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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.

Manufacturing

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Reduce downtime and improve overall equipment effectiveness while strengthening safety and compliance with validated insights

Optimized Operations

    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 that affects next week 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.

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  • KPI codification

    Codify KPIs in the semantic layer: Encode OEE, safety, and compliance metrics with goal thresholds so definitions, calculations, and targets are governed and reusable across use cases.

  • Agent-led planning

    Generate plans and validated answers: Use domain-aware agents to produce verified insights plus alternative plans (time‑optimized vs cost‑optimized) in minutes for side‑by‑side comparison and decisioning.

  • Target recovery tracking

    Track recovery to target: Monitor execution against KPI thresholds, showing progress gaps and recommended next actions to steer back to goal for each plan option.

  • Anomaly detection with evidence

    Detect anomalies with evidence: Continuously surface outliers and signals with explainability via evidence columns, enabling quick review and root‑cause validation before acting.

frequently asked questions

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Answers That Matter

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.

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.

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

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Join leading mid-market companies using Beye to turn data chaos into decision-ready insights in seconds.

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