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Success Stories

OSS Group doesn’t just run your IT, we reinvent it.

University Of Auckland Owen G Glen OGG Building

The University of Auckland

The UoA required a knowledgeable integration architect to work with the applications and architecture teams to understand the business needs, understand the back-end interfaces it has today and then produce an architecture for the university API.

The Approach

OSS Group undertook a number of workshops with stakeholders from The University to achieve the project objectives:

  • Review current architecture including existing tools
  • Model capabilities of ITS development team
  • Create model for target architecture
  • Map capabilities to target architecture
  • Develop a high-level, conceptual specification for the future API
  • Develop a list of tools required to build, access and support the API

The Results

OSS Group achieved the objectives with the following results:

  • An architecture which provides the functions and capabilities required to support the API
  • A high-level design for the API
  • A recommendation of the tools required to implement and support the architecture and API

 

mitre10-mega-768x375

Mitre 10 Mega

Mitre 10 sought to increase its online transactions through automation and integration between its retail web shop and its back-end systems.

The Approach

Mitre 10 relied on OSS Group to provide design, implementation and support services to integrate their retail website with their individual store sales and order management systems using MuleSoft’s Enterprise Service Bus (ESB) Community Edition. The personal attention of OSS Group Director Ian Soffe and his commitment to “doing whatever needed to be done” made all the difference in ensuring the successful delivery of this key integration component that connected previously isolated systems and enabled Mitre 10’s launch of its revamped “Home Delivery” and new “Collect in Store” online shopping services.

The Results

Ordering processes that required manual keying of data from one system into another were automated to send orders directly to the fulfilling store’s retail system.
 
This delivery process logic included robust routing and queuing logic that catered for multiple independent stores and target systems being offline for scheduled end-of-day processing.
 
This has reduced errors and processing time, improved customer satisfaction and directly contributed to growth in transactions through the launch of the “Collect in Store” service.