Madison Reed Creates An SMS Chatbot That Gives Hair-Coloring Advice

Apr 26, 2017 | 2223 Views

What Happened

Hair-coloring brand Madison Reed has created a chatbot named Madi that will use AI smarts to give out hair-coloring suggestions via text. Interested customers seeking consultations can text the Madi bot at 34757, send a close-up of their hair from roots to ends in natural lighting, and answer a few hair-care questions. The bot will then recommend which color they may consider dyeing their hair by analyzing the photo with color-recognition technology and taking all their answers and preferences into account.

When users click on one of the hair color suggested, they will be redirected to the brand's website, where they can see more information and make purchases. In order to train the A.I. engine powering the bot, the team at Madison Reed leveraged social media content and images from product testing and model programs to provide enough imagery data for the bot.

What Brands Need To Do

With the incorporation of color-recognition technology, this chatbot is a noteworthy addition to the fast-growing list of branded chatbots offering automated customer services and support. Facebook Messenger alone now has over 100,000 chatbots on its platform. As more and more brands start to utilize chatbots to reach consumers on various popular messaging and social apps, it is paramount that brands need to devise a conversational experience that can provide value to customers. In order to do so, brands should start with developing a mobile messaging strategy and identifying the customer data it can use to train the chatbots with.

How We Can Help

The Lab has extensive experience in building chatbots to reach consumers on messaging interfaces. So much so that we've built a dedicated conversational practice called Dialogue. The NiroBot we built in collaboration with Ansible for Kia is a good example of how Dialogue can help brands build a conversational customer experience, supercharged by our stack of technology partners with best-in-class solutions and an insights engine that extracts business intelligence from conversational data.


Source: Digiday