Personalized experiences are now a baseline customer expectation, with research showing that 67 percent of consumers expect personalized online shopping experiences. It is no surprise, then, that personalization has been found to create between 5 – 25 percent uplift in revenue. This session brings together leaders from Apple and Walmart to explore how advanced recommendation systems, powered by LLMs and behavioral data, shape customer journeys from discovery to purchase, and how to balance relevance with trust and control.

Scaling personalization across millions of users introduces unique challenges: managing huge data volumes, keeping models functional under enormous loads, and ensuring recommendations remain relevant rather than generic or intrusive. Attendees will get a practitioner’s view into these trade offs and how intent driven systems (like app store ads or ecommerce discoverability layers) are evolving to meet them.

Attendees will learn:

• Key strategies for building and evolving LLM powered recommendation systems that boost engagement and revenue.
• How to maintain relevance and measure success at enterprise scale.
• Best practices for aligning personalization technologies with brand experience and customer trust.