports production performance and equipment performance with OEE by line and shift, top loss analysis, quality metrics including scrap and yield, and safety injury and incident analysis and prevention with compliance tracking. Each workflow is modeled to your plant definitions and goals.
How do you connect to plant data?
Start with production, downtime, quality, and incident files along with ERP and maintenance exports. ELT Fabric harmonizes sources and we build a semantic layer tied to OEE, scrap, yield, and safety KPIs.
What questions can operators and safety leaders ask?
Ask which lines miss OEE targets and what losses explain it by shift. Ask where scrap or yield deviates from normal and what patterns stand out. Ask which areas are incident hot spots and what actions prevent recurrence next week.
Quick connect
Ready to transform your analytics?
Join leading mid-market companies using Beye to turn data chaos into decision-ready insights in seconds.