To solve this, DMRC partnered with Deloitte to build a Data Center of Excellence (DCoE) on Google Cloud, selected for its ability to handle massive scale securely. For example, forecasting asset failures—across rolling stock, signalling gears, traction systems, lifts, and escalators—was a challenge due to a reliance on prevalent maintenance practice and manual monitoring of DMRC’s stations. This meant teams were often reacting to problems after they appeared, rather than preventing them, which increased the risk of service disruptions and delays for passengers.

With Google Cloud, DMRC is now able to process high-volume data from engineered assets in real time. This shift allows maintenance teams to work with the precision of an F1 pit crew, utilizing Vertex AI to identify early fault patterns, such as door malfunctions or wire sagging, before they cause delays. This transition is transforming maintenance from a manual chore into a strategic advantage, monitoring 300+ standardized KPIs to target a 10-20% reduction in downtime and ensure smoother rides for millions of passengers every day.

Beyond the engineering teams, the platform empowers leadership through an interactive app interface built on Google Cloud, which provides real-time visibility into operational performance and enables timely strategic interventions from anywhere. In the background, Cloud SQL is used for maintaining logs and configuration tables, while Cloud Run is used for all small transactional processing functions. Underpinning all of this is a modular cloud architecture that standardizes data integration, ensuring that as DMRC expands its network, this digital backbone is ready to scale with it.

This initiative by DMRC, with support from Deloitte, marks a transformative leap toward a smarter, more passenger-centric urban transit ecosystem. By moving from fragmented silos to a unified cloud-based platform, DMRC has achieved 100% faster access to operational information, creating a single source of truth for decision-making.

Looking ahead, the value of this DCoE extends well beyond its current daily operations. It is designed with future expansion in mind, given the platform utilizes a modular cloud architecture that acts as a reusable framework for new lines and projects. This strategy allows DMRC to leverage reusable cloud assets, significantly reducing redundant development efforts and costs as the network grows.

This shift to automated reporting also drives substantial workforce optimization, eliminating the need for ad-hoc dashboard generation and allowing teams to focus on strategic improvements rather than data extraction.

Ultimately, with Google Cloud solutions, DMRC positions itself as a standard-bearer for the global transit industry—optimizing travel for Delhi’s commuters while emerging as a global leader in metro analytics. This sets the stage for international collaboration, proving that a digital-first approach can redefine what is possible in public transportation efficiency.