Case Study: a leading global distributing company boosts margins with QueBIT Price Optimization

Maximize Margins, Retain Customers, and Grow Market Share Through Optimal Pricing

QueBIT worked with a leading global distributing company, a global distributor of specialty automotive repair parts and accessories, to improve a pricing process strained by supply cost volatility, OE pricing changes, part quality issues, and a demanding customer base. The company needed a more cost-effective way to manage pricing for 200,000 parts across 10 cost regions, but its legacy Excel-based approach was slow, inconsistent, and hard to automate. QueBIT used IBM Planning Analytics along with IBM SPSS Modeler and QueBIT Euclid to modernize the process.

QueBIT implemented a pricing optimization solution that automated calculations, improved pricing logic, and gave users visibility into recommendations and historical and projected margin impacts through Planning Analytics Workspace. The new approach reduced manual pricing work by 2-3 days per week, cut a pricing review that once took 2-3 days to less than an hour, and provided complete traceability into how prices were calculated. The company also gained the ability to update pricing logic in minutes and identified more than $48 million in incremental margin potential.