This case study is about Sephora, a multinational luxury beauty retailer, which aimed to enhance its competitive intelligence across nine countries. Initially, Sephora faced challenges with a lack of a scalable and unified approach to competitive intelligence, limited understanding of competitors’ advantages, and incomplete pricing and sentiment analysis. A proof of concept (POC) was implemented in two countries, where a custom data-scraping solution was developed to track shelf prices, coupon prices, and customer reviews. The POC successfully delivered 97,500 data points with 98% match quality and 99% data quality. After the POC, Sephora scaled the solution to nine countries, covering 17 competitor websites and four marketplaces, delivering nearly three million data points monthly.

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