Explore how real-time monitoring of energy, material usage, and emissions can improve waste reduction and resource optimization. What kind of KPIs are emerging, and which business stakeholders (procurement, operations, sustainability teams) benefit most?
Major challenges in the integration of IoT and AI include real-time monitoring and predictive maintenance. When these factors are well-designed, they enhance and optimize resource usage.
Dear Debashis Kundu ,
The Internet of Things (IoT) and Industry 4.0 technologies play a transformative role in enhancing Circular Supply Chain Management (CSCM). IoT enables real-time tracking, inventory management, and resource optimization, which are critical for improving supply chain efficiency
Article Towards circular economy: A IoT enabled framework for circul...
Regards,
Shafagat
Dear Shafagat Mahmudova
Thank you for your valuable input. Integrating AI with IoT enhances circular economy efforts by enabling real-time monitoring of energy, materials, and emissions. This supports waste reduction, predictive maintenance, and efficiency. Key KPIs include energy use per unit and carbon intensity. Procurement, operations, and sustainability teams all benefit through improved decision-making and resource optimization.
Dear Mohammadhossein Homaei ,
How did the article relate to the discussion?
Dear Khadersab Adamsab
Thank you for your response. Indeed, effective design of real-time monitoring and predictive maintenance is crucial for maximizing resource efficiency through IoT and AI integration.
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