Google has launched a cloud based contact center software which uses artificial intelligence (AI) to improve the customer experience and provide real-time insights for agents. Announced in July 2018, this product adds three core AI functionalities to the contact center software tool belt with its Dialogflow feature: virtual agents, AI assistance for human agents, and contact center analytics. Google’s product streamlines inbound and outbound communications by…
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Google is a known product that many have used and we didn't see any other competitors having the edge that they do in their products. This is seen in their customer service when it comes to learning how to use the product and they have the resources to self-learn it.
Only IBM Watson Assistant has been the one we have used in the company, in fact, it was the first to use it because currently in the market there are not many options to use, and if there are they are not receiving enough publicity, so we have limited ourselves to google cloud …
Google Cloud Contact Center AI allows more versatility than NICE CXone. CXone also does not offer virtual agents. CXone is a little more robust in terms of handling large call volumes without a hiccup, but since Google is better able to route calls, volume increases are easily …
Google cloud is the obvious choice over others because it is handier, has more features, more powerful tool to use in daily life. You can always take advantage of Google over others. Google Cloud can be synced with numerous other platforms and can be worked out easily without a …
Earlier to this, we never had an AI solution in place for the contact center jobs, therefore, I do not have any software/platform to compare Contact Center AI.
Both are excellent but I like the integration and analytics with Google Cloud better. The reason the analytics are more intuitive and easier to manage and maintain. I like the integrated dashboards and I have to do less spreadsheet work it seems at times. But both platforms …
Google Cloud Contact Center AI was way better than the competitors we analyzed, especially the Dialogflow usage made our decision of going with Google Cloud Contact Center AI very easy.
Well suited for sites where the product is hardware because with those if there are any questions then the site could help eliminate having to contact the company directly and waiting for answers days later. This would be suited for products as the answer could be given and the more complex questions would be directed to the company.
Google Cloud Contact Center AI is based on the same foundation infrastructure and services as Google Assistant, therefore, it is robust and flexible. The APIs are very well built and documented as well. Any newbie can start using the service with a very little learning curve.
Seamless integrations are also a great add-on. Google makes sure that Contact Center AI service integrates well with leading customer service platforms which helps any user to use only the required functionalities from Contact Center AI and meanwhile use any other primary platform.
Robust documentation which is always alive and is updated within no time is of great help! Google makes sure its end customers know what to do where and when in clear plain text and any issues/ bugs are also documented.
We are happy with the implementation and functionality of the software and associated systems. In general, unless something better can replace this system we intend on continuing. We think the ease of systems implementation and integration adds value and substantiates the use and excellent functionality of the product and associated services.
Generally intuitive and easy to learn. I would like more guides but the learning curve is rather quick and makes the software rather an easy study for the average user. Generally, the support and functionality of the software make for a generally good outcome and easy implementation of the software and user experience.
Only IBM Watson Assistant has been the one we have used in the company, in fact, it was the first to use it because currently in the market there are not many options to use, and if there are they are not receiving enough publicity, so we have limited ourselves to google cloud contact center AI.