Use Text Analytics and Machine Learning to Dissect

and Analyze Complex Customer Support Data

Analyze your customer support data with BytesView’s Customer Support Solution and identify valuable insights from unstructured text data. Prepare your support teams for all possible contingencies and increase efficiency.

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Integrate Customer Support with Machine Learning

Companies receive a lot of support queries from multiple channels such as emails, support tickets, chat conversations with customer support representatives, automated chatbots, forums, etc. That is a lot of text data filled with valuable insights that can improve response rates and the overall customer support experience.

BytesView customer support solution can help your support teams be prepared for all unexpected emergencies or interactions with customers. It can gather and analyze customer support data from multiple channels and analyze it to provide valuable insights to improve the efficiency of your support teams.

How does it work?

Gather the Data

BytesView is an effective tool that can help you connect and accumulate support data from multiple customer support channels on a single platform.

  • Gather data from multiple channels including emails, chat conversations, chatbot interactions, forums, etc.
  • Compile all data into a single CSV file or Google Spreadsheet
  • Gather and upload data through third-party data compiling tools
Gather the data
Integrate customer data with bytesview
Integrate the Data Feed with BytesView

After compiling the data into an Excel/CSV file or Google Spreadsheet, integrate the support data with the BytesView system. Following are the ways:

  • Directly upload the Excel/CSV file on the BytesView platform
  • Install BytesView plugin for Zendesk and Google Spreadsheets to integrate data with BytesView
  • Integrate BytesView API with your system and build custom customer support models
Auto-tagging and analysis of Support Data

After integrating the data with BytesView, you can start analyzing it by selecting from the various machine learning models we offer.

  • Automate tagging of incoming tickets based on focused issue and intent to increase efficiency and response rate
  • Track recurring customer complaints, queries, and suggestions to identify key issues and make decisions accordingly
  • A statistical overview of data to help provide superior customer support experiences
Auto tagging and Analysis of support data
Present the output
Present the Output

Efficient and easy to interpret analytical dashboard that provides a comprehensive overview of support data through statistical insights.

  • Identify trending customer support tickets, queries, and requests
  • Statistical insights to prepare your support teams with solutions for all issues and increase productivity
  • Insights to help construct pre-planned responses for every possible customer support query
Export the Data

You can extract all useful statistical insights from BytesView’s analytical dashboard to a PDF file.

  • Extract all analytical dashboard statistical data to the PDF file
  • Export data just by a few clicks
  • Measure response time and quality over time
cs export the data