Reflections Inspired by a Zappar Talk
The YouTube video about “How to leverage AR in the new retail revolution” is zoom call based presentation about how augmented reality (AR) can be used in modern retail environments — how it can be applied in stores and customer experiences to influence shopping behavior and engagement.
applications of AR in retail and how companies can use AR as a tool in the retail revolution.
One example discussed was a retail AR experience developed for Motorola. In this case, AR was used to explain product features and functionality through animated visual content. By scanning the product or its packaging with a smartphone, users could access AR explanations that went beyond static text or printed manuals.
What made this example particularly interesting to me is that the AR experience was not limited to the store. Customers could take the product home and still access the AR content later. This shifts AR from a one-time in-store interaction to a take-home support tool, allowing users to explore information at their own pace, without pressure.
Another point emphasized in the talk was the use of animation as a way to explain information. Instead of relying on long descriptions, AR animations visually demonstrate how a product works. In some cases, these animations are inspired by the brand’s logo or visual identity, which makes the experience feel familiar and playful rather than technical or overwhelming.
This combination of animation, branding, and explanation shows that AR can be both informative and enjoyable, helping users understand products while keeping the experience light.
Smartphone-first AR and everyday usability
All examples presented in the talk were based on smartphone AR, not headsets. This choice felt intentional and realistic. Smartphones are already part of everyday shopping behavior, and using them for AR does not require special preparation, waiting time, or staff assistance.
This reinforced my growing understanding that AR in retail does not need to be deeply immersive to be effective. Instead, it needs to be easy to access, easy to stop, and socially acceptable. In this sense, AR works best when it blends into the shopping process rather than standing out as a spectacle.
Why this talk motivated further research
What motivated me most about this talk is how rare this perspective still is. Despite the growing interest in AR, there are surprisingly few talks and examples that focus on practical AR in retail, explained through real use cases rather than marketing promises.
Seeing examples like the Motorola case made me realize how much potential AR still has as a quiet design intervention—one that reduces uncertainty, supports understanding, and lowers cognitive and emotional load during shopping.
This talk gave me a strong impulse to continue researching AR in retail from a user experience and emotional comfort perspective, especially because there is still limited accessible material that critically reflects on AR as a supportive, human-centered tool rather than a novelty.
Hands-on exploration: testing Zappar’s tools myself
After watching the talk, I decided to explore Zappar’s platform myself to better understand how their approach translates into practice. I visited their website and explored the examples and tools they provide, which led me to an actual working AR build environment. I tested several of their live AR experiences directly on my phone, and the overall performance was noticeably smooth and stable in use.
To gain deeper insight, I also tested the platform more extensively through a paid plan. The professional membership is relatively affordable (around 11 EUR per month), which made it accessible for experimentation and research purposes. I deliberately focused on some of the more challenging AR interactions for this type of tool, particularly face recognition–based try-on experiences and text-based AR interactions.
I tested several variations of these features, and the results were surprisingly reliable. Face tracking worked accurately, the try-on interaction felt responsive, and the text interactions were clear and easy to control. What impressed me most was not only the technical performance, but also the quality of the interface. The design felt intuitive, well-structured, and approachable, even when testing more complex AR actions.
This hands-on testing strengthened my impression that Zappar’s tools are not only conceptually interesting, but also practically usable for rapid prototyping and user experience research. Experiencing the platform directly helped me better understand how AR can be implemented in a way that feels smooth, accessible, and user-friendly—qualities that are essential for meaningful AR use in retail contexts.
It instantly generates a QR code, and you can test it on your phone quickly and easily. It works perfectly.
Reflection for my thesis
The Zappar examples strengthened my conviction that meaningful AR in retail does not require complex hardware or fully immersive environments. Instead, it requires thoughtful design, clear purpose, and respect for the user’s time, attention, and emotional state.
This impulse directly feeds into my Master’s thesis, where I explore how AR can support more comfortable and inclusive retail experiences—particularly for users who experience shopping as stressful or overwhelming. The talk confirmed that AR’s real value in retail lies not in replacing reality, but in quietly supporting it.
Leveraging Augmented Reality in Retail – Zappar Talk
https://www.youtube.com/watch?v=grnDgOHY9Tc
In the development of this blogpost, AI (ChatGPT) was used as a supportive writing and structuring tool. I provided the conceptual content, research direction, theoretical preferences, and methodological decisions, while the AI assisted in translating it to English, refining the wording, organising the material and generating coherent academic formulations based on my input. The AI did not produce research or arguments but helped transform my ideas into a clear and well-structured text draft.
