Brief
Following the launch of ZEOS One, Zalando’s flagship multi-channel B2B fulfillment portal, I spearheaded the overarching UX design strategy for its brand new support ecosystem.
Partnering directly with product leadership, I established a 2-year service vision aimed at reducing operational friction, protecting merchant revenue, and automating scaling inefficiencies.
As the end-to-end design lead, I owned the problem framing, cross-functional alignment, and component architecture for the foundational ZEOS Help Center –
a systemic infrastructure that now fuels all subsequent support layers, including ticketing, our developer portal and soon automated AI assistance.
Team
Design & User research: Ingrid Ho, Claudine Dizon Liljedahl, Oscar Fredriksson.
Product & Engineering: Sharareh Shrabi, Alex Satour, Nikhil Prabhakar, Daniel Sharkov, Tatsiana Dziarhai, Md Tonoy Akanda, Nikola Kalinov Mihaylov.
Background
ZEOS, Zalando's Ecommerce Operating System, represents a massive operational shift from wholesale and consumer fashion to enterprise B2B multi-channel logistics. For these new multi-channel merchants, minor platform friction drops fulfillment pipelines and instantly stalls revenue. As portal usage increases and onboarding of new merchants accelerates, manual support will not be able to scale proportionally and risks becoming a costly bottleneck. To ground our support strategy, I audited industry leaders to evaluate how our competitors bridge merchant enablement with automated troubleshooting.
The analysis revealed a consistent pattern: leading fulfillment platforms invest heavily in both merchant education and rapid issue resolution. ZEOS lacked a structured investment in either dimension. This clarified the opportunity for us: support needed to become a strategic, pro-active capability, not only a reactive function.
Establishing the Foundation
With the roadmap defined, the immediate next step became crystal clear: a centralised Help Center. Not a static content repository — but a structured, modular knowledge system designed to:
- Be the single source of truth for all things ZEOS.
- Reduce support tickets for common queries.
- Standardize highl-level documentation quality.
- Improve onboarding clarity.
- Serve as the base layer for AI-driven and contextual support.
The ZEOS Help Center would lay the foundation and essentially enable all future support capabilities.
Data-Informed Decisions
Insights from the recent redesign of the Zalando Partner University (the help center for single-channel, partner program merchants of Zalando) shaped my approach and design decisions. More specifically, two particular findings piqued my interest. First, the fact that close to a quarter of the visits happen from handheld devices. Secondly, finding out roughly 60% of users initiate their support journey via search.
Implications:
- Fully responsive experience considered from the get-go.
- The inclusion of a table of contents inside articles, enabling quick navigation between sections.
- Search elevated to hero prominence.
¹ Percentage of total amount of visitors who accessed the Zalando Partner website from a mobile phone in June, 2025.
² Percentage of total amount of visitors who start off by searching when they land on the Zalando Partner University page.
TL;DR
In close partnership with product, I defined the long-term vision and three-horizon roadmap for the ZEOS Support Ecosystem, transitioning the platform from high-touch manual support to a scalable self-service model.
- Strategic Roadmap: Co-authored the vision for support capabilities, aligning technical feasibility with a long-term merchant-first user experience and gap analysis of the market.
- Foundational Architecture: Led the end-to-end design of the ZEOS Help Center, covering everything from user journeys and information architecture to usability testing and engineering handover.
- Systemic Thinking: Architected new support components, as an extension to our design system, now leveraged by the EOS Developer Portal, driving cross-user interface and experience consistency.
- Future-Proofing: Established the foundation for upcoming AI-driven support and contextual in-portal help capabilities, directly reducing dependency on manual partner care agents which not only saves the merchant time but also reduces costs for Zalando.