Verint Speech Analytics is a tool used to transcribe and analyze millions of calls to discover customer insights and improve contact center performance in the cloud.
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Zoom Contact Center
Score 8.4 out of 10
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Zoom Contact Center helps businesses deliver prompt, accurate, and highly personalized customer experiences that drive loyalty. It includes intelligent self-service and routing, a unified communications and contact center, and video optimized high-touch engagements.
Using the verint speech to troubleshoot the mobile app and before we did not have any viability on this topic before. Also before we had no way to look at anything that the guest had going on and now we are really able to drill down in every way to take care of the guest needs
The Contact Centre is fantastic for our festival environment; these systems are rarely accessible to an arts organisation without a significant premium. However, that's not the case with Zoom Contact Centre. It may be tricky initially if you don't have an IT Company to help you with the integration, but they have a great Professional Services Team (PSO) to guide you through the process. Be prepared for the transition to take a few months; I wouldn't recommend it if you need something set up today. Moving phone numbers from other Telcos takes time, and the PSO can provide a custom solution that takes time to develop.
One of the things that I find extremely beneficial about Verint Speech Analytics is the transcription. Sometimes you have an hour call, an hour and a half call, and you don't have time to listen to an hour and a half call. The beauty is that we can find the transcription and then we can look in it. It specifies where if you look in the interaction details in the back of the call, you can actually see the transcription. You can see it'll identify where in the call, what line at what timestamp did that call hit your category and with what string, with what term did it hit. And that is extremely beneficial. And we're trying to go through and find those little points of, sometimes they're points of abrasion, sometimes there are things that are going really well. I love that we have a transcription. I love that we can also see the screens that is vital because a lot of times, and again, not that we're trying to find something bad, but the reality is in any industry, there's in any call center environment, should I say, there's call avoidance. There's always going to be some agents, it's just in any call center, in any industry, it happens.
Or sometimes our agents are just struggling. And if you see in real life, for example, a very high silence time, when we notice a trend, we'll start going into those calls and actually looking at those screens and seeing, is silence time call avoidance or could it be the agents are having difficulty utilizing the resources? Are the resources not clear? Is that what the delay is? Are they having trouble trying to find the answer? And a lot of times we found that too. We found they're searching and clicking and searching and clicking and it's because they just didn't know where to go. So that is a coaching opportunity. And sometimes it's a coaching opportunity, not so much in a positive way because they're purchasing things from Amazon. But I think, like I said, that's inherent in any call center environment. I do find the screens, the transcription, the trend analysis that's available within speech, there are so many things I could literally sit here and talk to you for quite some time.
We love it. And I'm even more excited personally now because I learned so much, as I was saying, about being in the cloud and being in that open-source environment where all of these enhancements that Verint has. And they're so often that they enhance their products and their offering now these little bots and AI to help with all of these different aspects, but that's only available if you're in the cloud and the open source. So there's a lot of benefit in being in prem, in net platform, which is where we are. And we were able to provide a lot of meaningful insight and guidance into a lot of different pain points in the company. But I anticipate, and I have full confidence, that we'd be a much more effective team once we're able to move into the cloud. So I'm very hopeful for that. I'm anticipating what else we could discover.
Automated scrubbing of PCI and PII data from transcription transcripts and recordings. Using AI to detect the payment screens in a real time manner vs having to program triggers.
Easier way to bulk export transcriptions and recordings for our legal teams.
Go deeper into a true separation of parameters, reporting, management, etc. so you could have multiple business units with very different needs, independently work. Some sort of "Multi-Tenant-Like" capabilities like the one seen in Zoom Phone Locations. In situations like these where you need "location/team isolation" is challenging, if not impossible to implement with Zoom Contact Center.
More pre-canned integrations and ready-to-go examples to implement thins like the "InApp-Chat" channel for the Zoom Client Itself. This could be a great addition, especially when you use the ZCC to service your own company.
ZCC is meant to be an independent solution that could interact with Zoom and non-Zoom products, but the capability to allow a tight-integration with Zoom Phone is really missing: Having the capability to make/receive calls between ZP and ZCC using just extension numbers should have been a given from the get-go; it really limits the use cases of Zoom Contact Center with its other star product Zoom Phone. I heard something is coming to address this, for lack of a better word I call "shortcoming", so I am really looking forward to see what is "being cooked" on this regard.
Licensing Tiers: ZCC is really missing an Admin-Only Role from the licensing perspective; you have to "waste" a license to add Administrators, which is particularly bad when you have a fairly large organization with multiple admins.
This platform offers a wide range of features inclusive of the transcript generation which is text analysis and speech analysis. This helps in tracking the customer requirements and getting them a product they desire. Also the API integration with other tools have a scope of improvement. The UI can be improved and costing can be reduced
First and foremost for our results, the omnichannel approach and ease of use on the internal side (agents, supervisors and administrators) have made adoption very simple, we have managed to reduce response times (SLA) and internal communication has become very fluid. We get good feedback from our clients for having implemented ZCC in the company to serve them.
Verint Speech Analytics stacks up well against workforce management, we use workforce management mainly for forecasting and scheduling. We selected Speech Analytics because we want to know not only why customers are calling but what is being said in calls. Sometimes customer might get angry or they might ask for a supervisor so when we need to look at escalated calls Speech Analytics helps us pick those out.
There are options and ways to get to specific feature sets that are similar to what Zoom can offer. Many of the Zoom included features are add-ons for the RingCentral offering. So cost goes up and can also be an add-on difficulties/deployment costs as well. When we reviewed the features needed and the cost comparison, Zoom was less than half the cost with many of the features baked in as opposed to add-ons
The system is relatively reliable with minimal downtime. However, when there is an issue, it is often addressed slowly and causes significant business issues
We migrated away from a telephony system that was antiquated and almost unusable for what we wanted to do, so Zoom has been a huge improvement for us!
We're continuing to roll out new channels of contact for customers -- Calls, chat, video, email, etc.
We're still getting our sea legs from a reporting perspective, and that could always be better, but so far the biggest improvement was for our staff actually using the software. They really enjoy the simplicity and robustness of the software.
