Zendesk Sentiment Analysis of Ticket Content Using Natural Language Processing (NLP)
Let’s be honest: Nobody likes to wait. This is especially true for dissatisfied customers. In order to prevent customers in a negative mood from migrating
Let’s be honest: Nobody likes to wait. This is especially true for dissatisfied customers. In order to prevent customers in a negative mood from migrating
Phone and email together account for over 50% of incoming requests in many support teams. Yet telephony often runs parallel to Zendesk rather than inside
Sometimes a customer request requires the involvement of different internal departments or external parties (e.g. sales, insurance, shipping). By installing the Side-Tickets-App any agent can
A major issue in Customer Service are recurring requests, which could be solved by using a chatbot. It is important to identify situations/use cases, in
Many of our customers ask us about Zendesk Sunshine use cases. So we decided to differentiate between a couple of different scenarios. Focus for this
We created the dynamic deep links App for Zendesk, because our customers often had the need to jump to other websites from within Zendesk using
How can it be achieved inside Zendesk to parse a Zendesk subject or a ticket descriptions for datefields and store the content in a custom
How can it be achieved inside Zendesk to parse a Zendesk subject or ticket descriptions using regular expression and store the content in a custom
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