A chatbot is a computer program that automates voice and text conversations. Without realizing it, we use chatbots in our everyday lives. Guess what connects a banking site, a food delivery app, and an online retailer? Yes, a chatbot. We get in touch with the site through the bots present. The chatbot greets us on our entry to the site or the app and assists us in our endeavor.
Almost every industry uses chatbots these days. Businesses leverage chatbots to assist customers, engage with them, or do both. To name a few, the following are a few of the many applications of chatbots across industries.
- 24/7 support
- Training and onboarding
- Personalized product recommendations
- Lead prospecting
- Price notifications
- Purchase assistance
- Post-purchase customer service
- Reservations
- Food ordering and delivery
- Banking and finance services
- Billing and insurance processes
And the list is endless!
Machine learning is the heart and soul of chatbots. It allows the app to input new user information, learn, and use this knowledge to answer complex questions. The challenge is to build an advanced chatbot that it becomes difficult to tell if it is a real human or a computer.
An example worth mentioning is a well-constructed Shopify chatbot. When visiting a Shopify website, you might have noticed a bot on the bottom corner of the page. These sites deploy Shopify bots to answer complex customer questions and assist them.
If you’re new to coding, you’re lucky as there are low-code chatbot tools available. These can help you build an intelligent chatbot for your enterprise.
Why Does Your Business Need a Low-Code Chatbot?
Low-code and no-code chatbots are in demand in today’s business world. Low-code chatbots enable quick delivery of apps. They save costs by automating difficult and time-consuming tasks.
The no-code chatbots are used in gathering user information and human interaction applications. This in turn provides no flexibility to the developers in customizing the bot. But, the low-code ones allow the developers to add custom functionality and personalization.
5 Best Low Code Development Tools for Chatbots
There are various low-code development tools available to build text and voice chatbots. These five are the best among those tools. Check them out!
Azure Bot Service is a complete chatbot development tool for building AI bots. With Azure, you can use multilingual and multimodal bots for various scenarios including sales, customer support, and productivity. Here are the top features of the Azure Bot Service.
- Natural language, speech, and vision capabilities
- Connection to Telephony and Microsoft Teams
- Secure and responsible user experiences
- Extensible open-source toolset
You can try Azure for free with unlimited messages on Standard channels and 10,000 messages/month on Premium channels. But to use premium features, they offer the S1 plan with unlimited messages for Standard channels and $0.50 per 1000 messages.
IBM Watson offers an easy-to-use interface to design and build a low-code chatbot. It comes with video tutorials and built-in samples to build your first chatbot with ease. The tool offers the following solutions.
- Risk and compliance
- Financial operations
- Advertising
- Healthcare
- Customer service
- IT operations
- VIdeo streaming and hosting, and more
The tool integrates well with WordPress, Slack, Facebook Messenger, and custom APIs. The free plan supports 10,000 messages/month while the paid plan costs $0.0025 per message.
Lex by Amazon offers an easy-to-use web interface and runs on the same ML platform as Amazon Alexa. It enables you to build conversational voice and text interfaces into any app. It uses the deep learning functionalities of ASR and NLU to understand the text intent and engage users in lifelike interactions. Following are a few amazing features of Amazon Lex.
- Easy-to-use console to guide you in creating conversational interfaces or chatbots
- Build, test, and deploy your chatbot across Messenger, Slack, and Twilio SMS
- Built-in integration with AWS Lambda and Amazon CloudWatch
- Security, monitoring, user authentication with AWS
The pricing depends on the request and response interaction. The bot processes each user as a distinct API call. The voice or text requests are charged at $0.004 and $0.00075 per speech and text request respectively. This, in essence, means it would cost $4 per 1000 speech requests and $0.75 per 1000 text requests.
Wit.Ai’s interface lets you set up intents and try them out. This low-code chatbot development tool is a delight for developers. Wit.Ai’s community platform helps developers to share knowledge and create natural language interactions.
It has a huge library of HTTP APIs, Python, Ruby, Go, and Node.js and supports more than 132 languages. The open and extensible platform is the ideal solution to create, test, and deploy natural language experiences. As an added benefit, the tool offers free video tutorials to help you get started with building your first chatbot.
The tool is absolutely free of cost for both individuals and commercial use and the apps are governed by Wit’s teams.
Like Lex, Google’s Dialogflow comes with a web interface to help you create low-code bots. Dialogflow integrates well with Facebook Messenger, Twitter, Slack, and Google Assistant. Check out the key features of Dialog flow below.
- Interactive flow visualizations for quick and easy work
- Seamless integration across platforms like web, mobile, and messenger, and telephony
- BERT-based NLU models to improve call/chat containment rate
- State-based data models
- End-to-end management including analytics, experiments, and bot evaluation
Every new Dialogflow customer receives a $600 credit for Dialogflow CX free trial and expires after 12 months. The CX edition costs $0.007 per request.
Low-Code Chatbot is the Future
Low-code chatbots are the future of customer service and help for enterprises. The low-code applications use drag-and-drop tooling and built-in templates to develop advanced bots. The list of low-code chatbots development tools is endless. But the above-mentioned tools should help you get started with building a chatbot for your business.
