AshesiBot: An automated chatbot for handling Ashesi Facebook Messenger platform
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Abstract
As each day passes, new ways of improving our lives through technology emerge. Companies
keep on exploring ways of reaching out to their customers and other stakeholders in a way that
is more comfortable and efficient. Regardless of their exploration, the problem of presenting
information in a way that allows quick retrieval of information by users remains a challenge.
To solve the problem of information retrieval, companies have implemented search bars on
their website and other functionalities. Unfortunately, search bars have proven to be inefficient
because they bring everything that matches with the input of the user. Additionally, others
have implemented live chat systems to help mitigate the problem of information retrieval.
However, live chats are time-consuming especially when there are few workers behind the
live chats systems providing services to numerous customers who demand immediate
attention. These problems necessitate a novel approach for retrieving information that meets
the needs of businesses and individuals; using chatbots.
The idea of chatbots is not new, but it is becoming more refined and useful with the application
of machine learning to solve the problem of information retrieval. The advent of chatbots on
websites and social media platforms is fast spreading, helping with a 24/7 retrieval of
information. The use of automated chatbots to handle a conversation with a business’s
customers is now a trend because it allows for quick retrieval of information with little or no
support from the staff members. Use of chatbots gives room for staff members of an
organization to focus on more significant issues. Customers equally benefit from using
automated chatbot system as they no longer need to be in a queue. To sum up, this paper seeks
to solve the problem of information retrieval for Ashesi Facebook messenger subscribers using
an automated chatbot.