Loris AI

A core product area focused on evaluating and improving the quality of customer service interactions.

A feature likely used to categorize or label parts of conversations for analysis and organization. (Details on how tagging works are not explicitly provided, just that it's a feature).

Analysis of customer satisfaction levels based on conversation data.

Analysis and insights related to the performance of customer service agents.

The ability to generate summaries of customer conversations.

Identifying and analyzing the emotional tone or sentiment expressed in conversations.

Analysis of data related to Net Promoter Score surveys, presumably integrated with conversation data.

Analysis of spoken customer interactions (calls) to extract insights.

The fundamental capability of the platform, transforming raw interaction data into actionable insights.

These are the stated outcomes and benefits of using the platform's intelligence.

The underlying technological infrastructure that powers the analysis and insights.

Pre-built, proven AI models developed over 5 years and tested on millions of conversations, allowing for quick deployment.

The capability to connect to and pull in conversation data from various channels where customers interact.

Specifies the broad compatibility with different communication platforms.

Rephrasing of the core function, emphasizing the practical application of the output.

The process by which the platform extracts information and patterns from the ingested data.

The output of the analysis process – organized and insightful data derived from conversations.

Making the generated intelligence accessible and visible to the relevant people within the business.

Highlights the platform's ability to uncover valuable information that might not be immediately obvious.

Specifies the types of conversations processed and emphasizes the transformation into useful data.

Promotes the speed of implementation and the rapid realization of benefits.

Implies that the out-of-the-box models reduce the typical time and effort associated with setting up AI analysis.

Ongoing support and maintenance of the AI models by the Loris team, reducing the burden on the client.

A dedicated area providing understanding of customer sentiment, trends, and issues. Described as "The easiest way to VOC (Voice of Customer)".

Offers insights from high-level trends down to specific issues with ease; designed to provide insights the business can actually use; enables giving teams fast feedback anywhere.

A dedicated area for evaluating and enhancing the quality of customer service interactions.

A dedicated area offering tools or information to assist customer service agents, likely in real-time.

The ability to seamlessly connect with major customer service and interaction platforms.

Aims to streamline workflows and enhance support across various channels.

A specific application of the platform for Fintechs to understand customer experience across their various interaction points.

A predictive capability for Fintechs to identify potential problems early by analyzing conversation trends.

Helps Fintechs prove the quality of their service and monitor key performance indicators.

Highlights the efficiency gain for Fintechs by automating the analysis process.

Emphasizes the scale and speed at which insights are generated.

A security and compliance certification indicating adherence to trust principles.

Adherence to General Data Protection Regulation standards.

An international standard for information security management.

Mentioned as a product area or feature, likely providing a summary or core understanding of conversations or trends. (Specific function details not provided).

Mentioned as a product area or feature, suggesting an interactive way to query the platform for specific information from conversation data. (Specific function details not provided).

Indication that the platform offers resources or features to compare itself against competitors in the market.