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Summary




LMN Manufacturing, a large-scale producer of auto parts, faced frequent equipment failures leading to production delays. By adopting predictive maintenance technology, the company significantly reduced downtime.

Problem statement




Unplanned machine breakdowns caused production losses and increased maintenance costs. Over the years, ABN AMRO has evolved its video banking solutions through several iterations. The latest solution uses Microsoft Teams and Azure Communication Services to bring fully customized Teams meeting capabilities directly into the bank’s own digital banking portal for customers. This solution streamlines the process of meeting with financial advisors for both ABN AMRO employees and customers. “We use Teams and Azure Communication Services to create a seamless, branded experience for customers without requiring them to leave their digital banking environment or download an application. We hereby offer a friction-free experience. It’s been a huge milestone,” says Hartmans.

Solutions

  • Deployed IoT sensors to monitor equipment health in real-time.

  • Used machine learning models to predict and prevent failures.

  • Trained staff on proactive maintenance strategies.

Impact

  • 50% reduction in unexpected breakdowns.

  • Saved $2 million annually in maintenance and lost production costs.

  • Increased overall equipment efficiency by 20%.

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