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...