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Building a powerful Client Retention Management (CRM) takes a lot of time and effort.
Chatbot helps you to scale up your business cycle and also manages the CRM routine like a professional.
Before jumping to the frameworks, lets check out some of thebenefits of having a chatbot for your business.
Also, your entire process is structured automatically.
This helps boost your CRM routine.
Having a support team enables recurring costs.
All of this also means better customer service.
It helps you stay on the top of the game with easy management and a happy user experience.
hey note the following are development framework and not the platform.
It comes with active learning.
you might use pre-existing, pre-built models to interact with your users on the following.
you’re free to integrate your bot with Microsoft Cognitive Services to solve a real business problem.
Microsoft Bot Framework let you turn your ideas into a reality.
Wit is free, and the following SDK is available.
you might also use the HTTP API.
It runs on the Google Cloud Platform and ready to scale to serve hundreds of million users.
Dialogflow is user-friendly, supports 20+ languages, and probably the best framework to develop NLP-based applications.
Watson Assistant helps you to build a chatbot for your business quickly.
you’re free to get it started for FREE with 10,000 API calls every month.
There are a few sample bot codes available for retail and banking.
It has recently added a new feature wherein you’ve got the option to visualize your AIML.
The integration of chatterbot is possible on websites, various applications and messaging platforms, Cortana, etc.
The following SDKs are available.
Botpress
Botpressis an open-source platform and based on a modular architecture.
It works on a natural language processing engine from LUIS.ai plus includes open source libraries.
you’re free to get it started Node.js.
There are more than 10,000 bots developed and in use with the help of Botkit.
It works and integrates with the following platform.
RASA Stack
Rasais an open-source framework and is based on machine learning.
It works on two main integrants Rasa NLU and Rasa Core.
This allows the bot to be trained in any desired language.
It is easy to adapt to the bot, and it thus keeps on learning continuously in the process.
Or, you could get it started with existing templates.
Conclusion
I hope the above-listed Chatbot frameworks help you to choose one for your business.
If you are a developer, you may be interested inlearning Chatbot development.