Memory Utilization Check Automation

Automating memory utilization monitoring and ticket handling to reduce escalation delays, optimize IT workloads, and ensure faster resolution of system performance issues across enterprise infrastructure.

industry Industry: Automobile Company
time Implementation Time: 3 Weeks*

Client Background

The client is a large-scale automobile enterprise operating across multiple manufacturing plants, engineering hubs, and administrative offices. Their IT infrastructure supports critical engineering applications, production systems, and enterprise workloads that require stable and optimized system performance.

With thousands of machines running simultaneously, memory utilization monitoring became a critical aspect of IT operations. However, the growing volume of performance-related alerts and tickets created significant pressure on IT support teams, leading to delays in resolution and reduced operational efficiency.

Challenges

The organization needed a faster and more reliable mechanism to monitor memory utilization and manage related support tickets efficiently. However, several operational challenges impacted performance.

Some of the Key Challenges

  • High volume of tickets generated for memory utilization alerts across systems
  • Increased dependency on specialized IT resources for analysis and resolution
  • Delays in identifying whether issues required escalation or simple closure
  • Rising backlog of performance-related tickets affecting IT service efficiency
  • Frequent escalations due to delayed response and manual processing

Our Solution

We implemented an RPA-based automation system designed to streamline memory utilization ticket handling and reduce manual intervention.

The solution automated key decision-making and operational steps within the ticket lifecycle:

  • Bot logs into the IT service management portal and filters tickets related to memory utilization.
  • It retrieves machine and user details associated with each ticket.
  • Bot checks the current memory usage levels for the identified systems.
  • If memory utilization is high, the ticket is automatically assigned to the appropriate IT engineer for action.
  • If utilization is within acceptable limits, the bot closes the ticket with an updated status.

Automation Benefits

The implemented automation delivered significant improvements in IT operations and resource efficiency.

80%
Automation of manual effort in ticket processing workflows
Reduced dependency on highly skilled IT engineers for routine analysis tasks
70–80%
Lower overall effort, improving operational efficiency
Enhanced customer and internal user satisfaction through faster resolution cycles
Improved utilization of skilled resources for higher-value technical work
Reduced ticket backlog and minimized escalation rates
Increased productivity and consistency in IT service operations

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