Kantar has launched RichMix eAssort, an assortment optimization tool designed to use transferable demand curves to measure the incremental impact of changing the items and facings in a retailer’s mix as a means to maximize growth. The software uses machine learning-based predictive modeling to derive a granular view of which products and tactics will achieve the greatest growth in the ecommerce environment.
RichMix eAssort analyzes a range of data, including daily or weekly SKU-level sales, margin and returns data, in combination with digital shelf data, website traffic, reviews and ratings, organic and paid search performance, and price and promotions. The platform then provides forecast category assortment and brand portfolio insights, including segment and SKU prioritization and rationalization opportunities, SKU investment scenarios (e.g., search, promo), seasonal planning and “white space” assessment.
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