Problem Statement:
Industrial boiler manufacturers often struggle to achieve consistent operational efficiency while increasing service revenue. A global boiler OEM faced significant challenges with their AFBC, CFBC, and PCFB boilers deployed across energy, manufacturing, and process industries. The diverse fuel conditions under which these boilers operated highlighted inefficiencies in real-time monitoring and proactive maintenance. Reliance on traditional reactive maintenance resulted in increased downtimes, limited visibility into operational issues, and lost opportunities for spare parts sales—ultimately hindering business growth and affecting customer satisfaction.
Objective:
To revolutionize boiler operations by implementing a robust, AI-powered solution that ensures real-time monitoring, predictive maintenance, and optimized performance. The aim was to minimize downtime, enhance operational efficiency, and unlock new aftermarket revenue opportunities for spares and services. This transformation would empower the OEM to drive higher customer satisfaction and achieve scalable business growth.