For most companies, live agents remained the one-stop point of contact in the past and the present. However, IVRS systems are increasingly used as a means of diverting calls to an agent team. Artificial intelligence-enabled chatbots are being integrated into websites and apps to reduce costs, increase responsiveness, and provide round-the-clock support in multiple languages.
Using chatbots, you can:
- Low overhead costs and 24/7 operation.
- Provide users with the information they need right away
- Manage customer queries, take payments, schedule appointments, and track queries
- Survey customers
- Provide them with answers
- Backend systems like CRM can automate a user’s request.
Chatbot design
Many programmable languages and tools exist that make it easier to create AI-enabled chatbots. There are many choices when it comes to chatbot development languages. You need to know your target audience and formulate appropriate responses when designing a chatbot.
For developing chatbots, here are the top five programming languages:
- Clojure
General-purpose programming is done with Clojure, a modern dialect of Lisp. A robust macro system, as well as a code-as-data viewpoint, enable you to create code in multiple forms. Chatbots are error-free, clean, and multi-threaded, allowing them to handle a large number of queries simultaneously. The Clojure language has both a transactional memory system and a reactive agent system. A higher-order recursive function makes it easy to use.
- Python
A minimalistic framework, simple syntax, and innovative AI libraries make Python one of the most powerful programming languages out there. Python’s capability to code throwaway prototypes allows us to decide on the final specifications early and refine the prototype with each iteration. Many features are included, including short development time, modular and dynamic code, and support for all major platforms.
- Ruby
Ruby is another powerful open-source language that can be used to build an efficient Chatbot system with ease. An automatic memory mechanism and dynamic programming support enable the software to adapt at run-time to the changing needs of the system. In addition to a sophisticated chatbot library, the framework includes many tools.
- Java
Due to its clean syntax, strongly typed type system, high performance, functional support, rich library, and ease of integration with existing systems, Java has become the programming language of choice for many programmers. The language supports Object-Oriented Programming (OOP) and is platform-independent. The JVM’s memory footprint is so small that even a mobile SIM card can easily fit inside it. Additionally, it supports multi-threading and garbage collection automatically. Algorithms with advanced features can be easily coded in Java.
- Lisp
Developed in 1958, Lisp is the second-oldest high-level programming language. Chatbot training, design, and multilingual development use throwaway modeling and prototyping extensively. Programs written in Lisp can process symbolic information relatively quickly with the help of its rich library.
Making the right choice
Several of the programming languages described above have a proven track record of allowing people to build intelligent systems, such as sophisticated and powerful AI chatbots. It may not be possible to find a language or tool that matches your vision or fits your specific needs. Are you looking for a chatbot that can handle multiple scenarios? Would you like it to support a variety of natural languages? For chatbot development, you will need to choose a programming language based on this.
