Retail Artificial Intelligence and Analytics
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
How our customers experience Oracle Retail
Deliver smarter retail experiences at scale with artificial intelligence
Optimize your daily replenishment
Align service levels to targets with the minimum amount of inventory and drive a reduction in working capital.
Explore Retail Inventory OptimizationEvaluate sales and profit contribution by division
Identify actionable merchandising opportunities across touchpoints, including back orders and returns, top/bottom sellers, demand, fulfillment, and price and promotion analysis.
Explore Retail Merchandising InsightsMaximize results with price optimization
Drive recommendations for optimal promotions, markdowns, and targeted offers that maximize profits and sell through.
Explore Retail Offer OptimizationUnderstand your customers and their behavior
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.”
Nathan Gray
VP Merchandising, Planning and Allocation, Helzberg Diamonds
Drive return on inventory and space
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 OptimizationBuild a profitable inventory mix with retail AI
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 PlatformHow technology fuels the next level of retail personalization
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.
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Contextual Insights in Retail
Retailers can use contextual intelligence to build more nuanced and granular consumer profiles, helping them understand their best customers even better than before.
The Forrester Wave™: Retail Planning, Q1 2020
“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.”
Discover how retailers everywhere are leveraging retail technology
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.