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Home / Case Studies: Philips

CPQ Solutions

Accelerate Lead to Cash Implementation at Philips

Client Overview
PHILIPS, USA

Philips, One of the World's Top 5 Medical Devices Companies.

Sells MRIs, ultrasound machines, pacemakers, x-ray machines, surgical machines, and other similar products.

Contracts with multiple group purchasing organizations and integrated delivery networks that supply much-needed equipment to hospitals.

PHILIPS, USA

  • Philips, One of the World's Top 5 Medical Devices Companies.

  • Sells MRIs, ultrasound machines, pacemakers, x-ray machines, surgical machines, and other similar products.

  • Contracts with multiple group purchasing organizations and integrated delivery networks that supply much-needed equipment to hospitals.

BACKGROUND

In our partnership with Conga, we at CommerceCX tackled a significant challenge for Philips: the cumbersome task of managing and updating vast amounts of pricing data. Philips faced delays in utilizing new pricing data for quotes due to a process that generated millions of rows of data, making pricing calculations for quotes laboriously slow.

Philips Healthcare Cuts Pricing Calculation Time by 85% by Reducing Pricing Data Volume.

“Speed of quote generation is just one aspect of this solution. The most important part is the confidence that error-free quotes gave our Sales personnel.”

– Business Process Owner, Philips

THE SOLUTION

Leveraging the capabilities of ScaleFluidly's PriceCX as an accelerator within Conga's CPQ and CLM frameworks, we devised a solution that streamlined Philips' pricing data management. This integration markedly reduced the time required for updates and price calculations, transforming a weeks-long process into a much more efficient operation. Our innovative approach significantly reduced Philips's data load from 17 million rows to just 1 million, covering all necessary pricing use cases. This optimization resulted in an 85% reduction in pricing computation time, revolutionizing their operational efficiency.

Philips Reduces 17 Million
Rows of data to 1 Million

THE RESULTS

Reducing pricing and discount calculations from two minutes to less than half a second had immediate effects. Our solution impacted Philips by:

Reducing time spent on simple calculations by 85%.

Enabling integration of North American region and pricing data, giving Philips 100% data visibility of product and pricing data.

Shortening sales cycles and promoting better revenue visibility.

Ensuring accurate pricing and discounts by eliminating redundant and junk data.

Increasing customer satisfaction by providing fast, accurate quotes.

Bolstering Conga adoption through improving user experience.

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