The number of displays in any store is limited, therefore decisions regarding which products to place in these high-value locations need to be strategic and produce the highest revenue or profit lift. While a typical large grocery retail store may have anywhere from 60,000 to 300,000 SKUs, on average, it will have just 36 endcaps. With this in mind, Oracle Retail data scientists teamed up with Moore School to help retailers optimize product placement in these critical positions, which give products a 93% increase in exposure.