Streamlining Vendor Management and Maintenance Operations for Chennai Metro with AI-driven CRM Solutions.

Project Name: CRM for CMRL
Industry: Public Transportation
Client: Chennai Metro Railway Limited (CMRL)

Technologies Used:

bootstrap

Description:

The CRM for CMRL is a comprehensive solution designed to maintain vendors and monitor their tasks, maintenance checklists, attendance, reports, AMC (Annual Maintenance Contract), raise complaints, record HVAC temperatures, and power readings. The CRM features department creation, allowing the admin to manage HVAC, lifts and escalators, power, MEP (Mechanical Electrical Plumbing), facility maintenance, and civil departments. The platform leverages AI and ML technologies to optimize maintenance schedules, predict potential issues, and enhance vendor management.

Key Features:

  • Department Creation: Admin can create and manage various departments such as HVAC, lifts and escalators, power, MEP, facility maintenance, and civil.
  • AMC and Contract Management: Create and manage contracts and AMCs with start and end dates for vendors.
  • Ticketing/Complaints: Raise and track complaints and tickets specific to departments.
  • Maintenance Management: Manage breakdown and preventive maintenance tasks for each department.
  • Attendance: Track attendance of field employees and supervisors.
  • User Management: Manage user roles and permissions.
  • Site Creation: Create and manage multiple sites within the CRM.
  • Activity and Checklist Creation: Create activities and checklists for each department.
  • Job Location Tracking: Track the location of ongoing jobs.
  • Employee Location Tracking: Monitor the location of field employees.
  • Report Generation: Generate comprehensive reports for various operations.
  • Dashboard: Provides a unified view of all operations and statuses.

AI/ML Enhancements:

  • Predictive Maintenance: AI algorithms predict maintenance needs and potential issues, optimizing the maintenance schedule.
  • Automated Task Allocation: ML models automate the allocation of tasks based on priority and resource availability.
  • Vendor Performance Analytics: AI-driven insights into vendor performance and compliance with contracts.
  • Anomaly Detection: ML models detect anomalies in HVAC temperatures and power readings, alerting for immediate action.
  • Enhanced Complaint Resolution: AI prioritizes and routes complaints to the appropriate departments for swift resolution.

Pain Points Addressed:

  • Vendor and Task Management: Streamlined system for maintaining and monitoring vendor tasks and maintenance checklists.
  • Maintenance Efficiency: Optimized maintenance management for both breakdown and preventive tasks.
  • Complaint Resolution: Efficient ticketing and complaint resolution with real-time tracking.
  • Data Accuracy: Accurate recording of HVAC temperatures and power readings.
  • Employee Tracking: Real-time tracking of employee attendance and job locations.

Solutions We Offered:

  • Comprehensive Vendor Management: Simplified vendor profile and contract management.
  • Real-Time Maintenance Tracking: Efficient tracking of maintenance tasks and schedules.
  • AI-Driven Task Allocation: Automated and optimized task allocation to enhance efficiency.
  • Robust Reporting: Detailed reports and analytics for informed decision-making.
  • Secure Data Handling: Ensured data security and compliance with industry standards.

Outcome: The implementation of the CRM for CMRL has revolutionized vendor management and maintenance operations. The application has enhanced efficiency through AI-driven task allocation, predictive maintenance, and real-time tracking. The comprehensive platform ensures seamless management of departments, vendor contracts, and maintenance activities. The integration of AI and ML technologies has enabled predictive analytics, enhanced complaint resolution, and optimized operational efficiency, delivering significant value to CMRL.