Customer Engagement has been the pivot of any business. It is the customer satisfaction that is the topmost priority for any business which includes serving all the queries of prospective customers, converting leads into business opportunities. Chatbots with AI have made customer engagement easier for your business by answering their queries with 24*7 availability, making the whole process streamlined. AI powered Chatbots make sure the customers get an enhanced experience by applying Machine Learning principles.
Chatbot, which is an AI powered software offers human-like responses to customer queries. While a lot many of them are keyword-driven or menu-based, it is the contextual chatbots that are leading the league with their smart responses that give a personalized feel to the customers chatting with them.
These chatbots use a combination of Natural Language Processing, Reinforcement Learning Techniques, and Machine Learning using heuristics and neural networks that are customized in nature. With these powerful AI techniques that combine together, chatbots have successfully managed to pull out interactions up to the near-human levels.
If you are looking forward to having these smart chatbots for your business, then here’s how you can build the Chatbots using AI.
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Take a note of the user requirements
Since the chatbots are made to serve the end users, it is very essential to note down their requirements. Depending upon the response mechanism and conversation capability, you can build your chatbot either based on the rules or an Intelligent one, which generates real-time responses based on the learning.
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Optimization of Chatbot for better user requests resolution
Once you have come up with how to fetch the user queries, it is essential to resolve them successfully for customer satisfaction. To decide upon the most suitable way of solving the query, customized heuristics for decision-making can be combined with strong neural networks to come up with the best possible way of responding to the query.
By putting Reinforcement Learning in place, the chatbot can recognize patterns of queries that are similar in nature and solve them more skillfully with optimization.
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Check out the Intelligence of your Chatbot
Upon fixing up the query fetching and resolution part, it is important that you understand whether the Chatbot that you are building is actually intelligent enough or not. You can do this by rigorously testing the functionality, domain coverage, learning capabilities, understanding, and defining of the end-goals out of the conversation.
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Align the flow of potential conversations
It is important that your chatbot is able to hold good conversations that have a streamlined flow which is directed to make the interaction in accordance with the user journey making it optimum beneficial in minimum stipulated time.
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Plan ahead keeping future challenges in mind
As the technology is leaping ahead with time, it is important to make the chatbots futuristic, considering the possible challenges that might appear in the future. These include diversification of the chatbot functions as the context elaborates with time.
With all these steps put in place and the right technical guidance, you can build a smart Chatbot with AI for your business to enhance the customer engagements.
An Introduction to Chatbot: With Chatbots being everywhere, the challenge is to develop a well functioning one.
Here is the chatbot tutorial with the basics of creating an AI chatbot.
As per a survey by Oracle in 2017, 80% of business respondents were already using or planned to use AI chatbot by 2020.
These interactive platforms that communicate in a human-like manner offer several benefits — the biggest being round-the-clock availability on email, SMS, live chat, and apps.
With the increased popularity of chatbots, the technologies powering them – namely NLP, AI, and machine learning- are being refined.As a result, chatbots will increasingly be able to hold conversations like humans instead of providing bland cardboard responses because they are designed to understand the nuances of human languages.2.
Data-driven customer insightsThe great thing about AI chatbots is that they can make notes, a.k.a, collect data while they are holding conversations or immediately after it.
Automated supportThis trend will be most apparent in call centers where the employees’ main job is to provide customer support and address customer requests 24*7.
Messenger botsCalls aren’t conducive at all times, and email conversations can stretch out over days, which is why 68% of consumers prefer messaging as the go-to way for staying in touch with a business.
