Testing: Bots need to be tested extensively since natural language is complex and allows users an infinite combination of inputs.Chatbot platforms enable developers to use analytics tools to track KPIs and identify areas of improvement. Analytics tools: The data generated by chatbot usage needs to be analyzed to improve the bot's performance over time.NLP engines use natural language understanding and generation techniques in order to make the conversation effective and natural. Natural language processing (NLP) engines: A chatbot needs to understand the user and create an intelligent response.Graphical User Interface: A GUI makes it easier to develop a chatbot for both tech and non-tech users with a drag and drop based approach.We compared top chatbot platforms in detail, feel free to visit our research on top chatbot platforms.Ĭhatbot platforms provide the software and interfaces required to create a chatbot. Also there are completely free chatbot platforms like Wit.ai. There are chatbot platforms that offer free usage for some point. Pricing: There are different pricing plans for chatbot platforms like pay-per-request, pay-per-text, or paid plans for monthly use.Chatbot platforms should provide the necessary security measures such as the encryption of sensitive data. Security: As chatbots get information about the customer and as they get integrated to other platforms to provide data, security should be an important factor.While the availability of a drag&drop system is public data for chatbot platform, the ease of use of the chatbot system requires a personal evaluation of the platform. A drag and drop system is easier than coding. Especially for non-tech employees to develop a chatbot, ease of use is a critical factor for the process. Ease of use:The user interface of a chatbot platform should be easy-to-use.This information is publicly available and is part of our comparison of top chatbot platforms below. A wide range of integration support makes it easy to deploy. Some chatbot platforms support direct integration with other platforms. Integration capabilities: A chatbot can be integrated with messaging platforms like WhatsApp, Telegram, or the website of the enterprise.You would need to try out the performance of different platforms by building simple bots in them. Again, this is very hard to test in a quantitative, objective manner for all chatbot application areas. Chatbot platforms offer continuous improvement with machine learning engines. Machine Learning: Chatbots should not be built once, then left on their own.You can build a simple chatbot with the platforms in your shortlist to gain a better understanding of their advantages. However, this is also the most difficult one to test. Natural Language Understanding (NLU) capabilities of a chatbot is the most important factor in choosing a chatbot platform.Most important criteria for comparing different chatbot platforms include: Then, you can try them out for a simple application as a proof of concept (PoC) project to have a better understanding of their performance. Our suggestion would to create a shortlist of vendors based on reputation, pricing and other procurement best practices. Chatbot platform is an emerging technology and unfortunately there is limited public data on the performance of different chatbot platforms.
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