SAP unifies fragmented commerce data to enable AI-driven personalisation at scale
By
Ryan Daws
Summary
SAP is working to unify fragmented commerce data structures to enable operational AI personalisation at the execution layer. While enterprises set goals for anticipating customer needs and delivering relevant interactions across digital channels, their underlying infrastructure fails to support systematic execution at scale. Recommendation engines show generic product listings due to isolated behavioral data, and marketing departments send emails based on rigid calendar schedules rather than real-time customer signals.
Source
Key quotes
· 4 pulledEnterprise leadership routinely establishes objectives to anticipate customer requirements and deliver relevant interactions across digital touchpoints.
However, the actual infrastructure running inside these enterprises fails to support systematic execution at the required volume.
Recommendation engines display generic product listings because the underlying behavioural data remains isolated.
Marketing departments dispatch email communications based on rigid calendar schedules rather
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