Chatbots have gained increasing popularity in the market, especially to transform the marketing strategies of businesses. They enhance customer experience, and most businesses prefer a chatbot to magnify customer satisfaction and increase their benefits.
Chatbots are influencing and redesigning how businesses function. Most business owners, especially big organizations are investing in chatbots considerably to improve their customer interactions and quality of services and redesigning the overall structure of the operation.
What are chatbots and what do they do?
Chatbots are artificial intelligence systems or interfaces that we interact over chats through our mobiles and computers. It is an AI-enabled system that interacts with the user to understand their needs and answer their queries or perform specific tasks like transactions, playing a song, booking an appointment, etc.
Does your business need a custom-based interactive interface that not only reduces service costs but provides 24X7 assistance to various stakeholders?
What are the chatbots used for?
Chatbots are used for performing various tasks ranging from basic and simple ones to more complicated ones. While you can ask about the weather to a chatbot, you can also use some of the chatbots to perform complex tasks like troubleshooting for certain issues, etc. Many companies are using chatbots for customer care services and also for other services like collection of information, or providing information and promotional purposes.
If you’re looking for the steps and ways to develop a chatbot, below is a list of basic steps and requirements that you need to develop a chatbot from scratch. This list is convenient for you even if you’re an amateur and doing this for the first time.
1. Basic knowledge of how chatbots work
There are two types of chatbots: Rule-based and self-learning bots.
a. Rule-based bots: These follow a specific algorithm and a defined set of answers and keys to respond to the users.
b. Self-learning bots: These bots are designed to use machine learning approaches and are more useful and efficient. There are retrieval-based models and generative models as two distinct types in this category.
Basic knowledge and understanding of the scikit library and NLTK are assumed. If you’re new to NLP, read the steps below and then look for other references for better understanding.
3. Identifying the purposes and opportunities of an AI-based chatbot
The primary purpose of a chatbot is to automate specific processes for increased accuracy and efficiency and promptness. The most common and important use of chatbots is resolving operational challenges from a collection of vast data sources. Solving such operational complexities improves the efficiency, preciseness, effectiveness, and expertise of any business or platform and enhances innovation and improvisation. What kind of work can be automated, and the data and work complexities need to be clearly understood to make sure we make the chatbot for its most suitable applications.
4. Comprehensive understanding of the goal of the users and chatbot
The purpose of you are using the chatbot needs to be precise. For that clarity, you need to list down the requirements of the users or customers and the basic queries they have, and what they want from your business. The kind of interactions they make with your customer service department, the expectations of a customer from your company or platform, and the type of services they are looking for, which can be provided by the chatbot. This will make you design the AI platform in an optimized way to take the best care of the queries and requirements of the customers and keep track of the necessary dates if required.
5. Development and designing a chatbot
When the developer or designer is aware of the purposes of the chatbot, they can do a better task at the development of the bot. The design is of utmost importance as it is the deciding factor of the quality and quantity of customer interactions on your platform or website. Customer engagement is prime to your business, and a well-designed bot can lay a positive influence on that.
Chatbot interactions can be categorized into structured and unstructured interactions.
a. Structured interactions: This is the type of interaction design that includes a logical flow of information, including choices, data, forms, and menus. These include a set of specified and designed algorithms and responses to the known FAQs or common/frequent queries.
b. Unstructured interactions: These are a freestyle flow of the plain text. Personal conversations fall into this category. The chatbot analyses communication based on NLP.
6. Using non-coding frameworks
There are many builder platforms like Chatfuel and Botsify, that enable you to design and create simple chatbot conversations to serve basic purposes. They have pre-designed templates and facilities for a cloud platform uploading. But you cannot create an NLP-enabled chatbot to deal with unstructured data.
7. Using coding frameworks
Having an understanding of programming and machine learning is essential to using coding platforms to develop chatbots that can decode unstructured conversations. It has a database and has analytics and incorporated AI.
A chatbot has multiple uses. It can be a fundamental one for general purposes or an advanced one that is all-inclusive and provide various services. Having an understanding of the work complexities and data complexities of the chatbot you’re developing is the essential key to the development of the bot in the correct way and for its perfect utilization. Experience and expertise are also required. Still, novices and amateurs should start with the basic ones to improve and gain a better knowledge and understanding of the development process.
NTLK platform working is a complicated task. Text pre-processing, the various kind of approaches like the TF-IDF approach, are subjects of vast and essential learning to improve the development of chatbots. Starting with this list, you can develop a chatbot from scratch to serve your business purposes or to offer it to your clients for their usage.
How much time does it take to develop a Chatbot?
A very crucial part of the whole chatbot app development process for organizations is knowing how much time and cost is involved in chatbot development. How much time chatbot app development companies take to develop a chatbot them so that they get a rough idea of when to start witnessing unprecedented customer satisfaction graphs.
Well, here’s an answer to the hours it would take to develop a bot, something that will have a direct impact on your chatbot cost –
Integration with an app – the duration of it depends on the chatbot complexity, but usually it takes up 40-56 hours. Development of communication interface
- Command language user interpreter takes up somewhere around 40-56 hours.
- The natural language user interface takes somewhere around 120-160 hours.
- Adaptation of existing business logic, takes up 120-160 hours, depending on the amount of logic.
- The development of business logic from scratch takes around 160-192 hours.
Since you now know the approximate hours it would take to attend to different parts of chatbot development, it is time to translate those hours into the cost of chatbot development.
How much does it cost to develop a Chatbot?
Now that we have seen all – the market of chatbots, benefits that they have to offer, types of chatbots that are presently ruling the world, and the components that come together to develop them along with the time it takes to develop chatbots, it is now time to look at how much it is going to cost you.
Seeing the work that goes into developing a chatbot, the approximate chatbot cost that comes for the development of your bot is in the range of $20,000 to $25,000. The cost range includes the design, development, and integral part of the whole chatbot app development process.
With this, we have now seen all – the benefits of chatbots, components that help devise a well-structured chatbot, the market size, the type and the cost you will have to pay to get your chatbot developed, the only thing left for you to do here is to get in touch with our chatbot builders and get your Chatbot developed.