Business scenario
Managing online transactions quickly and reliably: a business scenarioThis scenario shows how the integration between IBM WebSphere MQ and HCL Workload Automation implements an integrated message queuing infrastructure that can transfer large amounts of information between applications in the network in near real-time while at the same time using the job scheduling and monitoring features of HCL Workload Automation. IBM WebSphere MQ delivers a reliable infrastructure for transaction data and file-based information with a relatively small footprint.
Scenario goal
This scenario shows how the HCL Workload Automation and IBM WebSphere MQ integration is a resilient, scalable, and reliable solution for end-to-end file management and job scheduling in a secure environment.
Business Scenario
Ripley's Organic Shop is a large retailer, specializing in organic food, health, and wellbeing products. The shop is based in the U.K. and has branches in several European countries. It wants to take advantage of the increasing interest for natural and biological products and plans to increase its market share by joining the online market and providing European-wide delivery. It therefore needs a robust infrastructure to quickly manage online purchases. This is especially important in today's competitive Internet market, where competition is increasing by the hour.
To achieve this objective, Ripley's Organic Shop needs a software offering that can provide multiple platform support, while at the same time automating purchase notification to the warehouse to allow the shipping process to start as soon as possible. Having a timely and efficient delivery is vital when competing on the Internet and trying to gain and retain new customers.
By deploying an integrated solution that uses IBM WebSphere MQ and HCL Workload Automation, the company can generate an MQ message as soon as a customer makes an order; an HCL Workload Automation job listens for the message and when it receives it, starts an HCL Workload Automation job stream.
The job stream contains a number of jobs that send all the details of the order to the warehouse. When the order has completed and all the items are packaged and ready to be shipped, a dependency is released on two jobs in the job stream, one that notifies the delivery service that the package is ready to be collected from the warehouse and delivered to the customer and the other to send an email or text message to the customer with the shipment tracking number and the status of the order.