For many digital teams, search and recommendations are foundational to the customer experience, yet they’re often built on fragmented, legacy systems that struggle to keep up with rising expectations. As shoppers become more specific and accustomed to personalized experiences, “no results found” is no longer acceptable.
In this session, Dianna Lyngholm, Director of Creative & Website at HalloweenCostumes.com (part of umbrella brand, Fun.com) will share how the online retailer modernized its digital search and discovery experience by rethinking how AI-powered recommendations and search work together. After years of relying on a combination of homegrown search and third-party recommendation tools, the team took a research-led approach to upgrading its stack, evaluating several solutions, A/B testing, and prioritizing relevance, personalization, and long-tail discovery over quick fixes.
The session will unpack what it takes to implement modern, AI-driven discovery on a highly customized platform. From handling cold-start search and seasonal demand to aligning internal teams, our discussion will take a look at the challenges involved in upgrading search and recommendations systems and reveal how Fun.com approached them. Attendees will also hear how better search and recommendation design can unlock measurable CX and revenue gains while maintaining internal trust and control.
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What happens when you stop treating AI as a cost-cutting tool and start treating it like a team member you can train, test, and promote? Norse Atlantic CPO Alf Lim shares how the digital-first airline partnered with delight.ai to transform its customer service operation, running a rigorous AB test before full deployment, scaling progressively as the data proved it out, and ultimately creating an entirely new role: the Customer Service AI Manager. This session explores what it really takes to deploy AI in a customer-facing environment, how to measure success beyond deflection rates, and what the next generation of CX teams actually looks like.
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Digital CX leaders are navigating a major shift in the zeitgeist. Customers are no longer interacting solely within brand-owned channels, and brands no longer fully control customer journeys. Customers don't move predictably from awareness to purchase, they enter (and exit) at multiple touchpoints, influenced by social content, communities, video commerce and peer engagement. Many organizations, however, still design around outdated funnel models, focusing heavily on point of sale while overlooking the wider ecosystem of interaction and influence shaping customer decisions.
LLMs, predictive modelling and emerging agentic commerce infrastructure are reshaping how and why decisions are made, sometimes before customers even reach a website or app. This introduces both opportunity and complexity because, while AI enables greater relevance and efficiency, it can also reduce transparency and explainability while amplifying poor data and making experience outcomes harder to interpret.
In this session, Anne-Kathrine Nissen, Experience Design Lead at H&M, and Liliana Caimacun, drawing on her background in marketing, transformation and innovation, as well as her work in academia and consulting, to explore what it means to lead digital CX in this new environment.
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Your customers experience every interaction with your company as a single experience. They are rarely interested in how you organize yourself as a company or which teams, squads or verticals are working on different touchpoints. Only if your combined efforts are perceived as a single experience, will customers want to stay. Customers don’t think in channels or touchpoints, they approach your company touchpoints with needs and tasks they want to get done.
In this session, Eelko Lommers, Director Customer Experience Design at zooplus, will share how building experience maturity starts with reframing customer experience as multiple end-to-end journeys, not as a collection of individual touchpoints. The session will explore how zooplus invests in service design and journey architecture to create a shared “journey atlas” allowing teams to see the experience through the customer’s eyes. Paired with strong UX validation and experimentation, teams are enabled to test, measure, and evolve experiences based on real customer behavior.
We’ll also look at how this foundation enables the next wave of customer experiences: aiming for hyper-personalization at scale. By combining modular design systems, data signals, and generative AI, zooplus is experimenting with adaptive experiences that respond to customer context in real time, delivering relevance without sacrificing ethics, trust, or creativity.
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