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CallMiner is complex, syntax-heavy, and reactive. Loris is intuitive, with AI that highlights the emerging issues CallMiner can’t – so you can make faster, better decisions.
To understand how these two Customer Analytics platforms compare, it starts with how they produce customer insights.
Loris is the modern, intuitive alternative to CallMiner – designed for organization-wide adoption.
Customer Analytics Features | ||
---|---|---|
Proprietary AI Models Proven on 500M Conversations & Maintained by a Dedicated Data Science Team | YES | NO |
Automated Hierarchy of Customer Contact Reasons Generated for you (no Complex Syntax needed) | YES | NO |
Automated Emerging Issue Detection | YES | NO |
Out-of-the-Box Voice of the Customer Dashboards & Reports | YES | NO |
Modern, Intuitive Interface Can Be Used Without Specialized Technical Knowledge | YES | NO |
Ability to Get Started in Weeks & See Fast ROI | YES | NO |
YES | |
NO |
YES | |
NO |
YES | |
NO |
YES | |
NO |
YES | |
NO |
YES | |
NO |
Read how one brand made the switch from CallMiner to Loris, enabling them to:
Understanding conversations is all we do. Learn more about making the switch from CallMiner to Loris by scheduling time with our team or downloading the case study.
Founded in 2002, CallMiner is veteran firm in the speech analytics and interaction analytics software market. Over the years, CallMiner has won many accolades for its conversation intelligence tools.
CallMiner has a number of both traditional and emerging competitors in the conversational intelligence..
AI native offerings focused on customer analytics and quality assurance:
More traditional offerings focused on quality assurance:
CallMiner was one of the pioneering tools in customer analytics, allowing organizations understanding of their customer service phone interactions like never before.
That being said, CallMiner’s analytics rely on what is now dated technology, requiring complex syntax and a knowledge of how to use it. This may limit who and how much CallMiner is used. In addition, the rigidity of this approach may limit the ability to surface new or novel customer issues, such as a product issue that has never been seen before. Because CallMiner requires the hard-coding of specific terms, new issues could go undiscovered until explicitly programmed.
CallMiner is used in many established enterprise organizations, and like other established technologies, has its proponents. These are the ones who have used it for years, and therefore have the technical know-how to optimize the tool.
Organizations who don’t already have this knowledge may want to consider alternatives that are more user friendly.