Live Chatbot

Our Chat

Inspiration

Following the prompt, we wanted to imitate a quality support live chat similar to that of Apple. As of right now, we understand that the most interaction IHS Markit has with their end users are routine (offline) calls from Account Managers. Recognizing that IHS Markit is looking to develop deeper and longer term relationships with their consumers, we felt that a personalized, on-demand, and real-time channel through which customers can communicate with IHS Markit (or at least think they are), would enable end users to feel both heard and known by the company.

What it does

Our semi-autonomous chat bot pinpoints the customer's concerns before connecting them to the appropriate support specialist. It also stores customer information in a database and utilizes past chat history to create more personalized offerings/recommendations (ex: "You last spoke to ___").

How I built it

We used JavaScript and Node.js/Express as the center piece of our web application logic and back end. We used EJS, HTML/CSS to implement the dynamic front-end display.

Challenges I ran into

Connecting the back end to the front end.

Accomplishments that I'm proud of

Having the chat bot working as intended!

What I learned

Time constraints are challenging to work with.

What's next for Live Chatbot

Storing the data in the back end database (DynamoDB or Mongo), implementing a customer feedback function, and using connecting to a live support specialist.