AWS provides Amazon Lex, a chatbot building technology.
$0
Per Speech Request
Google Cloud Dialogflow
Score 7.7 out of 10
N/A
Dialogflow (formerly Api.ai) is a chatbot building tool, designed to give users new ways to interact with digital products by building engaging voice and text-based conversational interfaces powered by AI.
Dialogflow was acquired by Google in 2019.
N/A
Landbot
Score 7.0 out of 10
N/A
Landbot.io is a no-code chatbot platform used by businesses to build frictionless conversational experiences from end-to-end. With the goal of turning conversations into profitable outcomes, Landbot helps Marketing, Operations, and Customer Service teams increase their efficiency and cut operating costs. Whether it's for WhatsApp, Web, or Messenger, the user can create automated chatbot flows to better engage customers and…
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.
Indicated for those who have good knowledge of programming and coding in HTML and JSON, that is, it is not suitable for beginners or users without much technical knowledge. It is suitable for those who want to integrate with various platforms, such as Telegram, Webhat, Facebook Messenger, among others. I also recommend it to anyone who needs to create a chatbot in several languages (it is not automatic translation). Recommended to create new projects in CX environment and not in ES.
Well Suited: If you are looking for a bot - - that is easy to build, that requires no IT person - that has competitive prices - that has a clean and easy reporting option, which can help the data analytics. Not Well Suited: Though it has Dialogflow integration, you cannot use it as a complete self-learning bot solution. If you are looking for a bot that is self-learning you have to go for IBM Watson Assistant/Dialogflow/SAP Conversational AI.
Keywords Jump Feature: As a feature, it is good. But there is a scope of improvement that I see. In our Business, there are a lot of words that are similar for example Bearing/Bear ring/Bearing. So, at times the bot takes some time to find the exact keyword what the user wants and then route it accordingly. Most of the time, it does right, but at times it doesn't.
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.
Users benefit from Dialogflow's best User Interface and seamless User Experience. It's very scalable, and there are a lot of customization options to make it even more so. Dialogflow makes it simple to deploy, manage, and maintain chatbots. Artificial Intelligence algorithms make chatbots interactive, making it easier for users and chatbots to communicate and understand each other. Overall, it's a good option for those with little programming experience who want to learn Natural Language Processing.
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.
Dialogflow is a wonderful tool that is helping to design customized chatbots. I personally recommend if you wanna know how it's works give it a try with a free APIs call, you'll love this tool
There is always use cases for both. We still use the other plattforms but each has its own strengths and weaknesses. We, as a contact center implementation partner always use multiple solutions both for ourselves but also for our customers to meet their needs. In the cases we choose Google Cloud Dialogflow is when we need to be able to handle specific follow-up questions from the customer. And for more complicated issues we also use a combination of this and other 3rd party plattforms. We always meet the need of our customers and as specialist and consultants we give expert advice on how to use all these different solutions in the best way possible.
Drift is quite pricey, on the cost part, Landbot was much better with almost similar features. Also, on the UI front, Landbot was a pretty decent tool compared with Drift or MobileMonkey. The usage was easy, the reporting was very easy to get. Considering all these parameters, we chose Landbot for our Organization.
As a partner to multiple contact center plattforms we have always been able to offer Google Cloud Dialogflow along with them because it integrates well with all.
Many businesses want to implement smart ways to have call deflection. Bots that can handle full dialogues with the customer is very intriguing to them because it can fulfill customers requests without using up as many resources
