Loris

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Loris automates customer service reviews and provides real-time agent assistance using AI for various industries.

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What is Loris?

Loris is a Conversational Intelligence tool designed to enhance customer service for leading brands by automating the review process of customer interactions, identifying recurring customer issues, providing real-time assistance to agents, and generating valuable insights from conversations. It can be adapted to various sectors such as BPOs, Fintech & Financial Services, Retail & E-commerce, and Telecom. Loris works by leveraging AI models trained on real customer service conversations to improve efficiency, accuracy, and customer satisfaction in service interactions.

Who created Loris?

Loris was created by Guy Halevy, Seth Levine, Christina Drum, and Kavan Edwards. It was launched on December 17, 2021. The company behind Loris is focused on providing a more empathetic approach to conversations using AI to enhance customer experience and make interactions more accessible. The company is based in New York, U.S.A. and Tel Aviv, Israel.

What is Loris used for?

Automating customer service processes
Automating customer service with AI models trained on real conversations
Providing assistance to agents during live interactions
Identifying recurring customer issues
Transforming customer interactions using AI
Enhancing customer service efficiency
Boosting customer satisfaction through real-time guidance to agents
Improving customer experience by uncovering needs and creating solutions
Generating valuable customer insights
Identifying root causes of problems
Adapting to various sectors including BPOs, fintech, retail, and telecom
Enhancing time-consuming customer service processes
Providing real-time assistance to agents during customer interactions
Providing insights about customer interactions
Transforming customer interactions with AI
Improving efficiency and accuracy of customer service
Adapting to various sectors
Boosting productivity with higher concurrency
Creating consistent & on-brand conversations

Who is Loris for?

BPOs
Customer-centric brands
Fintech & Financial Services
Retail & E-commerce
Telecom
Customer service representatives
Customer Service Managers
Customer Experience Analysts
Customer service trainers
Customer service agents
BPO Professionals
Retail and e-commerce professionals
Telecom professionals
Fintech and Financial Services Professionals

How to use Loris?

To use Loris effectively, follow these steps:

Understanding Loris: Recognize that Loris is a Conversational Intelligence tool designed to enhance customer service quality for various brands by providing actionable insights and optimization opportunities.
Key Features: Familiarize yourself with the key features of Loris, including automation of customer service processes, efficient conversation review, problem identification, real-time agent support, and adaptability to different sectors.
Functionality: Loris operates by utilizing a library of AI models trained on real customer service interactions, enabling it to automate conversation reviews, accurately identify customer issues, and offer real-time assistance to agents during interactions.
Automation: Learn how Loris automates customer service by leveraging AI models trained on millions of conversations to audit interaction data, identify root customer issues, and provide guidance to agents swiftly and effectively.
Sector Adaptability: Understand that Loris can be utilized across various sectors such as BPOs, Fintech, Retail, E-commerce, and Telecom, making it a versatile tool for different industries.
Efficiency Enhancement: Loris streamlines customer service processes by automating interaction reviews, identifying customer issues efficiently, and offering real-time support to agents, ultimately leading to improved response times, issue resolution accuracy, and customer satisfaction.
Real-Time Assistance: Loris provides real-time support to agents by guiding them during customer interactions, enhancing policy compliance, satisfaction levels, and agent efficiency.
Insights Generation: Utilize Loris to gain insights into customer frustrations, hidden needs, and areas for improvement, enabling tailored solutions and enhancing customer experience.
AI Integration: Recognize how Loris applies AI to transform customer interactions by understanding content, sentiment, and context, thereby identifying issues, providing insights, and aiding agents in delivering effective responses.
Library of AI Models: Appreciate that the library of AI models in Loris is essential for deep understanding of customer conversations, assisting in auditing conversations, identifying issues, and providing valuable insights.

By following these steps, users can effectively leverage Loris to automate processes, enhance customer service, and drive growth and efficiency across various sectors.

Pros

Can be employed in retail & E-commerce
Real-time sentiment analysis
Conversational Intelligence
Useful for BPOs
Compatible with existing service platforms
Automates time-consuming tasks
Improves customer service quality
Enhances conversation review processes
Identifies root causes of problems
Generation of valuable insights
Customer-Centric Approach
Applicable to telecom sector
Transforms customer interactions
Used in Fintech & Financial Services
Domain expertise in customer experience

Cons

No explicit language support
No integration with social media platforms
Doesn't support voice interactions
No explicit multi-channel support
No automated workflows
Limited sectors of use
Requires existing customer service platforms
No explicit data security measures
No available offline mode

Pros

Cons

Can be employed in retail & E-commerce
Real-time sentiment analysis
Conversational Intelligence
Useful for BPOs
Compatible with existing service platforms
Automates time-consuming tasks
Improves customer service quality
Enhances conversation review processes
Identifies root causes of problems
Generation of valuable insights
Customer-Centric Approach
Applicable to telecom sector
Transforms customer interactions
Used in Fintech & Financial Services
Domain expertise in customer experience

No explicit language support
No integration with social media platforms
Doesn't support voice interactions
No explicit multi-channel support
No automated workflows
Limited sectors of use
Requires existing customer service platforms
No explicit data security measures
No available offline mode

Loris FAQs

How does Loris automate customer service?: Loris automates customer service by leveraging AI models trained on millions of real customer service conversations. These models support the automatic audit of customer interaction data, help discover the root causes of frequent customer issues, and provide on-the-spot assistance to agents, guiding them towards effective responses.

What sectors can Loris be used in?: Loris is versatile and can be adapted to a variety of sectors including BPOs, customer-centric brands, Fintech & Financial Services, Retail & E-commerce, and Telecom.

How can Loris enhance time-consuming customer service processes?: Loris streamlines time-consuming customer service processes by automating the review of customer interactions, and providing a deep understanding of inherent customer issues. This leads to increased speed and reliableness, greatly boosting existing customer service efforts.

In what way does Loris provide real-time assistance to agents during customer interactions?: Loris offers real-time assistance to its users by guiding agents during live customer interactions. The AI models suggest the right responses at the right time, thus improving policy compliance, enhancing customer satisfaction, and shortening agent ramp time.

What specific insights can Loris provide about customer interactions?: Loris provides insights into why customers may be frustrated, unearths the needs hidden in every conversation, and highlights opportunities for improvement and efficiency. It aids in understanding the root cause of frequent or emerging customer issues, thereby enabling the creation of relevant solutions.

How is Loris using AI to transform customer interactions?: Loris uses AI to transform customer interactions by applying deep learning to understand conversation content, sentiment, and context. This process allows the tool to identify overarching customer issues, generate actionable insights, and help agents provide more tailored and effective responses.

What is the purpose of the library of AI models in Loris?: The purpose of the library of AI models in Loris is to provide a deep understanding of customer service conversations. They are trained on millions of real customer conversations which enable them to assist in auditing conversations, discover customer issues, provide real-time agent assistance, and generate valuable customer insights.

In what ways can Loris improve the efficiency and accuracy of customer service?: Loris boosts customer service efficiency and accuracy by automating the review process of customer interactions, effectively identifying inherent customer issues, and providing real-time assistance and guidance to agents. This enables quicker responses and resolutions, higher accuracy in addressing customer concerns, and ultimately results in improved customer satisfaction.