JL SMART – SERVICES

JL SMART – SERVICES is a comprehensive application that automates and digitizes the service processes and activities carried out by mechanics, engineers, and other department members. It streamlines the maintenance and service operations for Johnson Lifts and Escalators, enhancing efficiency and accountability through real-time tracking and management features. The implementation of AI and ML algorithms further optimizes task assignment, predictive maintenance, and resource allocation.

• Technicians
• Engineers
• Branch Level Admin
• Super Admin

• Breakdown Service: Technicians can manage new and paused jobs, ensuring priority tasks are addressed promptly.
• Preventive Service: Scheduled maintenance tasks are automatically assigned and tracked, ensuring optimal equipment performance through predictive maintenance powered by AI.
• LR Service: Allows technicians to manage new and paused jobs with digital review and approval by engineers.
• Parts Replacement Acknowledgment: Technicians request part replacements, which are acknowledged and managed by engineers.
• Failure Report Request: Streamlined process for reporting and managing equipment failures, with ML algorithms analyzing failure patterns for proactive solutions.
• Rope Maintenance: Specific module for rope maintenance tasks.
• Site Repair Work Request: Technicians can create, manage, and track repair work requests.

• Attendance Management: Track check-in and check-out times with location details.
• Live Tracking & Location History: Monitor employee locations and job activities in real-time.
• Two-Way Communication: Seamless communication between technicians and admins.
• Mobile Van Integration: Efficient management of mobile service units.
• Parts QR and Bar-Code Integration: Simplified parts management using QR and bar-code scanning.
• Digital Signature Capture: Secure and verifiable digital signatures for job completions.
• Hierarchy-Based Access Control: Role-based access permissions to ensure data security and proper task allocation.
• AI-Driven Analytics: Utilize AI to analyze operational data, providing insights for continuous improvement and strategic decision-making.
• Machine Learning Predictions: ML models predict maintenance needs, reducing downtime and enhancing operational efficiency.

Outcome: The implementation of JL SMART – SERVICES has significantly improved the maintenance and service operations of Johnson Lifts and Escalators. The application has enhanced the efficiency of job tracking and management, reduced downtime, and ensured timely completion of maintenance tasks. The digital transformation, powered by AI and ML, has provided valuable insights into operational performance, enabling better decision-making and continuous improvement.