Chatbot (bot) service powered by IBM's Watson artificial intelligence technology


JACQBOTS builds chatbots (also known as intelligent agents) that rely on Natural Language Processing for small and large businesses everywhere.

Businesses are becoming more enthralled by the possibility of saving costs and providing a true 24/7 customer service experience. To do so, it is has become important to build engaging interactions that deliver value to customers. Indeed, Gartner (the leading research and advisory company) predicts that by 2020, customers will manage 85% of their relationship with the enterprise without interacting with a human agent.´╗┐

Enter Natural Language Processing. It enables customers to connect with your organization in a more human way than navigating through Boolean search terms, drop-down menus, radio buttons and forms.

Chatbots (or intelligent agents) are ones of the most exciting and in-demand topics in tech. They offer a great opportunity to apply cutting-edge artificial intelligence technology to your customers' needs and increase your profits in the process.

Chatbots (or intelligent agents) are not meant to replace human support or sales teams entirely. Instead the goal is to augment the availability of resources.

Who are Chatbots for?

Chatbots are for companies big or small. From the small flower shop to the Fortune 500 firm, chatbots provide incredible value. Chatbots make customer service easy, because losing customers is expensive. Imagine having a 24/7 availability and the fact that chatbots can free customer service agents for more challenging work by speeding up response times, and answering up to 80% of routine inquiries. Customers, especially millennials, are increasingly turning away from calling for support and opting for messaging and other self-service channels. 

Moreover, despite being around since the late sixties, chatbots are suddenly in demand due to two key developments:

* The emergence of  popular messenger applications such as WhatsApp, WeChat, Facebook Messenger, and Slack which are used by billions of people worldwide.

* The emergence and rapid expansion of cognitive computing such as machine learning, deep learning, natural language processing, and artificial intelligence.

´╗┐With billions of people communicating through messenger's apps, hiring employees to chat with or reach customers on such platforms is impractical. Hence, chatbots provide an affordable and scalable solution!

What are Chatbots?

Chatbots (or "bot") are software programs that converse through a chat interface. Typically, the chatbot would greet the user and then invite him/her to ask some form of question. When the user replies, the chatbot would parse the input and figures out what's the intention of the user's question. Finally, the chatbot would respond in some form of logical or consequential manner, either providing information or asking for further details before ultimately answering the question. Chatbots make the user feels understood and helped. They create a certain rapport with the user, without pretending to be human. 

Very often chatbots offer some form of virtual assistance to the user. They could provide customer or sales support, often collecting information from the user to provide some form of service.

Virtual assistants like Apple Siri or Amazon Alexa are some examples of popular chatbots interacting via voice rather than text.

JACQBOTS only builds text, rather than audio chatbots. It is worth noting that English is not the only language Watson can understand. As of today, Watson supports Arabic, German, Spanish, French, Italian, Japanese, Korean, Portuguese, Dutch, and Chinese. 


JACQBOTS  is an IBM partner ( ID # 9qdrn) founded in 2018 in South Florida by Jacques Bikoundou.

Jacques graduated with a Bachelor's

Degree in Operations Management and

a Masters of Science Degree in

Management from Thomas Edison State

University in Trenton, New Jersey. After

a 28-year career at United Parcel

Service, he retired in 2017  to pursue

other educational opportunities in data

analytics and artificial intelligence. He  enrolled in the Microsoft Data Science Professional Program, and graduated as certified Data Scientist in May 2018.  He later continued with cognitive courses through Microsoft and IBM  and became IBM-certified chatbot and blockchain developer in September 2018 -certificate ID # c151134b8ffa4d8b853bbcdddf703.