QL2 collaborated with an auto part retailer facing challenges in matching products due to missing data and non-unique model numbers. Their previous vendor provided poor data comparisons, such as mismatching a bearing with a rug. The retailer sought to improve scalability, receive accurate product interchanges, and gain better insights into their assortment strategies. QL2's data collection technology helped the retailer receive reliable product matches based on vehicle fitment, increase scalability, and provide regional visibility, which reduced manual in-store efforts and allowed better pricing and inventory decisions.

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