- How to move beyond channel-focused marketing to orchestrated, personalized, cross-channel customer journeys.
- Proven tactics to operationalize predictive AI and recommendation engines without adding operational complexity.
- Ways to build a smarter foundation for customer engagement — and accelerate success with the right strategic enhancements.
- Lessons learned from real-world retail execution, including engagement lifts, revenue growth, and operational efficiencies.
- On-Demand
- Webinar
Presented by Blueshift and Solvenna
Smarter, Faster, More Human: How AI is Redefining Retail Engagement
Inside one retailer’s journey to orchestrate real-time, cross-channel experiences with AI and data
Today’s customers don’t want spammy promos. They want personal. They want now. And they want it everywhere they interact with your brand.
Join us to discover how Trulieve, one of the nation’s largest cannabis retailers, reimagined its customer engagement, scaling from fragmented outreach to intelligent, AI-driven journeys that increase engagement, such as a ~40% open rate.
You’ll hear their story of shifting manual buyer segments to orchestrated, personalized moments across channels, with an accelerated time-to-value. This session provides a blueprint for evolving faster, engaging deeper, and building loyalty in a fast-changing world.
Key Discussion Topics
Real-World Outcomes from AI in Action
How affinity modeling, churn prediction, product recommendations, and real-time triggers powered measurable business outcomes, such as an over 2% increase in revenue generated by predictive models and recommendations alone.
Scaling Engagement Informed by Data
How Blueshift and Solvenna helped retailers harness their data and operationalize 100+ personalized campaigns weekly across millions of customers, with fewer manual touchpoints and more dynamic customer journeys.
Lessons for the Modern Marketer
How today’s scrappy teams are navigating fewer resources, dodging digital transformation disasters, and rethinking the whole “Crawl > Walk > Run” playbook with smarter ways to unlock AI’s full potential (without the breakdowns or burnout).
