Launched in 2017 and available on AWS, Amazon Connect is a cloud-based omnichannel contact center designed to provide a seamless experience across voice and website live chat, featuring skills-based routing, task tracking, and analytic tools to track customer interactions, or evaluate agent activity. It can support office-based or virtual contact centers. The service is pay-per-usage, per feature.
$0
per profile/per month
Google Cloud Contact Center AI
Score 7.0 out of 10
N/A
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…
We worked through a Request For Proposal to check different Contact Center platforms, we evaluated Talkdesk, Amazon Connect and Genesys PureConnect, all of them as a SaaS platforms, and trying to go to a pay per use model. The best option for us was Amazon Connect, with a pure …
Amazon Connect has lots of free training available for partners and in general. So many demos are available to practice. It's free to test and gain more confidence before deploying in real world scenarios. You can use other AWS features to be integrated with Amazon cloud. …
Amazon Connect introduced an analytical and reporting feature, which evaluates the details and the concerns of clients. Besides, Amazon Connect clearly records all the calls, which captures the exact information which we use it in the future. The product is also as important in …
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.
Our company is a startup that is just starting to get wholesale customers. When we realized our customers needed support using our products, we set up a Contact Center via Amazon Connect. It has been very useful in allowing us to scale up very quickly, and provide services to our company as if we were a large corporation.
In a specific scenario in which I would not recommend it, it would be in a hospital, since the level of margin of error must be minimal, human lives are at risk and can cost dearly if Google cloud contact center AI fails, in the scenario in which I would recommend it, it would be in that of a legal 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.
It is very easy to use for any access level and has greatly facilitated users' ability to properly document tickets without getting lost in short or vague comments. Each case is fully tracked through this transcription of information. This made it easier for us to decide whether to implement, use, and maintain it as our contact tool in our customer service center.
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.
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.