Chatbot applications have transformed the way companies in various industries interact with their customers.
Many companies have found chatbots as an effective solution
And cheap to improve most of the services they provide and among them the customer service that was
It is characterized by weakness and delay in sending responses, which used to anger the customers, but the chatbot has become a special assistant for each customer, and it is ready to respond to it 24 hours, with
Lower cost to businesses than hiring a large customer service unit.
According to estimates, 68% of large organizations around the world will make chatbots a part of their customer service sector with solutions.
End of 2020. This statistic indicates a great deal of competition between companies to benefit from
The solutions provided by the technology in satisfying their customers and gaining a greater market share, as immediate and interactive customer service providers of great quality.
Interactive chatbots, despite what they offer, are in a constant state of evolution in particular
In recent years, what lies ahead in 2020?
1- Video Bot
Since 2015, we have already seen the emergence of voice-controlled robots
Like Alexa and Google Home. However, this technology has not yet been integrated into the chatbot.
But in 2020 we will likely see a chat window powered by a bot that understands what
We say without having to write the transcript of the conversation.
Indian telecom giant Reliance Jio has already taken a big step in this aspect.
The company recently launched a video robot that uses natural language comprehension technology for intelligence
Artificial AI, where it can interpret what we say.
Corporate investment in chatbots that can understand normal human speech aims to provide
Greater interactive and realistic service while humans talk to the robot and gain their trust.
2- Self-learning chatbots
When it comes to solving a query, chatbots offer database-based or
Texts ready to respond.
The main disadvantage of this type of chat software is the fact that it requires data entry
New to respond to questions that arise on the chatbot and cannot reply
Them, which is usually a long time.
But in the case of machine self-learning, these robots learn by themselves and constantly train themselves with each interaction.
One of the best examples of this type of interactive chatbot is the one he designed
Facebook AI Research Group and Stanford University. The robot is designed
In a way that she constantly learns and improves her speech based on the comments of other users
3- Incorporate payment methods into the interactive chatbots window
Once the payment process is integrated from within the chat window, it will be easier for consumers to do their shopping online.
This will also eliminate the need to visit a website to complete the process.
Companies are working on various ways to achieve this.
One of the popular methods is to provide your chatbot window with a payment app interface, and by doing so, whenever
A push has occurred, the bot sends a request to the API and comes back again with a link to continue.
However, there are many banks and companies that have considered this idea but have not implemented it
Yet due to privacy concerns, but in 2020 things and this concept may change
It will become mainstream, as it is expected to generate a lot of revenue by making the process easier and fewer steps.
4- Chatbot for institutions
Organizations have a great need for chatbots. For example, a chatbot can no longer
Respond to basic inquiries related to human resources and services instead of wasting staff time on it.
It can also be used in the initial hiring process and screening of candidates based on their answers to some of the questions asked by the bot.
Among those models are Engazify, Amber, and other interactive chatbots
(Chatbots) that are already used by some famous names such as Visa, IBM and ITC to automate hiring processes.
5- Emotionally intelligent interactive chatbots
The most likely developing developments are robots. One of the reasons
The main pursuit of making chatting more humane is the fact that there are reports indicating that
Clients don’t use chatting because conversations have become robotic. although
Companies are already starting to come up with robots that can provide personalized answers, but the robotic core is still there.
And in 2020, with AI as the main catalyst for innovations
New, the possibility of getting more robots that can show an emotional interaction with the user is not far off.