Fashioning a new shopping experience
This project was completed as a sales pitch to win over GUESS's heart as our client. For this pitch, I was prompted to see how we might improve the shopping experience in a way that utilizes gestures into the GUESS mobile app and can lead into a brick-and-mortar experience.
Jane was invited to an important work event. Before she knows it, the event is tomorrow! How will she find an outfit in that time?
Don't fret, Jane. GUESS has an improved visual shopping experience that will get you styled with minimal stress involved. This shopping experience conveniently starts on your smartphone and ends in the fitting room.
ane opens the GUESS app and starts to explore her shop feed. The minimalistic interface allows Jane to take in the characteristics of the clothing without visual distraction. She chooses the 'Night Out' shopping list and begins to browse. She finds a dress she likes so she taps on the grey circles to quickly filter for similar. This feature automatically applies filters based on the characteristics of the dress to show her more she might like. Now Jane can see that two filters have been applied and she’s viewing all the black dresses between $40 to $80.
She’s willing to spend a little more for the right dress, so she quickly deletes the price filter and continues to browse. Jane sees a couple dresses that might work. She taps and holds each item which allows her three options to choose from: add to my bag; in-store pick up; and in-store try on.
In Jane's bag she can now see that two dresses are on 24-hour hold for her at the closest GUESS store. As she nears the store she receives a notification that her items are ready and waiting in a fitting room.
Once Jane arrives, the store associate shows her to her reserved fitting room and gives her a quick tour of the room updates: a spacious room with a stage for virtual in-room styling, lighting control, and a touch screen to call for assistance and checkout. The in-room styling booth activates special sensors behind the mirror that will detect characteristics of the outfit and use data from past purchases to recommend other suggested items and accessories. Jane chooses her dress and accessories, finishes checking out in-room, and leaves the store.
This was so fun to work on. I am passionate about bridging the gap between mobile and brick-and-mortar experiences, so I had a lot of ideas on how we might do that for GUESS. Also, we won the client. 👍