Prodsight automatically tags Zendesk tickets with sentiment and topic classifications using AI across 100+ languages, populating custom ticket fields to enable skill-based routing, automations, and reporting. The app analyzes incoming tickets and updates tags throughout the conversation lifecycle, and can also process customer reviews, surveys, and NPS feedback for centralized insight across channels. Support teams benefit from reduced manual tagging workload and improved data for routing decisions and customer sentiment analysis.
Vendor Description
Automate your ticket tagging process, save valuable agent time and get deeper customer insights that ever before with Prodsight.
Say goodbye to manual tagging
- Prodsight automatically tags your tickets so you don't have to
- Prodsight uses AI to detect user sentiment and intent for superior accuracy
- Works with 100+ languages including Spanish, German, French and Russian.
Auto-populate Ticket Fields with Sentiment and Topics
- Prodsight will analyze the subject and description of all incoming Zendesk tickets and automatically populate the ticket fields based on sentiment and topics
- When the ticket is solved, Prodsight will analyze all user replies and will update the fields with any additional Topics discussed for accurate reporting
- Use field data to run Skill-based assignment rules, power automations and build reports in Zendesk Explore.
Analyze all your customer feedback in one place
- Prodsight can not only tag your Zendesk tickets but also all your reviews, surveys and NPS feedback
- Easily manage your central taxonomy for tracking customer issues across all channels
- Leverage intuitive reporting tools specifically designed for monitoring customer sentiment.
Start your free 14-day trial or book a quick demo today.
Installation
Connecting Prodsight with Zendesk takes only a couple of minutes. You can find the full instructions on our Help Center.
Terms: auto-tagging, ticket tagging, sentiment, tag, topics, issues, ML, machine learning, AI, artificial intelligence, tagging, text mining, text analytics, text analysis, ticket analysis, tag analysis.
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