Loris - ai tOOler
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Loris
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Customer experience analysis (3)

Loris

Turn customer interactions into valuable insights and chances for growth.

Tool Information

Loris is a powerful Conversational Intelligence tool that helps brands turn customer interactions into valuable insights for growth and improvement.

At its core, Loris is here to make customer service better and more efficient. It uses smart AI models that have learned from countless real-life conversations, allowing it to automate many of the time-consuming tasks involved in reviewing customer interactions. The best part? It maintains a high level of accuracy, so you don’t have to worry about losing quality as you optimize your processes.

This tool isn’t just about speeding things up; it also digs deep into customer data to uncover patterns. By pinpointing recurring issues that customers face, Loris helps businesses get to the heart of what’s causing dissatisfaction. This insight is crucial for making meaningful improvements and enhancing the overall customer experience.

Another great feature of Loris is its ability to provide real-time support to customer service agents. This means that while they're interacting with customers, they get immediate assistance, which helps them respond more effectively. This kind of support can really make a difference in those crucial moments when a customer is reaching out for help.

What’s more, Loris is incredibly versatile. It can be utilized across various industries like BPOs, customer-focused brands, fintech, retail, e-commerce, and telecom. With its strong background in customer experience, Loris is perfect for any business looking to up their customer service game and gather valuable insights from every interaction.

Pros and Cons

Pros

  • Ensures quality through automation
  • Increases QA coverage.
  • Boosts CSAT scores
  • Simplifies agent coaching
  • Can be used for various purposes
  • Helpful for BPOs
  • Focuses on customer needs
  • Expert knowledge in customer experience
  • Boosts efficiency
  • Transforms how customers interact
  • Analyzes sentiment in real time
  • Enhances quality of customer service
  • Relevant to telecom industry
  • Conducts complete conversation audits
  • Suitable for retail and e-commerce
  • Improves how conversations are reviewed
  • Used in Fintech and financial services
  • Automates scoring of conversations
  • Reduces handling times
  • Generates useful insights
  • Helps find growth opportunities
  • Identifies areas for improvement
  • Adjusts to different industries
  • Gives real-time support for agents
  • Provides reliable performance
  • Automates repetitive tasks
  • Helps improve agent performance
  • Finds root causes of issues
  • Works with existing service platforms
  • Speeds up QA process
  • Automates conversations
  • Spots common problems
  • Uses conversational intelligence
  • Maintains accuracy in conversations
  • Offers real-time help to agents

Cons

  • Doesn't support voice features
  • No link with social media platforms
  • Needs existing customer service systems
  • No clear language support
  • No automated processes
  • No offline mode available
  • No clear multi-channel support
  • No clear data security steps
  • Limited areas of use

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