The impact of edge computing on cloud CRM data streams in industrial IoT environments

Singh, Jasmeer (2025) The impact of edge computing on cloud CRM data streams in industrial IoT environments. World Journal of Advanced Research and Reviews, 26 (3). pp. 338-348. ISSN 2581-9615

The integration of edge computing with cloud Customer Relationship Management (CRM) systems represents a transformative approach to handling Industrial Internet of Things (IIoT) data streams in manufacturing environments. This article explores how edge computing addresses fundamental limitations in traditional cloud-centric processing models by bringing computational capabilities closer to data sources, thereby overcoming challenges related to latency, bandwidth utilization, and operational resilience. By examining the architectural framework that bridges operational technology with information technology platforms, the article demonstrates how manufacturers are leveraging this convergence to enhance customer experiences through proactive service delivery, enriched customer intelligence, and streamlined field operations. The evolution from manual data entry to intelligent, event-based integration has revolutionized how organizations manage customer relationships in industrial settings. As these technologies continue to mature, emerging trends such as edge AI advancement, digital twin integration, and autonomous service delivery are poised to further blur the boundaries between operational systems and customer engagement platforms, creating unprecedented opportunities for manufacturing organizations to deliver value throughout the product lifecycle.