See how cloud-based technology solutions can alleviate many of the problems that once made analyzing unstructured data so difficult, and advances in machine learning, artificial intelligence and voice recognition will continue to improve these retail processes.
Retailers that have a higher percentage of identifiable transactions (for example, BOP traffic) will be able to predict with higher precision what offers are most likely to land with their customers as well as are in a better position to create and forecast traffic.
Helping retailers compete by making better use of their data, Oracle continues to weave significant artificial intelligence (AI) and machine learning capabilities into its Retail Insights and Science Suite.
Customer-focused retailers who deliver the right product and promotion through the most effective channel, at the right time, individualize promotion. Learn how a fit-for-retail-purpose customer relationship management (CRM) platform integrates customer insights to drive and support omnichannel customer journeys.
Learn how AI and Machine Learning are changing loss prevention analytics. The latest enhancement to Oracle Retail XBRi Loss Prevention Cloud Service leverages the power of Oracle Retail Science by using machine learning to help retailers detect fraud by working in concert and enhancing rules-based techniques.