Microsoft offers the Azure Bot Service (replacing the former Microsoft Bot Framework), a managed bot building platform, which provides an integrated environment that is purpose-built for bot development, enabling you to build, connect, test, deploy, and manage intelligent bots, all from one place.
N/A
Salesforce Service Cloud
Score 8.6 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
Azure AI Bot Service
Salesforce Service Cloud
Editions & Modules
No answers on this topic
Starter Suite
$25
per month
Professional
$80
per month
Enterprise
$165
per month per user
Unlimited
$165
per month per user
Unlimited+
$165
per month per user
Offerings
Pricing Offerings
Azure AI Bot Service
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
—
—
More Pricing Information
Community Pulse
Azure AI Bot Service
Salesforce Service Cloud
Considered Both Products
Azure AI Bot Service
No answer on this topic
Salesforce Service Cloud
Verified User
Employee
Chose Salesforce Service Cloud
I didn’t use it that long to really know the difference. Spent little time before moving to a new CRM.
It is suited for applications like computerizing messages, or any business thought that would require the entrepreneur to robotize their reactions, particularly assuming they are managing a ton of clients and they can't answer to every single one of them. It'd be the most ideal to computerize messages of enormous associations where the reactions measure up to the clients' assumptions. It would be less appropriate in associations where clients' viewpoints matter and every client is interesting and requires the association's consideration, where the specialist organization doesn't need to sum up the clients' interests.
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
They have simplified the coding for the bot in Azure, but it would help if the coding was further simplified so that non-IT can operate [and] create it easily.
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.
Azure Bot Service provides an integrated environment for bot development. Microsoft Azure Cloud is fully compatible and its security features. It's more important to pay attention to the logic of business than the specifics of each messenger. We don't have any issues using the bot framework because the implementation is excellent.
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
Microsoft Bot Framework is much better and well more established without a lot of proprietary software/coding language. Lex is very limited with integration with standard hardware and network configurations. Lex has performance issues and was too slow to meet near real-time collaboration requirements. Bot Framework complements many other Microsoft communication products and this was key to implementing without a lot of new training required.
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
Interfaces with the SQL data set, tracks down plans/replies, and tests them with the SDK.
Utilizing the system is made conceivable by the Bot Dev gateway. We can interface our bot in excess of ten channels, including Twilio Facebook, Twilio, Twilio, and Slack, and that's only the tip of the iceberg.
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