This project aims to improve the customer service of a call center by developing a chatbot that can handle frequently asked questions from clients. The Google dialogue flow technology and Python will be used to create the chatbot. The objective is to shorten the time clients spend talking to representatives and boost call centre productivity, which will improve customer happiness and boost the company’s profitability.
Business Challenge:
For a website of a call center due to huge number of client queries resulting in high engaging time which was a big problem where many clients had to wait for their turn. This resulted in poor customer support system.
Solution:
By developing a chatbot that would be capable of catering to frequently asked questions by the clients, the problem at hand could be resolved. Moreover, this would improve the efficiency of the call center.
AI Engine Results:
Chatbot engine will first try to capture the user’s intent from the query and respond accordingly.
Results:
By implementing this chatbot, the engaging time would decrease plus more clients would be dealt with in less time. Resulting in improved customer service.
Client Success:
The organization would become more profitable and this would result in an increase in their customer satisfaction.
Technology Stack:
Language: Python
Technologies: Google dialogue flow