Case Study: Large Commercial Aftermarket Supplier regains market share and boosts win rates with Pricefx

Large Commercial Aftermarket Supplier - Customer Case Study

Large Commercial Aftermarket Supplier had been losing market share because its legacy pricing software was too simplistic and error-prone. The division needed a predictive, automated pricing model that could factor in external variables (seasonality, vehicle make/model, weather, competitor data) and handle high volume—over 2 million transactions annually and some 5,000 carrier partners—to eliminate pricing errors and speed quoting. They engaged Pricefx to modernize their pricing stack.

Pricefx delivered a cloud-native, machine-learning-driven pricing solution—using PriceBuilder, PriceOptimizer and PriceAnalyzer, integrated with Google Maps API and Salesforce—that predicts willingness to pay, automates bidding and accurately calculates lane distances. Implemented in under five months, the solution improved price accuracy, stopped underpricing, increased margins, accelerated quoting and helped the customer claw back market share and substantially boost win rates.