Low Code Chat bots – The Fastest Way to Implement Chat bots

A bot is a PC program that computerizes an errand. Chatbots are, consequently, programs that robotize discussion, both voice and text. Basically, a chatbot can reenact a wise discussion with a human. They by and large utilize AI to assemble conversational cadence, beat and stream, and in this way impersonate human discussion.

Chatbots are basically utilized in client assistance to abbreviate the reaction time when a client contacts an association. In any case, the potential outcomes are inestimable. Chatbots can be utilized in numerous hierarchical exercises and assignments including the accompanying:

Accounting and financial applications
Assessing business needs
Automating the employee life-cycle
Configuring prices
Distribution process management
Facilitating better project planning
Improving the accuracy of financial data
Lowering purchasing costs
Managing human resources and payroll
Reducing redundant tasks
Services knowledge base
Standardizing critical business procedures
Supply chain management

Innovative work in chatbots became after Facebook opened up their Messenger stage to make it simple for anybody to manufacture a chatbot on head of their Wit.ai Bot Engine. This successfully made it simple to rapidly and effectively send a chatbot that associates with clients.

Types of Chatbots

The most ideal approach to comprehend the sorts of bots accessible is to analyze them on a direct range. Toward one side, you have chatbots intended to encourage human discussion and on the other you have automatic chatbots intended to totally supplant human discussion. In the center, you have different cross breeds of both of the boundaries. Most chatbots that lie in the range have some sort of data gathering highlight. Basically, they will gather data from the client and give helpful reactions where conceivable. Where they can’t do as such, they divert the client to an individual.

The latest generation of chatbots rely on artificial intelligence (AI). This allows them to learn and improve over time. Machine learning (ML) is at the heart of chatbot research and development. ML allows an application to input new information obtained from the user or even other sources, learn, and ultimately use that new knowledge to improve its future interactions. In essence, chatbots are now able to answer fairly complicated questions and not simply structured or scripted questions as was the case in the early days of development. The holy grail is to build chatbots so advanced that users aren’t sure if they are communicating with a computer or a human being.

What are Low Code Chatbots?

The design and development of chatbots has so far been code-heavy. Chatbots can be created using any programming language with a web API. The most common deployments use Node.js and PHP in addition to several other libraries that support Python or Java.

The trend now is to move to chatbots that can be deployed with little or no coding involved. This enables faster delivery of applications and leads to cost savings. Applications are assembled and configured in a graphical interface. Think about the way assembly lines automate processes in auto factories. In the same manner, low code chatbot development automates difficult and time-consuming tasks.

However, no code deployments generally don’t offer much flexibility to developers. Thus, no code deployments are ideal for information gathering chatbots and those that facilitate human interaction, whereas low code chatbots are great where developers need to add custom functionality. The need for custom functionality should never be underestimated.

Tools Available to Build Low Code Chatbots

There are numerous tools available to build low code voice and text chatbots. Below are some of the tools which I consider worth exploring further.

Dialogflow

Dialogflow comes with a web interface to create bots. This makes it a fairly easy low code solution for anyone to create basic chatbots. It integrates well with several common applications such as Google Assistant, Slack, Facebook Messenger, and Twitter and comes with basic in-built web integration. Dialogflow supports over 20 major languages and is free for basic use which is ideal for small businesses. The enterprise version costs $0.002 per request.

Lex

Amazon Lex comes with an easy-to-use web interface and runs on the same machine learning platform as Amazon’s Alexa. It integrates beautifully with SMS, Facebook Messenger, Slack, Twilio, Kik, and several other applications. Lex also has a basic chat user interface for testing on a website. At 10,000 free text requests and 5000 free voice requests per month in the first year, the service is worth a try for anyone looking to implement chatbots. The only drawback is that it is currently only provided in US English.

Azure Bot Service

Azure offers a service that’s great for creating and publishing intelligent bots via a web interface. It integrates with Facebook Messenger, Slack, Skype, Kik, Telegram, Twilio, and many others. Azure Bot Service also comes with an Open Source web chat widget that’s available on Github for web and mobile integrations. The service supports multiple languages including English, Spanish, German, French, and many more. It is free for up to 10,000 messages per month, while paid plans start from $0.5 for 1,000 messages.

Wit.Ai

Wit.Ai has a user interface to set up intents and try it out. However, despite being a trailblazer in this field, the platform remains a bit too developer-centric. Non-techies may have a difficult time figuring it out. It has no direct integrations but comes with HTTP APIs and libraries available for Node.js, Python, Ruby, and Go. It also does not come with any web or mobile integrations. On the upside, being a Facebook service, it supports over 50 languages and is free for both personal and commercial use.

IBM Watson

In addition to an easy-to-use interface to create a bot, IBM Watson comes with video tutorials and ready samples to help get your first chatbot up and running in no time. It integrates well with Facebook Messenger, Slack, WordPress, and Custom APIs. IBM Watson also offers a basic chat user interface for websites. It supports ten major languages and the free plan comes with 10,000 messages per month. Paid plans start from $0.0025 per message.

Botpress

Botpress is an open-source platform hosted on Github that offers a graphical user interface where everything is clickable. You can create text- or pattern-based (e.g. keywords) bots. It integrates with Facebook Messenger, WordPress, Slack, Telegram, and many other applications and supports over 20 languages. While it is free, there is a paid version with premium support. For non-techies, this is probably one of the best low code chatbot solutions out there.

Conclusion

This list of low code chatbot solutions is by no means exhaustive. There are numerous other solutions I haven’t specifically included. However, if you are looking to implement a chatbot solution for your business, this is a good place to start.