Amazon Lex is a fully managed AI chatbot builder designed to build conversational interfaces into applications using voice and text. The platform provides the advanced deep learning functionalities of Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU) to enable the development of interactive chatbots and virtual assistants.
$0
Per Speech Request
BotStar
Score 8.3 out of 10
N/A
BotStar is a messaging solution from the company of the same name in Da Nang, designed to make it easy for businesses to streamline all customer conversations. With Live Chat, Chatbot Engine, Multi-platform Integrations, BotStar aims to drive business communications, from Sale & Marketing to Customer Service.
Easy to use interface and price are the two factors that made me decide to use BotStar. Compared to other chatbot platform, there are a few features that are not available or as diverse, but seeing the platform is updated monthly makes me confident that I have made a wise choice.
If you wish to quickly deploy multilingual chatbots without having to worry about infrastructure and model training, go for Amazon Lex. It is one of the best general-purpose conversational AI solutions in the market. The cherry on the cake is that it also seamlessly integrates with other AWS services, so you would be good there. Performance monitoring is very easy with AWS. It has support for both text and integration. If you are not a pro-NLP expert, Amazon Lex will make your job really easy.
This is a perfect tool to help you save time with repetitive tasks, enhance customer experience. As long as you use Facebook Page or Website, BotStar is suitable for developing your business or project. While it is possible to create chatbots that can speak more naturally, it will require some programming knowledge as well as time to develop.
First of all, the design, as well as the ease of use, are definitely the biggest strengths of this platform. The drag and drop feature allows me to design the flow quite conveniently.
Second, the step-by-step video, documented tutorials are simple and only took about 5-10 minutes.
Third, BotStar created the feature which allows me to update CMS data automatically with CSV files.
Easy to deploy and very easy to integrate with other AWS services. Automating simple tasks is also very easy with Amazon Lex. We never had NLP experts in our team, but we were still able to deploy chatbots for our support functions with minimal issues. Native integration with other AWS services like S3 and Lambda has been of paramount importance.
Community support for Amazon Lex is good. Also, since it is an AWS service, the support has a similar standard as other AWS services. We have had a couple of instances of our bots weren't able to interact with our web apps. We reached out to the support team, and they were able to resolve our issue in no time. The documentation from the Amazon Lex team also makes creating chatbots a breeze.
Easy to use interface and price are the two factors that made me decide to use BotStar. Compared to other chatbot platform, there are a few features that are not available or as diverse, but seeing the platform is updated monthly makes me confident that I have made a wise choice.