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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Salesforce Service Cloud
Score 8.4 out of 10
N/A
Service Cloud is a customer service platform that helps businesses manage and resolve customer inquiries and issues. It provides tools for case management, knowledge base, omni-channel support, automation, and analytics, enabling companies to deliver exceptional customer service experiences.
$25
per month
Pricing
Google Cloud Contact Center AI
Salesforce Service Cloud
Editions & Modules
No answers on this topic
Starter Suite
$25
per month
Pro Suite
$100
per month per user
Enterprise
$165
per month per user
Unlimited
$330
per month per user
Agentforce 1
$550
per month per user
Offerings
Pricing Offerings
Google Cloud Contact Center AI
Salesforce Service Cloud
Free Trial
No
Yes
Free/Freemium Version
No
Yes
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
Google Cloud Contact Center AI
Salesforce Service Cloud
Features
Google Cloud Contact Center AI
Salesforce Service Cloud
Contact Center Software
Comparison of Contact Center Software features of Product A and Product B
Google Cloud Contact Center AI
8.4
13 Ratings
1% above category average
Salesforce Service Cloud
-
Ratings
Agent dashboard
8.513 Ratings
00 Ratings
Validate callers
7.911 Ratings
00 Ratings
Outbound response
8.211 Ratings
00 Ratings
Call forwarding
8.611 Ratings
00 Ratings
Click-to-call (CTC)
8.911 Ratings
00 Ratings
Warm transfer
8.810 Ratings
00 Ratings
Predictive dialing
8.39 Ratings
00 Ratings
Interactive voice response
8.411 Ratings
00 Ratings
REST APIs
7.211 Ratings
00 Ratings
Call scripts
8.111 Ratings
00 Ratings
Call tracking
8.411 Ratings
00 Ratings
Multichannel integration
8.712 Ratings
00 Ratings
CRM software integration
8.711 Ratings
00 Ratings
Workforce Optimization (WFO)
Comparison of Workforce Optimization (WFO) features of Product A and Product B
Google Cloud Contact Center AI
8.5
13 Ratings
3% above category average
Salesforce Service Cloud
-
Ratings
Inbound call routing
8.312 Ratings
00 Ratings
Omnichannel inbound routing
8.111 Ratings
00 Ratings
Recording
8.813 Ratings
00 Ratings
Quality management
8.911 Ratings
00 Ratings
Call analytics
9.012 Ratings
00 Ratings
Historical reporting
9.011 Ratings
00 Ratings
Live reporting
8.410 Ratings
00 Ratings
Customer surveys
8.18 Ratings
00 Ratings
Customer interaction analytics
8.410 Ratings
00 Ratings
Incident and problem management
Comparison of Incident and problem management features of Product A and Product B
Google Cloud Contact Center AI
-
Ratings
Salesforce Service Cloud
8.8
77 Ratings
9% above category average
Organize and prioritize service tickets
00 Ratings
9.475 Ratings
Expert directory
00 Ratings
8.553 Ratings
Subscription-based notifications
00 Ratings
8.663 Ratings
ITSM collaboration and documentation
00 Ratings
8.260 Ratings
Ticket creation and submission
00 Ratings
9.375 Ratings
Ticket response
00 Ratings
9.174 Ratings
Self Help Community
Comparison of Self Help Community features of Product A and Product B
Google Cloud Contact Center AI
-
Ratings
Salesforce Service Cloud
8.7
72 Ratings
10% above category average
External knowledge base
00 Ratings
8.463 Ratings
Internal knowledge base
00 Ratings
8.970 Ratings
Multi-Channel Help
Comparison of Multi-Channel Help features of Product A and Product B
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.
It is a helpful tool, but it can be a bit cumbersome to manage. It is also a bit expensive, but we already use CRM for Salesforce and it is convenient to be able to immediately tag contacts and accounts when the tickets come into the system and tie them directly to the account. I do know an integration with Jira is possible (we use Jira internally for our engineering team to escalate issues) but it is not configured right now so managing the connection between support tickets and Jira tickets is manual and hard to keep up with
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.
Professional edition works best for a small company with lower call volumes and is very useful but as you grow exponetially I think it has limited ability to do all the things we want to - SLA management, defect, release management to name a few. Reports and dashboards being available in real time.
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.
I had Salesforce experience prior to using Service Cloud which made it a little easier to learn and navigate, but overall my team (some who had no Salesforce experience) caught on very quickly and found Service Cloud to be easy to use.
Salesforce's Trust Center clearly communicates occasional issues to anyone who subscribes, down to an organization's cloud instance. Bundled sandboxes ease updates, and seasonal upgrades are seamless, scheduled well in advance with plenty of information about what's coming. Support agents have noticed intermittent Omni-Channel disconnects due to internet connections, and these are clearly notified.
The Salesforce Service Cloud generally has very good performance, however the overall new Lightning user experience can bring that down. For example, if you have too many tabs open, then it can take a while for the Lightning UI to load. This UI is probably not well equipped to handle loading of all of that information at once, but Users tend to leave their tabs open all day long. It can also be fickle depending on which browser you use, what extensions you have installed, and whether you've cleared your cache. This can be the downfall with any software as a service though, not just Salesforce
Salesforce offers support, although it generally gets routed to overseas support teams first, and once they are unable to help, it gets escalated up the chain to higher tiers. Frequently, the answer back from support is that there is no native solution, and we either have to turn to the AppExchange for some solution provided by another developer, or custom build our own solution.
Our in-person training was provided by our implementation partner and it was quite good. This was in part because we were already working with them and so it naturally leant itself to a good training relationship. And because they were building our customizations and configuring things, they could then provide training on those things naturally.
Trailheads are great but it was often unclear what actually applied to our organization. This made it difficult to get a whole lot out of it. Part of it is that because the basic Salesforce features didn't quite work for us, we had to add customizations, which then nullified a lot of the training.
I would go through an implementation very differently knowing what I know now. It was difficult coming from systems we liked in post-sales service and having to adapt to the clunky and underwhelming feature set in Salesforce. I would trim back our expectations
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.
Salesforce service cloud is more configurable than Zendesk and Freshdesk. It has its own inbuilt AI chatbot also which further improves service agent efficiency. Salesforce is more integration agnostic and has pre-built connectors with multiple 3rd party systems. However, in terms of pricing it is priced at a premium compared to the other solutions
Because this is a cloud service, the security, implementation framework and feature list is very mature and you don't have to develop these during implementation.
The larger the implementation programme the better the licensing arrangements
Free developer toolkit for proof of concepts or showcasing features