This Fortune 1000 company is a global leader in data storage technology and manufacturing. The company sells extremely complex products with large numbers of configuration options and rules, exceeding what Siebel can handle and still deliver acceptable customer-facing response times. This made the partner-facing quoting process for complex solutions too unwieldy, slow, and training-intensive, and increased internal operational costs to get proposals to customers.
aMind Accelerates Configurator Performance
Using its aMind Web Framework, aMind drastically reduced the launch, response, and save time for the configurator. With minimal changes to the existing Siebel functionality, aMind leveraged the aMind Web Framework to eliminate performance bottlenecks in the complex configurator model – implementing a component-focused set of small product models that perform well to replace a monolithic, slow product model. The aMind Web Framework also enabled time-saving new features such as suggestive catalog search, a collaboration engine, and a data-driven user interface.
Dramatically Improved Quoting Performance and Usability
The aMind solution delivered extremely positive results, including:
- Reduced configurator time to launch by 90%
- Reduced configurator click-to-click time by 80%
- Reduced “done” button save time by 75%