Case study
A global retailer generated $3.4 million in value from better decisions and time savings
A major global retailer wanted to identify assortments driving the most benefit to the business to inform product optimization. Additionally, the retailer wanted to evaluate sales performance of new and replaced items, pricing and promotion strategies and category performance over time.
Several teams across separate business areas were quickly trained to perform rapid analyses of transaction-level data using Market Basket Analyzer. With direct access to the dataset, analysts using the software observed a 10x increase in speed to insights.
Market Basket Analyzer efficiently enhanced decision making across assortment optimization, new item introduction, pricing and promotion and category review processes. By applying the product’s recommendations in these four areas, the retailer generated $3.4 million in value from better decisions and time savings annually.