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ITSM Optimization in Manufacturing | Case Study

ITSM optimization in manufacturing

Introduction

ITSM optimization is critical for manufacturing organizations handling high volumes of IT service requests across complex environments. Large-scale cement operations often experience rising ticket volumes across infrastructure, applications, and security systems, leading to inefficiencies and increased operational load. This case study highlights how a cement producer improved IT service efficiency by implementing structured ITSM optimization and ticket intelligence. By analyzing ticket patterns, enabling self-service, and standardizing workflows, the organization built a strong foundation for scalable automation and improved service delivery.

Customer

A cement producer operating large-scale manufacturing facilities with high volumes of IT service requests across infrastructure, applications, and support environments.

Business Objective

  • Reduce IT ticket volumes and operational load
  • Improve efficiency through self-service and automation readiness
  • Optimize incident vs service request handling
  • Enhance response times and service availability
  • Improve cost efficiency across IT operations

Scope of Services

  • Baseline analysis of IT tickets and service requests
  • Ticket classification and automation readiness assessment
  • Service catalogue design and digitization
  • Process alignment for ITSM workflows and prioritization
  • Identification of automation and self-service opportunities
  • KPI-driven optimization of IT service operations

Benefits

  • Improved efficiency in ticket handling and service delivery
  • Reduced manual intervention in repetitive issues
  • Better visibility into ticket patterns and root causes
  • Clear segregation of incidents and service requests
  • Improved prioritization aligned with business KPIs

Impact

  • 36,107 tickets analyzed across environments
  • Identification of 20–24% automation potential
  • 40% automation efficiency potential in security issues
  • 47% of tickets attributed to process-related issues
  • Reduced dependency on manual ticket resolution
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