Recommendation engines influenced 19% of all eCommerce orders in 2024, driving $229 billion in global online sales during the holiday season alone. But here’s what most teams overlook: the recommendation model gets all the attention, while the data pipeline determines whether it actually works.

A recommendation engine trained on batch-processed data is making decisions about a customer who existed hours ago, with real-time sales potential going unseen. By the time it catches up, that intent has expired and the prospect has moved on.

Download this playbook to discover how to put personalised AI recommendations into practice.