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 AI
Score 8.2 out of 10
N/A
Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.
N/A
Pricing
Amazon Connect
Google Cloud AI
Editions & Modules
Customer Profiles
$0.0025
per profile/per month
Chat
$0
per message
Contact Lens (5 million+ monthly minutes)
$0.0125
per minute
Contact Lens (first 5 million monthly minutes)
$0.015
per minute
Voice
$0.02
per minute
Voice ID
$0.025
per transaction
Tasks
$0.04
per task
No answers on this topic
Offerings
Pricing Offerings
Amazon Connect
Google Cloud AI
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon Connect
Google Cloud AI
Features
Amazon Connect
Google Cloud AI
Contact Center Software
Comparison of Contact Center Software features of Product A and Product B
Amazon Connect
7.8
6 Ratings
7% below category average
Google Cloud AI
-
Ratings
Agent dashboard
8.96 Ratings
00 Ratings
Validate callers
8.56 Ratings
00 Ratings
Outbound response
7.56 Ratings
00 Ratings
Call forwarding
7.05 Ratings
00 Ratings
Click-to-call (CTC)
7.56 Ratings
00 Ratings
Warm transfer
8.05 Ratings
00 Ratings
Predictive dialing
5.04 Ratings
00 Ratings
Interactive voice response
7.06 Ratings
00 Ratings
REST APIs
9.04 Ratings
00 Ratings
Call scripts
7.95 Ratings
00 Ratings
Call tracking
8.95 Ratings
00 Ratings
Multichannel integration
7.06 Ratings
00 Ratings
CRM software integration
9.06 Ratings
00 Ratings
Workforce Optimization (WFO)
Comparison of Workforce Optimization (WFO) features of Product A and Product B
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.
Google Cloud AI is a wonderful product for companies that are looking to offset AI and ML processing power to cloud APIs, and specific Machine Learning use cases to APIs as well. For companies that are looking for very specific, customized ML capabilities that require lots of fine-tuning, it may be better to do this sort of processing through open-source libraries locally, to offset the costs that your company might incur through this API usage.
Some of the build in/supported AI modules that can be deployed, for example Tensorflow, do not have up-to-date documentation so what is actually implemented in the latest rev is not what is mentioned in the documentation, resulting in a lot of debugging time.
Customization of existing modules and libraries is harder and it does need time and experience to learn.
Google Cloud AI can do a better job in providing better support for Python and other coding languages.
We are extremely satisfied with the impact that this tool has made on our organization since we have practically moved from crawling to walking in the process of generating information for our main task to investigate in the field through interviews. With the audio to text translation tool there is a difference from heaven to earth in the time of feeding our internal data.
It is reliable system. It has own IVR, Database(DynamoDB) Backend(Lambda) support of multi channel(email, chat & voice) Integration with some of the biggest CRM system
I give 8 because although it´s a tool I really enjoy working with, I think Google Cloud AI's impact is just starting, therefore I can visualize a lot/space of improvements in this tool. As an example the application of AI in international environments with different languages is a good example of that space/room to improve.
Every rep has been nice and helpful whenever I call for help. One of the systems froze and wouldn't start back up and with the help of our assigned rep we got everything back up in a timely manner. This helped us not lose customers and money.
In fact, you only need the basic tech knowledge to do a Google search. You need to know if your organization requires it or not,. our organization required it. And that is why we acquired it and solved a need that we had been suffering from. This is part of the modernization of an organization and part of its growth as a company.
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. Features like lense is amazing
These are basic tools although useful, you can't simply ignore them or say they are not good. These tools also have their own values. But, Yes, Google is an advanced one, A king in the field of offering a wide range of tools, quality, speed, easy to use, automation, prebuild, and cost-effective make them a leader and differentiate them from others.
Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
The ROI seems positive since we are full in with Google, and the tools come along with the functionality.