Azure AI Bot Service vs. Google Cloud Customer Experience Agent Studio (CX Agent Studio) vs. MobileMonkey

From personal experience, I can recommend the Azure AI service to reduce the burden on your customer service team, as we did. We created a customer service bot and automated our Frequently Asked Questions section, as well as an interactive platform for registering other complaints that the bot cannot handle, which are later addressed by our customer service team.

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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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MobileMonkey would be great if you have a really strong social media presence and want to capitalize on people visiting your pages. It's great if you have a tech friendly audience who is not afraid to talk to a chatbot. If you have an audience where they might be uncomfortable or more of an "uptight" audience then it might not be fore you. It's also not great for heavy B2B if your focus is on high level targets as they're likely not logged in to Facebook at work. B2C is probably the best function for MobileMonkey, although it could be used to help field support messages.

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• Assembles conversational AI encounters for our clients
• Adds regular language, discourse, and vision
• Sends to well known channels with insignificant code changes

• 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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• For small businesses on zero budget - provides a free.
• A Facebook group community with peers and experts helping each other.

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• Limited Natural Language Understanding, especially in entertainment contexts where slang, humor
• Works only with Azure platform only not compatible with other platforms
• Complex customization as per organization need

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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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• Terrible marketing ethics!
• 6am phone calls to my cell trying to up-sell me
• Spam galore! I have replied more than 5 times to be unsubscribed, yet they still spam me

Azure AI Bot Service comes with an Integrated Development Environment and Bot Framework SDK that simplifies development. Having a single codebase for multiple channels, such as MS Teams, Facebook, and Slack, makes it easier to target multiple platforms without requiring redevelopment. LUIS and OpenAI can be easily integrated with your Chatbot to provide a seammless chat bot expereince to customers.

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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.

Microsoft's customer service staff is friendly and extremely knowledgeable. They are always available to assist you with bot framework-related issues that you may be experiencing. They provide training sessions, manuals, and support personnel, among other things. Bugs were easily spotted and patched, which was one of my pet peeves about patching.

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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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MobileMonkey support is second to none when you have a paid plan. Always willing to help and make your life a lot easier when you're facing any technical difficulties or frustrations. When I was on the free plan, I found plenty of useful resources that helped me solve my problems, and I could still contact support for help.

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Microsoft Bot Framework is much better and well more established without a lot of proprietary software/coding language. Lex is very limited with integration with standard hardware and network configurations. Lex has performance issues and was too slow to meet near real-time collaboration requirements. Bot Framework complements many other Microsoft communication products and this was key to implementing without a lot of new training required.

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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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MobileMonkey is a lot less expensive than both Olark and Drift. We chose MobileMonkey because we were hoping the familiar interface and integration between social and the website would drive more interest which would lead to conversion and revenue. It's more of a chatbot than Intercom in that Intercom is really good for customer support, but MM is a nice way to get people interested by sharing high level data through a conversation that doesn't require a real person. However, Olark, Drift, and Intercom all integrate with the major CRMs and marketing automation platforms which gives them a real edge over MobileMonkey at this time.

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• Azure Bot will only deliver according to the granularity of the FAQ it is feed. Otherwise, it has been a cost optimization tool 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

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• It has become a quick sunk-cost due to the amount of time I had to spend ignoring/blocking their unsolicited marketing/communication attempts.