
What I appreciate most is the intelligence integrated directly into the ticket. When that urgent machine down call came in, I immediately had all the information I needed. I could see that the customer had a churn risk flag and that the machine’s warranty was about to expire. Instead of wasting time gathering account details, I was able to jump straight into troubleshooting. Having that comprehensive, 360 degree customer view is absolutely essential. The machine learning suggestions are also a real game changer. That feature cut my troubleshooting time in half by instantly recommending a firmware update, which turned out to be the most likely fix. Meeting that critical one hour SLA wouldn’t have been possible without the system essentially guiding me to the solution. It brings everything together, customer data, the knowledge base, and even the field service calendar, so I can resolve the issue completely in one place. Review collected by and hosted on G2.com.
In my opinion, the main drawback lies in the aspects you don't encounter every day. While the agent experience is excellent, I'm aware that configuring the back end is extremely complex. Setting up intelligent routing rules and ensuring the field service management integration works seamlessly for technician scheduling requires significant effort and specialized expertise. Achieving that comprehensive 360 degree view is definitely not a simple plug and play process. Additionally, there's a minor issue: when I close a ticket and want to update the knowledge base, the process for adding my successful resolution feels a bit cumbersome. It involves more steps than necessary. Since contributing to the knowledge base is crucial for the system's effectiveness, I really wish this process were more streamlined. Review collected by and hosted on G2.com.
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