Google Cloud Customer Experience Agent Studio (CX Agent Studio) vs. Landbot

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.

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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.

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• Great at back-and-forth dialogue with the caller
• Integration with existing contact center plattforms
• Using the same flow for voice and chat seamlessly
• Very customizable

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• Simple visual constructor for your bots
• Many bot patterns
• Zapier and Webhooks
• Full customization CSS for your bots

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• Some of the features are still in beta phase.
• The languages available are still limited.
• The advanced features may not be accessible to new users.

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• 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.

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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.

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

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Everything is simple. Very helpful support team. Always answer your question and help solve the problem.

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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.

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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.

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• 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

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• Fast payback on advertising budget due to high conversion.
• Need a mobile application for chat operators, if the leads want to chat with a living person.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info