Rajib Bora

This interactive workshop explores how predictive service models are redefining customer expectations and operational excellence. Rajib will demonstrate how integrating IoT data streams with AI-driven analytics enables organizations to preemptively address customer needs, transforming service delivery from reactive troubleshooting to proactive partnership. Currently serving as VP Field Service at Freudenberg e-Power Systems, Rajib specializes in leveraging IoT, AI, and predictive analytics to drive revenue growth while maintaining cost-effective, high-performing operations. His expertise spans identifying process improvements, implementing cutting-edge technologies, and fostering customer-centric innovations that enhance loyalty and satisfaction.

Key Takeaways:

• Understand how real-time IoT sensor data and machine learning algorithms predict equipment failures and customer pain points before they disrupt operations. 
• Identify how analyzing behavioral patterns and operational data reveals upsell possibilities and service gaps.
• Apply frameworks that integrate predictive analytics into operational workflows to reduce costs and improve efficiency.