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Google Cloud Dialogflow

Score7.5 out of 10

27 Reviews and Ratings

What is Google Cloud Dialogflow?

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.

Categories & Use Cases

Best dialogue-based option standalone or in combination with everything

Use Cases and Deployment Scope

We set up Google Cloud Dialogflow CX bots for voice bots and chatbots for different contact centers. We have built this with either existing plattforms or together with implementation of new contact center solutions. Specific scenarios is to gather information from the caller or customer before they reach an agent so the agent can handle the customer much more efficiently. The amount of questions varies, it could be simple questions that Google Cloud Dialogflow might even know the answer to or be able to provide information from a data bank to provide to the caller. This way we get call deflection while helping the caller getting the information they need.

Pros

  • 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

Cons

  • Ease of use
  • Admin-friendly UI
  • Training phrases already feel outdated compared to other AI options that are better at identifying intent

Return on Investment

  • 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

Usability

Alternatives Considered

IntellyDoc, Vertex AI and Genesys Cloud CX

Other Software Used

Genesys Cloud CX, Textlocal, now part of Cisco Webex, Vertex AI, IntellyDoc

Make your communication with customers flow automatically and across multiple channels

Use Cases and Deployment Scope

From my experience, customer service, information about merchandise withdrawal, purchases, order status, among many other requests were a problem, as customers called incorrect times, demanded time from people to identify the customer's need and then direct them to the department. correct, were the daily problems in our company. With the implementation of the chatbot on our website, and later its integration with Facebook messenger and Telegram, we were able to reduce by more than 80% the redirection of calls to the correct area, as well as a 40% reduction in calls that required basic information such as product pick-up address, company opening hours and customer service department extensions. Between the conception of this project until its release to final users, it took just over 03 months of project.

Pros

  • allows different answers for each platform, so a list menu is displayed correctly in both Facebook Messenger and Telegram
  • TTS (Text to Speech) service included in the tool
  • Automatic training after entity or Intent change is fast

Cons

  • Conversation flow has no deviations or regressions
  • Possibility to create logical test on screen and not by custom script
  • Conversation analysis report is very simple
  • Text formatting and inclusion of components with list and buttons only by custom code

Return on Investment

  • Easy integration with communication tools like Telegram, Skype, etc.
  • Has option to create dialog by flow
  • It has a native option for audio interaction

Usability

Perfect Tool to develope chatbots

Use Cases and Deployment Scope

Google Dialogflow is amazing technology that helps me to design and build chat bots and voice bots. Best part of dialogflow is that it is very easy to learn and have multiple options of integration with other tools that fasten the work process. Moreover you don't need to be an expert to use dialogflow, it has no coding platform.

Pros

  • Develope chat bots
  • Seamless integration
  • Intuitive workflow

Cons

  • Learning curve is complex
  • Somehow APIs is costly

Return on Investment

  • It provide best NLP technology that indirectly increase our customer base.

Usability

Chatbots are simple to create and deploy

Use Cases and Deployment Scope

First of all, I've been using Dialogflow for the past two years. Using Dialogflow, I've created over ten chatbots and voice assistants. It is the best way to build chatbots and is ideal for beginners. I have never felt it hard to understand. Its functions do not require any advanced coding concepts to be fully understood. It has a fantastic team in place of its front-end, so you don't have to worry about the back-end integration with various APIs as a user. Overall, it's fantastic!

Pros

  • Best user interface
  • Advanced training modules
  • Best NLP and NLU engine

Cons

  • Software integration
  • Expensive
  • Natural conversation

Return on Investment

  • Robust platform
  • Reliability and security
  • Highly scalable for professional usage

Usability

Good and stable, users love it

Use Cases and Deployment Scope

Safe, easy to use, easy to configure - great handy tool to get our chat bots to serve customers in a timely and safe fashion. It is a very good software, easy to use, tasks are easy to get granular - it's number one choice at the present moment for our company.

Pros

  • Good bots
  • Easy to configure
  • Good pricing

Cons

  • Documentation
  • Forums
  • Userbase

Return on Investment

  • Ease of use
  • Cheap
  • Good UX

Usability