Interactive Displays

Elegant display of the physical product.

Positively surprising audio integrated into the "learn more" app experience, giving the context of use to the product and excitement to purchase.

Opportunity to select a model of interest & share it with friends on social media. 

Useful element about product sustainability. 

Practical chatbot, although not sure if the pop-up message is needed.

Currently, the QR code is present via a relatively small print on the shop window and a screen of a few seconds on the digital display. Access could be provided more visibly, e.g., a hand hologram with the QR code could be permanently shown next to the screens.

Once scanned, the first information was a button to learn about the price. To enhance the experience, users could be offered instead an AR tool to scan their hands/wrists and try different watch models before learning about transactional elements, such as product price.

The theme highlighted by the designers was "control". To make the experience appealing to various customer segments, users could be asked to select a topic that inspires them the most, e.g., elegance, wealth, avant-garde, etc., and customize the experiences accordingly.

Images/videos with the product in the context of use, e.g., at the opera, restaurant, exhibition, etc., could be included to encourage customers to relate to & gain interest in learning more about the watches.

Four buttons on a screen may confuse users and could create decision paralysis, see 2nd pic on the 2nd line. An alternative to the current screen design could be to merge price with learn more section. 

The "follow us" icons could be removed and a single button that expands on tap with the respective social media handles can help make the screen look more compact.

Premium/special experiences, e.g., viewing the latest watch designs, accessing a 3D display, or gamified experiences could be provided via a login wall, which users can access with any of their social accounts, e.g., Google/Facebook. The retrievable customers' data could be used to tailor offers based on their interests, location, and common purchases.