Louis Vuitton
Engaging chatbot to bridge the gap between clients and luxury buyers
PROBLEM
The common problem is that an 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.
DURATION
June 2019
TOOLS
Paper Prototypes, Photoshop, Figma
GOALS
The new chatbot Virtual Client Advisor can provide the following solutions such as:
Increase customer's satisfaction providing a more personalised experience.
Provide customers with extra information to find the right product.
Provide fast and easy solutions to make customers welcomed at the entrance of the physical store.
Reduce pressure for LV employees as they often work without a break with an increased level of burnouts.
Provide more personal storytelling for the customers while they are waiting in line.
FEATURES
Welcoming
Search for products
Filling in the client’s database
Ordering drinks
Personalized storytelling
Language support in Mandarin
Provide information when is their turn
Average waiting time
Entertainment (news from the shows, videos of new collections)
HARD SKILLS
Adobe XD, Photoshop, Botsociety, Research, Interviews, Persona, Content Map, User Flowchart, Site Map, Prototypes
SOFT SKILLS
Presentation, Communication, Teamwork, Empathy
User Flowchart (Chatbot Conversation Flow)
When creating a visual diagram like this, it is helpful to indicate the different milestones in the conversation flow. For example, using different shapes or colors to show that the user has reached the end of a chatbot flow path.
