AI case study

Delhi Metro Rail Corporation (DMRC)Predictive maintenance strategy

Crews chased breakdowns on 400km of track. Now, sensors predict failures, letting teams fix parts before service stops.

Published|1 month ago

Key results

Maintenance Cost Reduction
15%
Failure Rate Reduction
25%

Result highlights

Unlock 2 result highlights

The story

Context

One of the world’s largest metro networks operates 400+ km of track serving over 7 million daily passenger journeys in India's capital.

Challenge

Critical infrastructure relied on a reactive "break and fix" maintenance model, creating operational risks for the massive network. This manual...

Solution
Unlock full story

The company

Delhi Metro Rail Corporation (DMRC) logo

Delhi Metro Rail Corporation (DMRC)

delhimetrorail.com

Public rail transit network for Delhi and its surrounding satellite cities.

IndustryGovernment & Public Sector
LocationNew Delhi, DL, India
Employees10K-50K
Founded1995

The implementation partner

Boston Consulting Group logo

Boston Consulting Group

bcg.com

Collaborated with DMRC and BCG to reimagine metro operations via the JICA DXLab program.

IndustryProfessional Services
LocationBoston, MA, USA
Employees10K-50K
Founded1963

Similar Case Studies

Related implementations across industries and use cases

52 AI case studies in Predictive Maintenance

100 AI case studies in Government & Public Sector

212 AI case studies in Operations