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Better Predictability by Developing a Real-time Vehicle & Parts Locator

Bringing end to end traceability and tracking for parts and vehicles in the supply chain

Global Vehicle OEM in European Market

Challenge

Better Predictability by Developing a Real-time Vehicle & Parts Locator - Challenge
  • Dealers, Parts Suppliers, OEMs, Logistics partners need visibility into where is the part or vehicle.
  • Building an end to end traceability system needs data from mainframe.
  • Real time query of mainframe data has performance impact.
  • Mainframe CDC software options are expensive.
  • 27 Countries across the continent follows different variations to processes.
Better Predictability by Developing a Real-time Vehicle & Parts Locator - Challenge
Better Predictability by Developing a Real-time Vehicle & Parts Locator - Solution

Solution

Better Predictability by Developing a Real-time Vehicle & Parts Locator - Solution
  • Build and deployed cloud native solution on Heroku Cloud.
  • Purpose driven materialized views on mainframe provided data, refreshed periodically on change events.
  • Used Spring based webservices on top of Apache Camel for data transformations, duly cached exposed through Jetty Servers.
  • Client systems on Heroku processed data from mainframe wrapper services and used on part/vehicle locators and business reports.

Benefits

Better Predictability by Developing a Real-time Vehicle & Parts Locator - Benefits
  • Near real time end to end traceability of parts and vehicles were made possible.
  • Highly available services on cloud provided interruption free operations.
  • Boosted predictability for Suppliers, Dealers at hours level than days.
  • Enabled faster fulfillment for end customer and improved the brand image for OEM.
Better Predictability by Developing a Real-time Vehicle & Parts Locator - Benefits