Use AI-powered analytics to create offers your customers want to see. Efficiently and effectively develop strategies to anticipate and influence your customers’ next moves and deliver the right offers.
See retail AI in action
Align service levels to targets with the minimum amount of inventory and drive a reduction in working capital.Explore Retail Inventory Optimization
Identify actionable merchandising opportunities across touchpoints, including back orders and returns, top/bottom sellers, demand, fulfillment, and price and promotion analysis.Explore Retail Merchandising Insights
Drive recommendations for optimal promotions, markdowns, and targeted offers that maximize profits and sell through.Explore Retail Offer Optimization
Deliver customer-specific insights derived from analysis of segmentation, demographics, market basket, product affinity, and promotion performance to design marketing programs that convert.Explore Retail Consumer Insights
“We took a holistic view of our current planning system and realized we had the opportunity to replace other systems as well. We wanted to take advantage of the scientific advances available to us.”
VP Merchandising, Planning and Allocation, Helzberg Diamonds
Optimize assortments to available space to maximize planogram performance, return on space, sales, and revenue and profits, while improving customer satisfaction with the optimal assortment for each store.Explore Retail Assortment and Space Optimization
Use embedded, retail-specific AI and machine learning to improve every aspect of merchandise planning, leveraging customer segment decision trees, demand transference analysis, size profile optimization, space allocation optimization, and planogram performance data.Explore Retail Science Platform
Antony Wildey, Vice President, Oracle
Learn about three real-life retail business opportunities where data can help brands build a more personalized shopping experience and take offerings to the next level.Read the complete post
Retailers can use contextual intelligence to build more nuanced and granular consumer profiles, helping them understand their best customers even better than before.
“Oracle demonstrated above-par capabilities in customer segmentation, store cluster-sensitive assortment planning, merchandise financial planning, planning for operational efficiency, and initial order, replenishment, and allocation.”
Oracle's Retail Asset Community Knowledge (RACK) portal is a treasure trove of material ranging from Oracle Retail customer journeys to global event proceedings and the latest updates on Oracle Retail roadmaps.