Artificial Intelligence is taking businesses to another level. And chatbots is one kind of Artificial Intelligence that increases productivity and reduces costs. It was Oracle which predicted that 80% of businesses plan will be using chatbots by 2020. And it also predicted that chatbots are expected to reduce business costs by $8 billion by 2022.

Avi Benezra, who is the CTO of SnatchBot, said that chatbots really helped them cut the costs and it bumped up the conversion rates. That is why others are now adopting chatbots more rapidly.

AI technology is indeed changing every aspect of our lives. Now chatbots aren’t just about gadgets but there are also Chatbot lawyers, Chatbot therapists and more. Chatbots are also changing the business-to-consumer (B2C),  business-to business (B2B) and business-to-employee (B2E). 

For a single task a single bot is enough. The task takes place through a fixed set of scenarios in the single use bot. But when there are multiple tasks then multi-tasking bots come to play.

The Chatbot platform must provide the ability to track and streamline multiple functions simultaneously within a single task Chatbot. And it is important to have the ability to create and deploy a multi-purpose chatbot for communication. 

For multiple tasks to be performed  the chosen platform must offer pre-built bots. And these bots must be ready to deploy in order to address specific tasks. These tasks could consist of customer support, lead generation, and many more. Also the bots must be customizable. This feature makes it easy to further interactions according to the type of business you are dealing with.

The platform for the Chatbot development program must have customized user interfaces.There is a preferred channel for every Chatbot. And it could be various channels like websites, mobile apps, social media, email and SMS. Bots can also interact with Skype, Slack and Telegram, but it’s mostly for corporate purposes.

 NLP and Speech Support are the  most used tools of best chatbots platform in field of language and speech. These tools help  them to train and to maintain the accurate interactions, and conversations through both text and speech. By the NLP and Speech Support chatbots understand the user and give relevant response.

Bots can perfect their natural language processing capabilities with the help of Machine learning. Therefore the chatbots must be smart and intelligent so that they will gauge and remember the data and learn from it. The interactions with customers will improve over time and they collect the information from the conversations. This way they can serve the customer’s request once they hone their machine learning and language. 

An internal bridging map is vital for the Chatbot platform. It helps with the sharing of messages between users. Moreover, chatbots and the cross-functional systems should also have the bridging. A bridge records the success and the failures. It categorizes messages, so that the bot manager can have a comprehensive understanding of the chatbots function. 

Chatbots are indeed the future of business, as they will help cut the costs. But proper research is necessary to build a right bot platform. The features must match the functionality of the chatbot used in a particular business.