SAP has made a significant move to unlock personalization in customer experiences by aligning fragmented commerce data structures. This alignment enables the operational use of artificial intelligence to personalize interactions across digital touchpoints. However, existing infrastructure struggles to keep pace with the high volume of data and complex business objectives.
Enterprise leaders typically set clear goals for anticipating customer needs and delivering relevant responses through AI-driven personalization. Yet, the underlying infrastructure often falls short in supporting systematic execution at scale. As a result, recommendation engines often display generic product listings instead of tailored solutions that cater to individual customers' preferences.
By aligning commerce data structures at the execution layer, SAP has made it possible for its recommendation engines to provide more accurate and relevant results. This development is expected to further enhance personalization capabilities across various digital touchpoints within enterprises, ultimately leading to enhanced customer experiences.