Seamless Support. Smarter Operations. Stronger Business Continuity
Description
The organization operates in the brewery-based manufacturing and retail sector, managing end-to-end processes from production and inventory to distribution and in-store sales. Its ecosystem depends on tightly integrated systems such as production control applications, ERP platforms, and Point-of-Sale (POS) solutions to ensure smooth operations across multiple locations.
Business Challenges
Increasing complexity in managing IT services across 150+ applications within the organization
Limited visibility into issues and system performance due to lack of real time monitoring and reporting
Delays in identifying and resolving incidents
Inconsistent service experience across geographic locations
Difficulty maintaining operational continuity due to inadequate incident and problem management processes
Lack of standardized processes and controls across various IT functions and support teams
High incidence of unplanned service interruptions impacting operational stability
Delayed resolutions due to lack of well-defined SLAs and accountability
Suboptimal user experience leading to reduced confidence in service delivery
Solutions
Integrated application support operations with clear ownership across all applications
Established structured L1/L2/L3 support model with defined escalation paths
Implemented proactive application monitoring and alerting for faster issue detection
Streamlined incident management using triage, prioritization, and resolution runbooks
Built and utilized a knowledge base (KB/SOPs) for faster and consistent issue resolution
Strengthened problem management with root cause analysis to reduce recurring incidents
Improved change and release handling to minimize application disruptions
Enabled automation in ticket routing and resolution workflows
Focused on continuous improvement through incident trend analysis and defect fixes
Enhanced user support experience with quicker responses and consistent communication
Key Performance Indicators (KPIs) Measured
Mean Time to Resolve (MTTR): Measures the average time taken to resolve incidents from creation to closure
SLA Compliance: Indicates the percentage of tickets resolved within agreed timelines
Incident Reopen Rate: Measures how often incidents are reopened after closure
First Contact Resolution (FCR): Measures the percentage of issues resolved during the first interaction
Escalation to Tier 3: Tracks how often incidents are escalated to expert/developer teams
Incident Volume Trend: Measures how incident volume changes over time
Customer Satisfaction Score (CSAT): Measures how satisfied users are with service or support experience