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Predictive Analytics and Root Cause Analysis for Optimized Equipment Maintenance
Industry: 
Manufacturing
Inteliment helped a manufacturing client enhance their after-sales service by implementing predictive analytics to anticipate equipment part failures, aiming to reduce breakdowns and improve maintenance efficiency.
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Challenges

  • Unpredictable Product Failures: Difficulty in identifying root causes and forecasting breakdowns.
  • Inefficient Claim Processing: Manual processes lead to delays and errors.
  • High Warranty Costs: Unplanned repairs erode profitability.
  • Suboptimal Customer Experience: Slow response times and lack of personalized support hinder satisfaction.

Solutions

  • Predictive Analytics: Forecasting potential failures for proactive maintenance.
  • Prescriptive Analytics: Identifying optimal resolutions for issues.
  • Automated Claim Processing: Streamlining validation and processing.
  • Personalized Customer Support: Delivering tailored assistance and timely resolutions.

Outcomes

Report consolidation:

reduced 95 reports to 19 power BI dashboards.

Data-driven-approch

Effort reduction:

Cut weekly effort from 2 days to 0.2 days.

Process efficiency:

Streamlined data ingestion and reporting.

Focus-on-ROI

Time savings:

Accelerated decision-making through efficient reporting.

Data-Driven Excellence

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