Louis Vuitton

Engaging chatbot to bridge the gap between clients and luxury buyers

AI App

PROBLEM

The common problem is that the average waiting time to enter the Louis Vuitton store is 45 min up to 1 hour 30 min during the tourist season in June/July.

SOLUTION

Artificial Intelligence interaction between customers and the brand Louis Vuitton to reduce waiting time in a high-traffic luxury retail environment.

MY RESPONSIBILITIES

This project was a part of my research when I worked as a sales advisor at the Louis Vuitton store in De Bijenkorf, Amsterdam in 2018. I was able to collect lots of data and interview my clients. I discovered that I'm able to knowledge and experience and apply it to my UX portfolio. I used Sprint methodology to test this method and solve the problem.

TOOLS

Paper Prototypes, Photoshop, Figma

GOALS

The new chatbot Virtual Client Advisor can provide the following solutions such as:

Increase customer satisfaction by providing a more personalized experience.

Provide customers with extra information to find the right product.

Provide fast and easy solutions to make customers welcome at the entrance of the physical store.

Reduce pressure for LV employees as they often work without a break with an increased level of burnout.

Provide more personal storytelling for the customers while they are waiting in line.

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Posted Oct 25, 2023

Designed an AI interaction for Louis Vuitton to reduce wait times during peak seasons. Using Photoshop and Figma, I created a Virtual Client Advisor, enhancing

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