Explore new possibilities and Summarize Technical Support Tickets with AI

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Aug 6th, 2022
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01. Upload a document from your computer or cloud storage service.
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02. Modify your document or let the ai PDF editor summarize, rewrite, or proofread your PDF.
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03. Sign your document online in a few clicks.
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04. Send, export, fax, download, or print out your document.

Summarize Technical Support Tickets using AI without the need of batting an vision

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Document managing is an important part of your everyday tasks and workflows. Nevertheless, this fundamental task may occasionally feel overwhelming without the proper platform. Luckily, DocHub can transform your experience for the better. Introducing ChatGPT-powered capabilities, we aim to accelerate your routine tasks so you can put your time to better use. Summarize Technical Support Tickets, eSign, share, and securely store your documents in one place without changing between options.

How to Summarize Technical Support Tickets with AI quickly

  1. Get a free DocHub profile to begin working.
  2. Upload your document and wait for it to open within the editor.
  3. Start a ChatGPT Assistant and click on the Summarize feature.
  4. Summarize Technical Support Tickets and review the results.
  5. Make other modifications utilizing the Manage Fields sidebar.
  6. Assign people to fillable fields to accelerate the completion process.
  7. Download or share your document using an email attachment or invite link.

Your workflows don’t have to be complicated or demand expensive platforms. DocHub check all of the boxes for a modern, easy-to-use, and versatile platform for your business or individual use. Summarize Technical Support Tickets using AI, simplify workflows, gather eSignatures, and reclaim your business hours. Begin a free trial today to try out the power of AI!

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Got questions?

Below are some common questions from our customers that may provide you with the answer you're looking for. If you can't find an answer to your question, please don't hesitate to reach out to us.
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Some examples of AI and automation in customer support include chatbots, natural language processing (NLP), face and voice recognition, interactive voice response (IVR), and intelligent virtual assistants (IVAs). AI technology is relatively new and will continue to evolve and improve.
15 Ways to Effectively Manage Your Ticket Queue Provide a Self-Service Support System. Assign Priority on a First-Come Basis. Set and Monitor All Ticket Statuses. Use a Digital Adoption Platform for Better User Training and Support. Give Biggest Clients Support Priority. Automate Workflows Wherever Possible.
AI leverages data analytics solutions and helps visualize relevant ticketing metrics through advanced dashboards. These insights help identify the average cost per ticket, the average cost per incident, the category, and where the business needs to improve or initiate new practices in resolving user issues.
AI enables you to set up automated responses to customer requestsmeaning instant replies where possible. Trickier problems are streamlined to the relevant support agents inbox, and theyre able to provide solutions and support faster than ever.
Identify key issues mentioned by customers across the board. Sort tickets by product to assess sentiment for individual products. Prioritize urgent issues mentioned by customers. See customer suggestions to improve products.
The most common and generally best way to organize your support tickets is by issue type. I say its best because, in most cases, organizing by issue type will map nicely to the people who work on issues of that type. Type also tends to be the primary, high-level metric that most interests management.
The Ticket Analysis visualization provides a breakdown of the different types of tickets being submitted to your help desk. Ticket categories may include ticket type, priority level, assigned agenty, and ticket source. This analysis is designed to uncover trends behind tickets being submitted.
Customer experience Identify key issues mentioned by customers across the board. Sort tickets by product to assess sentiment for individual products. Prioritize urgent issues mentioned by customers. See customer suggestions to improve products.

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