Tech Buzz
How to Make an Intelligent Chatbot for Your Business?
Do you remember the last time when you had a conversation
online with any customer service agent? Perhaps you were asking for details
about the services or need any help. There is a higher probability that the
person who was trying to resolve your queries was not a person but a Bot or a
talking robot.
Today, Chatbots have become the hottest eCommerce trend in retail & ecommerce segment. Every business is trying to build its own Chatbot. If you’re struggling too and
want to figure out the key points required for making an intelligent chatbot,
then this blog can help!
So, what are the chatbots?
Chatbots are all the rage these days! But what are these
actually? And, why does everyone want it for their business?
Chatbots are artificial intelligence systems; these are
software programs that allow you to interact via text. These interactions can
solve a myriad of issues from simple to complex. Be it asking for a simple
weather report or facing a problem with internet service, chatbots can answer
your queries right away.
According to Gartner,
“By 2020, 85% of our engagement with businesses will be done
without interacting with another human. Instead, we’ll be using self-service
options and chatbots.
Artificial
Intelligence Chatbots are completely transforming the lead generation
process and the way you do business. It is creating a more personalized
experience for visitors. Getting immediate response and instant solutions keep
users engaged on your website and improves brand image. AI has given a human
touch to the bots making them more lifelike and pervasive than ever before.
The AI chatbots are also popular with other names: bot, talkbot, intelligent chatbot, IM bot, conversation bot, talking bot, interactive agent, AI conversation bot, virtual talk chatbot or artificial conversation entity.
Often companies get conused between chatbot developmnt company vs DIY platform when they plan to build a AI bot for their business. Consider aspects like bot complexity, features, budget, etc. before choosing between these two popular options for chatbot development.
How do Chatbots work and understand the customer’s intent?
Before you proceed further towards learning the functioning
and hidden potentials of chatbots, you must have an idea about the variants of
chatbots. Chatbots are categorized into two variants as per the programming
approach and methodology: one based on fixed rules while the second one is
based on machine learning.
- Rules-based Chatbots:
These are the simplest type of chatbots available in the market. They are
encoded with rules that enable these bots to answer only those queries and
tasks for which these are programmed. Hence, they only respond to the specified
tasks and display a fixed level of smartness and cannot respond to complex
queries. Also, it doesn’t get smarter with more conversations.
- Self-learning
Chatbots: From handling your business affairs to managing the everyday
tasks, self-learning chatbots can serve a variety of purposes. These chatbots
are based on machine learning and improve themselves gradually over time. They
are mostly used for the science and entertainment industry.
- AI-powered chatbots:
These chatbots are rules-based chatbots mixed with Artificial intelligence
technology. Intelligent chatbots are powered with natural language processing
and machine learning that enables these bots to identify user intent and the
variations of the same request. Whether it is making reservations or answering
questions, chatbots extract the key pieces of information either from text or
voice conversations.
Also Read: How
to choose the right E-commerce Solution Provider Company
Technologies used for building Artificial Intelligence Chatbots
Chatbots are not intelligent from the very beginning of their
deployment. But they are made intelligent with the use of technologies like
natural language processing (NLP), big data, machine learning and many more.
These technologies enable chatbots to understand the context in order to
interpret it correctly.
Four Essentials Features that Can Make a Chatbot Intelligent
- Contextual Understanding: Having chatbots with conversational smartness and contextual understanding is the need of the hour. Also, this is the most challenging aspect of automating human conversation. Hence, a chatbot must be able to analyze a number of inputs like the context of the statement, day, date, time, tone, conversation history, sentence structure, and many other factors. You can avail chatbot development services to build such an smart bot solution.
- Voice Technology: Voice bots provide convenience and error-free interactions that reduce the chances of failure. Also, friction-free conversations and quick responses create a positive customer experience. The advancement in the field of machine learning and natural language processing make these voice assistants more intelligent and enable these chatbots to solve customers' needs.
- Perpetual Learning:
Building a chatbot with self-learning abilities enhances the performance
metrics of these bots and helps achieve better conversations. Natural language
processing, machine learning, and content-oriented user modeling give a
personalized response to user queries.
- Seamless Agent
Handover: Humans will always remain an essential part of contact centers
and no Chabot can replace the human touch. And, training these bots on
when to handover the conversation to the human agent is the toughest job.
Integration of artificial intelligence and sentiment analysis enables chatbots
to deliver the right response during the conversation and develop understanding
when to transfer the conversation to the human agent.
Things to Keep in Mind while Developing an AI Chatbot?
Slack, Facebook Messenger, Telegram, Discord, Kik,
etc., are some of the popular
chatbot platforms used for hosting AI chatbots that support a number of
languages, such as PH, Python, and Java.
The commonly used frameworks for developing a web-based
chatbot are Wit.ai, Api.ai, IBM’s Watson, Aspect CXP-NLU, and Microsoft Bot
Frameworks.
Those who lack excellent programming and coding skills can
use frameworks like Texit.in, Chatfuel, Octane AI and Motion.ai.
Summing Up!
Now you’re well aware of the key elements that can make any
chatbot intelligent. Right? If yes, the next step is to analyze your goals,
estimate your requirements and evaluate them to get a clear idea of what you
expect from a chatbot and what purpose this technology can solve for your
business.
If you’re looking for chatbot development services to build
AI-powered chatbots and want to know more about chatbots then A3logics is the
one-stop solution.
We are the leading chatbot
development company that offers customized solutions to large
organizations, brands, and SMEs for every industry be it retail, insurance,
healthcare or other. Talk to our expert and get a range of options to build an
AI chatbot. If you need guidance on building and incorporating intelligent
chatbots for your business, feel free to contact us.