This n8n workflow automates the process of extracting, analyzing, and visualizing Zendesk support tickets using InfraNodus. It begins by gathering tickets based on user-defined search criteria, then processes ticket metadata to categorize and clean the data. The workflow creates an interactive knowledge graph that highlights main topics, support trends, and potential content gaps. Using AI-assisted analysis, it generates topical summaries and business insights. Finally, it sends notifications and detailed reports via Slack, email, and Telegram, enabling support teams to quickly understand customer issues and identify opportunities. Practical use cases include support ticket review, customer feedback analysis, and strategic planning for product improvements.
Automated Zendesk Ticket Analysis with Knowledge Graphs
Node Count | >20 Nodes |
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Nodes Used | code, form, formTrigger, gmail, httpRequest, if, scheduleTrigger, set, slack, stickyNote, telegram, wait, zendesk |
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