PROS
130 Case Studies
A PROS Case Study
A Fortune 500 fuel supplier faced a high-stakes pricing challenge in a volatile fuels market, where prices changed hourly and teams relied on manual spreadsheets, guesswork, and slow processes to analyze thousands of data points each day. The company needed a faster, more precise way to predict competitor moves and optimize pricing, and it partnered with PROS, using AI-powered pricing and revenue software to modernize its approach.
PROS implemented a dynamic pricing solution that automated pricing cycles, improved forecasting with machine learning, and integrated with the supplier’s SAP environment. The impact was immediate: pricing adjustments that once took 9 to 10 hours now take about 10 minutes, pricing accuracy improved from within two cents to one cent per gallon, and the company generated more than $300,000 in revenue in the first month and over $1.8 million in incremental revenue within six months.
Fortune 500 Fuel Supplier