Case Study: Large Audiobook Retailer achieves 23% higher match accuracy with QL2 Software

Large Audiobook Retailer - Customer Case Study

Large Audiobook Retailer worked with QL2 Software to better understand inventory across competitors, focusing on two challenges: identifying catalog exclusivity and measuring overlap with competing audiobook sellers. The company needed a way to compare titles accurately even when exact identifiers like ISBN were missing or messy, while also tracking how competitors made content available through subscriptions.

QL2 Software implemented its supervised machine learning approach to assign weighted factors to title attributes and improve match quality beyond ISBN alone. This reduced the time spent on manual verification and delivered a 23% increase in match accuracy, while also giving the CEO clearer visibility into performance and enabling broader data use across marketing and other teams.