Manufacturing

Intelligent Automation and Root-Cause Visibility for Modern Manufacturing

Manufacturers today are under constant pressure to reduce downtime, ensure quality, manage global supply chains, and accelerate continuous improvement. But legacy systems and siloed data often limit visibility and delay action. Perviewsis transforms manufacturing operations with intelligent workflows, causal analytics, and real-time decision automation—so you can respond faster, optimize outcomes, and scale smarter.

Business Challenges We Solve

Challenge

Unexpected downtime and low OEE Poor yield or quality drift Inefficient production workflows Complex supplier quality issues Compliance and traceability overhead

Perviewsis Solution

Real-time anomaly detection + root-cause mapping Causal analysis of process, machine, and material factors Low-code automation of alerts, escalations, and SOPs Decision orchestration with explainable triggers Auto-documentation and version-controlled logic

Who We Help

  • Discrete and Process
  • Manufacturers
    Industrial Equipment & Machinery Makers
  • Chemical & Pharmaceutical Manufacturers
  • Automotive & Aerospace OEMs
  • Packaging, Electronics, and Consumer Goods Producers

Perviewsis in Action: Manufacturing Workflow Example

Smart Line Performance Monitoring

  • Sensors and MES data feed into Perviewsis
  • Predictive model flags performance drift
  • Causal engine traces root factors (shift, machine, material)
  • Workflow triggers operator alert + auto-checklist
  • Incident documented with full trail and escalation if unresolved

Technical Highlights

  • Integrates with MES, SCADA, ERP, PLM, and sensor networks
  • Modular architecture for specific plant, line, or process deployments
  • Secure access and data isolation by role, site, or system
  • Low-code builder for configuring rules, SOPs, and alerts
  • Real-time dashboards with drill-downs by batch, asset, or product line

AI Infrastructure Monitoring in Action

Key Capabilities

Production Optimization and Root Cause Analysis

  • Real-time monitoring of production KPIs (OEE, throughput, cycle time)
  • Predictive models for yield loss, scrap, rework, or delay risks
  • Causal analytics to explain performance dips or line failures
  • SOP-driven workflows that adapt based on data inputs and outcomes“Why did yield drop by 15% on Line 3 last week?”Perviewsis identifies a correlation with raw material moisture content and operator shift patterns.

Quality Management and Traceability

Ensure product quality, reduce scrap, and maintain regulatory compliance. Use cases:
  • Automated defect detection using historical and real-time data
  • Traceability across batch, shift, supplier, and machine data
  • Root cause identification for deviations, customer complaints, or failed audits
  • Alerting and escalation workflows with explainable triggers
Impact:
  • Fewer line shutdowns
  • TFaster issue resolution
  • Lower cost of poor quality (CoPQ)

Asset Health and Predictive Maintenance

Avoid unplanned downtime with smart, proactive asset intelligence.

Features:

    • Predict failure based on vibration, temperature, run-hours, and usage patterns
    • Combine sensor data with maintenance logs for better model accuracy
    • Causal signals to distinguish between noise and true degradation
    • Trigger maintenance actions, parts ordering, and technician assignments

Benefit: Reduce unplanned downtime by up to 40%, extend asset life, and reduce MTTR.

Supply Chain & Inventory Decisioning

Avoid unplanned downtime with smart, proactive asset intelligence.

Perviewsis helps with:

  • Predicting stockouts or delays based on upstream signals
  • Identifying bottlenecks due to demand shifts or supplier issues
  • Automating reorder, expedite, or alternative sourcing actions
  • Running “what-if” simulations to optimize inventory policies

“How will a 2-week delay from Supplier B affect plant output next month?”
→ Perviewsis runs simulations and flags affected SKUs and contingency actions.

Compliance, Audit & ESG Reporting

Make every operational decision traceable, auditable, and aligned with compliance standards. Built-in support for:
  • ISO 9001, ISO 14001, OSHA, FDA 21 CFR, IATF 16949
  • Custom policy-based controls with logic versioning
  • Auto-generated audit logs for every event or decision
  • Integrated ESG metrics tracking for energy, emissions, and waste

Value Across Roles

Role

  • Plant Manager
  • Quality Engineer
  • Maintenance Lead
  • Supply Chain Head
  • Operations Director
  • Compliance Officer

Value Delivered

Real-time visibility, anomaly alerts, and efficiency gainsCausal insights into defects and quality deviations Predictive alerts with actionable insights Fewer disruptions and smarter procurement decisions Continuous improvement with automated decision trails Built-in traceability and audit readiness

Outcomes Delivered

Metric

  • Unplanned downtime
  • Defect rates
  • Yield and throughput
  • Time-to-root-cause
  • Compliance violations
  • Inventory holding costs

Typical Improvement

  • ↓ 30–50%
  • ↓ 25–40%
  • ↑ 10–20%
  • ↓ 70%
  • ↓ 80%
  • ↓ 15–25%

perviewsis Start Your Free Trial

Ready to Transform Your Observability?

Join leading engineering teams who’ve reduced MTTR by 75% and achieved 99.9% uptime with AI-powered observability.

No credit card required · 14-day trial · Full platform access

Let us Prove it & talk to an expert today