We’ve recently partnered with a leading telecom company to digitize a complaint management system for one of their customers. The solution enables automated complaint creation through email, driven by error-ranking validation—bringing speed, accuracy, and intelligence to issue management. The primary objective of this initiative was to automate and digitize the client’s existing metro-station complaint management process across Bangalore, Mumbai, and Delhi—driving higher operational efficiency, improved customer experience, and enhanced data visibility. The client used to receive daily customer complaints via email related to service issues across metro stations in these three major cities. These complaints were manually forwarded to field engineers, who inspect the issue, carry out the necessary repairs, and submit their updates through manual reports to management. This largely manual process limited their real-time visibility, delayed resolution, and restricted actionable insights—m...

This blog highlights a practical use case of Cloudtrac Solution platform , purpose-built for the evolving needs of the Indian Quick Service Restaurant (QSR) ecosystem . As QSR brands race to expand their footprint, operational scalability—especially in back-of-house maintenance—has emerged as a critical yet underserved challenge. The Market Opportunity: Scaling Without Operational Debt India’s QSR market is expanding at an unprecedented pace, with many brands scaling from 50 to 500+ outlets within a few years . While front-of-house systems such as POS and delivery platforms scale rapidly, back-of-house (BoH) maintenance operations often lag behind , remaining manual, reactive, and fragmented. Maintenance requests are typically managed through informal channels such as WhatsApp messages, emails, and spreadsheets , creating what we call a “Maintenance Void.” This results in: High Mean Time to Repair (MTTR) due to delayed response and poor coordination Limited real-time visibil...

In our continuous effort to enhance operational efficiency and reduce costs, we’ve introduced a smart enhancement to the service ticketing system using our Cloudtrac platform — combining Corrective Maintenance (CM) and Preventive Maintenance (PM) activities into a single visit wherever applicable. By allowing both CM and PM processes to be carried out together, we can minimize redundant site visits, optimize engineer time, and deliver faster resolutions to customers. Key Enhancements in the Ticketing Process Duplicate Serial Number Check Before creating a new service ticket, the system now checks for duplicate serial numbers. Each serial number is unique across all sites. When a new CM ticket is created, the system automatically checks if another ticket for the same serial number already exists. It displays the open CM tickets, their current status, AMC details, creation date, and other relevant information. This helps engineers quickly assess existing cases and avoid duplicate e...

When a leading multinational in the power products industry approached Vitamap, they were struggling with a familiar challenge— warranty support stuck in the past . An aging tool, endless spreadsheets, and disconnected processes meant service delays, minimal automation, and zero visibility into critical metrics like part costs and service expenses. The result? Frustrated customers, wasted resources, and inefficiencies at every turn. With our Cloudtrac automation platform and the mEdge field service app, we set out to transform their warranty service into a streamlined, transparent, and highly efficient operation. But technology was only part of the solution—our professional services team worked closely with the client to redesign the service process from the ground up. We built a single, unified platform where warehouse teams, service engineers, customers, and service partners could collaborate seamlessly. Easy-to-use action boards replaced fragmented communication, ensuring every s...

As part of the client’s solution requirements, Vitamap delivered a smooth integration between Nokia OSS and Cloudtrac Platform for handling Site Work Oder activities for a leading Telecom Company in India. Cloudtrac WFM was configured with the required Site Work Oder workflows, parameters, and app settings, with detailed API documentation created for message templates. The process ensures real-time coordination between systems. Nokia OSS triggers Site Work Oder field activities step-by-step via API. These activities are sent to Cloudtrac Platform , which assigns them to the respective field engineers. Field engineers update their progress and results directly in Cloudtrac Platform . The updated data is sent back to Nokia OSS automatically via API. Detailed Process: Nokia OSS pushes Site Work Order field activities step-by-step via API to Cloudtrac Platform . The coordinator allocates these activities to the appropriate technicians. Technicians receive their assignments in the mEd...

In projects involving multiple sites, accurate location tracking plays a crucial role in ensuring data integrity and accountability. Each site is mapped within a defined polygon area and tagged with specific latitude-longitude coordinates. To streamline operations, The Cloudtrac platform uses geofencing to manage Field Executive (FE) actions: Check-in Validation : FEs must be physically within the project polygon to check in. Attempts outside this boundary will trigger an error. Status Update Restrictions : Once a service ticket is created, the FE must be within a 200-meter radius of the designated site to update the ticket status. Error Prompt : If an FE tries to update status from outside this 200-meter radius, they will receive an alert: "Your location is out of the premises to update the Status! Please be in the 200 mtrs radius to update the Status." Expanding Geo-Fencing Capabilities for Scalable Field Operations Accurate location logging not only improves operationa...