How to Build Intelligent Chatbots?

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How to Build Intelligent Chatbots?

A devout Fashionista is likely to be smitten by the charm of TMY.GRL, and that’s because this chatbot on the Tommy Hilfiger website enters into friendly conversations with fashion enthusiasts with an objective to transform their looks based on the occasion and taste. Chatbots are spreading their wings, finding a place in every business area – from customer and sales support to other business functions.

With customers wanting quick information, chatbots have filled the void to serve the purpose.  As the customer comes up with more and more queries, the chatbot must fire away with proper responses. Stuttering or out-of-context responses are not going to sync well with the customer.

What’s the need of the hour is the intelligent chatbot guiding customers to meet specific needs. Powered by natural language processing and machine learning, intelligent chatbots not only give the human touch to customer conversations but also engage users and allow brands to improve their performance and image. What are the salient features that make up for an intelligent chatbot?

Read the Need:

A chatbot becomes smart when it reads the needs of users. An intelligent chatbot goes beyond the ordinary by mastering nuances in language and understanding whatever queries user throws at it. Beyond the ordinarily wired responses into it, smart chatbots are capable of supporting fluid human conversations. Say for instance, when a user queries a chatbot about the availability of a film ticket on a particular day, it responds with a yes or no. When the user wants to know if tickets for the specific film is available on all the coming Sundays in the next three weeks, it is only an intelligent chatbot that rises to the occasion to offer a favorable response.

Be a Champion learner:

Intelligent chatbots driven by AI are champion learners. Promoting conversations with a human touch also means that chatbots must learn from the conversations continuously, to respond to user queries in the most favorable way. By infusing natural language processing and embedding user modelling modules, learning becomes a significant chore of chatbots. Leveraging machine learning techniques, chatbots get transformed into good learners.

Perform the Smart act:

For chatbots, understanding user intention is one side of the coin. The other side is about acquiring the ability to perform the smart action to fulfil user needs. For this, intelligent chatbots find their way to plan and execute tasks for meeting user requests. As the tasks get more complex, intelligent chatbots ascertain the sequence of actions to move from start to finish in executing a specific task for a user.

Reveal smart traits:

What’s more significant to recognize intelligent chatbots are the smart traits that they possess. The AI-driven intelligent chatbots know the goal that needs to be accomplished as they work independently to accomplish the goal.  This is made possible by their ability to sense the environment where chatbots live, make sense of the user need, think what needs to be performed to meet user requests and be quick to act and fulfil user requests.

Where brands are exploring every avenue to personalize customer experience, promote customer-focused marketing and speedy customer response, intelligent chatbots fuelled by machine learning, artificial intelligence and natural language processing have proved to be a perfect fit to create conversational interfaces aimed at personalizing customer interactions.

By |2018-05-21T14:45:42+00:00May 18th, 2018|Tags: , |