how to develop a chatbot

How to Develop a Chatbot From Scratch

If you are an extensive tech product user, you are likely to have interacted with a wide range of advanced features. Usually, texting and messaging or using voice interfaces is one of the key features you will always encounter when interacting with various communication platforms. Texting or voice communication is among the most used communication modes. However, communication is basically for different purposes. The speed of texting and getting immediate feedback is of great essence.

The need for quick feedback could be the logic behind the development of chatbots. But do we mean by a chatbot? A chatbot is a system that applies AI techniques to enhance interaction with people through text or a voice interface. The interaction between chatbots and individuals is mostly straightforward, where a user can query about weather reports or any other simple queries. However, chatbots can support users with solutions to complex problems such as troubleshooting a failed internet service.

Development is a vast area in the tech field. Therefore, if you venture into the development of products and services, you will need to understand the need to be versatile. Furthermore, you have to understand the basics behind development to find it easier to maneuver through the developed products and features. Here comes the story of chatbots? How are they designed? Let’s get straight to it.

Like the development of any other products, chatbots require that the developer undergo various steps or stages. In developing a chatbot, the developers should focus on critical phases, such as establishing available opportunities for an artificial intelligence chatbot, developing the chatbot, designing, and building it using the most typical frameworks. Also, there are more straightforward options for creating a chatbot a success. These make it easier than starting from scratch. Many non-coding platforms are critical for building chatbots more easily. However, in this piece, we will focus on how to develop a chatbot and other factors surrounding its use. Let’s get straight to the steps.

Establishing the possible opportunities for an Artificial intelligence-based chatbot.

Building a chatbot requires that you first explore the possible opportunities for an artificial intelligence chatbot.  Chatbot technologies are advancing day in and day out, with developers advancing on different approaches and designs to build them. Therefore, companies focus on promoting their chatbot services. All these support the aim of improving service delivery to customers. While advancing technologies used in building chatbots, the respective companies and developers should often focus on the kind of work a chatbot can automate. There is a range of automation services that a chatbot can substantially help to advance. The logic behind the advancement of services through chatbots is automation and augmenting services and processes through artificially intelligent techniques.  The kind of work a chatbot performs through artificial intelligence solutions is bases on two distinct criteria;

  • Data complexity
  • Work complexity

An in-depth exploration of the two brings about four typical models: efficiency, innovation, effectiveness, and expert.

Data complexity touches on the aspect of the kind of data the chatbot is supposed to handle. Usually, data may be complicated or straightforward, and therefore, developers should consider the type of data a chatbot needs to run before developing it. When creating a chatbot, you should consider the amount of work the chatbot is supposed to handle.

Understanding customer goals

Usually, customers or end-users should be at the center of the development project. It is because users are the reason behind the development of these products and features. Just like any other feature under development, developers should consider the needs of customers when developing chatbots. If, for instance, a client hires you to build them a chatbot, it is essential that you first assess the exact needs for the chatbot. In such a case, you need to consider the needs of the client and those of customers.

A client will come with the requirement s for the chatbot, but you should also be flexible enough to share and adjust some of the features you feel essential for customer use in the chatbot. Putting the customer needs into consideration acts as a guide to designers in making a conversational platform that meets all end goals. Assessing the needs of the users helps you come up with a chatbot that most users will love.

Interactions about chatbots are either considered unstructured or structured. Right from the name, you can be sure that either of them has a defined structure while the other doesn’t have such a system. The structured one ensures a proper flow of information right from the start to the end. The logical flow of data ranges from the available menus, forms, and other features. Consider a family-based conversation or conversation with friends. Usually, conversations based on the stated kinds of personnel have a common characteristic that enables creating a chatbot that serves a similar role. The relationship between them sets in because the information flow among them is identical.

After identifying the kind of conversation, you must move straight away to developing scripts that follow the structure of conversational messages you need. Creating the script messages demands that you have a proper command of various languages. Also, you have to put into consideration various factors that will ensure good usability. For instance, you need to maintain a close interval between topics that the Chabot addresses. It is essential to set extra focus on how the user interprets the chatbot’s answers at the design stage. If a user misinterprets a chatbot’s functionality, it means failure in its original role.

For a structured type of conversation, you will need to ensure that the conversational tone and structure are a bit fleshy. The reason is that there are many addressable factors, and structured conversation is more straightforward.

Read: Chatbot advantages and disadvantages

Using frameworks to develop chatbots

Many platforms and technologies are available for creating powerful chatbots. Also, frameworks are available and purposely there to ensure that chatbots’ creation is more comfortable than before. There is no form of coding incorporated here. However, there are cases where you will need to adjust some codes to suit your destined chatbot’s needs. The platforms are there to fasten the development process while ensuring consideration of all requirements.

Well, there are many platforms you can use to build chatbots with little or no coding. The platforms fasten the process of building a powerful chatbot that can capture the attention of many users. Mostly, the essential frameworks you can rely on include API.ai and Chatfuel. Also, other necessary platforms have Bostsify, Chattypeople, and Motion.ai.  There are also other critical platforms you can rely on in developing chatbots. Let us explore the above ones in greater detail.

Chatbot

Chatbot Platforms

Flow XO

With Flow XO, you will enjoy 100+ integrations with the support of the creation of powerful bots. The platform also supports an easily usable editor. It has many more prebuilt templates that you can adjust to suit your requirements.

Chatfuel

It is a critical platform that provides the chatbot developer with more advanced features. The platform supports the addition of content cards and sharing automatic updates to followers. Chatfuel also supports the collection of information from Messenger chats and many other features.

Motion AI

Motion AI supports various services such as building and deploying chatbots of renowned platforms like Slack or FB Messenger.  With Motion AI, you can diagram your conversation to understand a bot query’s final visual outcomes.

Botsify

The creation of bots using Botsify is as simple as using a drag and drop template. The platform makes it easier to develop bots with Smart Ai, machine learning techniques, and integration through plugins.

Bottr

One distinctive feature on Bottr is the ability to enable the embedment of a bot into the website. You will get the chance to develop a chatbot and embed it on a website of your choice. Also, it supports data coverage through various platforms like Wikipedia and Medium.

Chattypeople

It would be easier if you landed a platform reloaded with chatbots readily developed for use. However, you can adjust them to suit your needs and those of users. Furthermore, Chattypeople considers templates in fields such as food, business, commerce, and much more. You have several options to choose the kinds of bots you need.

Beep Boop

Beep Boop is a common bot development platform that supports the development of robust and reliable bots. It provides an easier way of developing slack bots.

QnA Maker

It is another excellent product from Microsoft. Creating a chatbot through QnA Maker is as easy as sharing the URL of your frequently asked questions page. After sharing the link, there is the creation of the bot basing on the available queries.

Conclusion

Other platforms and frameworks will demand that you write some code to get your chatbot working. For such cases, you will need to have extensive knowledge of programming languages. Using such means provides data flexibility through storage. However, you will need more excellent experience to incorporate AI as well as producing data analytics. Some of the code-based platforms include Wit.ai and Aspect CXP-NLU.

Chatbots are slowly integrating the communication means to more robust and reliable options. The future of messaging will advance more and hence understand the logic behind developing the bots.

Hope you understood how to develop a chatbot from scratch, for more information contact Aalpha

Also read: Mobile app development cost in India | Web application development cost in India

About The Author

My name is Muzammil K & I'm a passionate Blogger, SEO, and SMM. I share ideas and thoughts on Digital Marketing, Websites, Branding & Social Media.