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Case Study: Transforming Operations with Industrial IoT Solutions

At SalesExtended, we believe in the transformative power of technology. Our Industrial IoT solutions have helped numerous businesses enhance efficiency, reduce costs, and achieve unprecedented levels of operational excellence. Explore this case study to see how our innovative solutions can make a tangible difference in your industry.

Case Study: Revolutionizing Manufacturing Efficiency with IoT

Client: Automobile Spare Parts Manufacturer

Industry: Manufacturing

Location: Bangalore, India

Challenge:

MPT Manufacturing, a leading producer of automotive parts, was facing several operational challenges.

These included frequent machinery breakdowns, inefficient energy use, and lack of real-time visibility into production processes. These issues resulted in high operational costs and downtime, affecting their ability to meet production targets and customer demands.

Solution: SalesExtended's IIoT Implementation

Assessment and Planning

Our team conducted a thorough assessment of MPT Manufacturing’s existing operations, identifying key areas where IoT could make a significant impact. We collaborated with their engineering and IT departments to design a customized IoT solution tailored to their specific needs.

Key Components Of The Solution

Real-Time Monitoring
  • Installed IoT sensors on critical machinery to monitor performance in real-time.

  • Enabled real-time data collection on machine temperature, vibration, and operating hours.

Predictive Maintenance
  • Implemented predictive maintenance algorithms to analyze sensor data and predict potential machinery failures.

  • Scheduled maintenance activities proactively, reducing unexpected downtime.

Energy Management
  • Deployed energy monitoring sensors to track energy consumption across the facility.

  • Implemented automated controls to optimize energy use based on production schedules.

Operational Analytics
  • Developed a centralized dashboard for real-time visibility into production processes.

  • Provided analytics and insights to help management make data-driven decisions.

Results Of Implementation

Increased Effeciency

Reduction In Unplanned Downtime
  • Predictive maintenance reduced unplanned downtime by several hours, ensuring continuous production and timely deliveries.

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Improvement in Energy Efficiency
  • ​Optimized energy use resulted in a significant reduction in energy costs, contributing to a greener and more cost-effective operation.

Enhanced Productivity

Real-Time Insights
  • The centralized dashboard provided real-time insights into production processes, enabling quick adjustments and improved productivity.

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Better Decision Making​
  • Data-driven insights helped management make informed decisions, optimizing operations and resource allocation.

Improved Maintenance

Reduced Maintenance Cost​
  • Proactive maintenance scheduling reduced the frequency and cost of repairs.

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Extended Machinery Lifespan
  • Regular maintenance based on predictive insights extended the lifespan of critical machinery.

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