All Case Studies
Transportation32 weeks

Metro Transit Authority

Legacy ticketing and scheduling systems causing 12% revenue leakage, passenger frustration with outdated apps, and inability to scale during peak hours.

12%→0.3%
Revenue Leakage Fixed
+65%
App Performance
10x
Peak Scalability

The Challenge

Legacy ticketing and scheduling systems causing 12% revenue leakage, passenger frustration with outdated apps, and inability to scale during peak hours.

Our Solution

Byteflu rebuilt the ticketing platform on cloud-native microservices architecture, implemented account-based ticketing with mobile-first UX, and deployed auto-scaling infrastructure handling 10x peak loads without degradation.

Services Deployed

  • Application Management
  • Automation Services

Our Approach

Timeline: 32 weeks
  1. 1

    Audited legacy ticketing system identifying revenue leakage points

  2. 2

    Designed microservices architecture for ticketing, payments, and scheduling

  3. 3

    Migrated to Kubernetes with horizontal pod autoscaling for peak handling

  4. 4

    Built new passenger mobile app with real-time ETAs and mobile ticketing

  5. 5

    Implemented reconciliation engine eliminating revenue leakage

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