The World’s Largest Pure-Play Coffee Company
Launches Full Lead-to-Cash Stack in 14 Months
Amazing what you guys pulled off! Performance improvement of +700% on our ALM process is something we could never dream of.
Imagine taking a coffee break every time you want to calculate a contract price.
As a medical device manufacturer, Philips Healthcare offers complex products with hundreds of configurable options, each requiring specific pricing on quotes. Out-of-the-box functionality couldn’t support this level of complexity, so Philips tried for years to customize their own Conga-based Lead-to-Cash system—to frustrating results.
After four years of work, users still resisted transitioning from their legacy CPQ application to a Conga solution. They pointed out that quote price calculations could take two minutes for a typical quote, and exponentially longer on quotes listing a lot of products. Quarterly full catalog updates delayed using new pricing data for weeks and couldn’t even include all their pricing data without threatening scalability and deteriorating the catalog update process even further.
CommerceCX Comes Onboard
Philips approached CommerceCX after learning about how we helped JDE Peet’s improve their system performance by over 700% by reconfiguring their Lead-to-Cash implementation. After getting to know Philips’s pricing model and requirements, we proposed that we could reduce their pricing data volume from 17 million rows of data to 1 million, accelerating their quoting process, ensuring fast and accurate contract pricing, and boosting their user and customer experience. Our solution: