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Enhance Customer Conversations with Orchestrator LLM by Yellow.ai

Contextual Responses Without Training

Orchestrator LLM offers contextual responses without the need for extensive training or complex setup. By accurately identifying multiple intents and retaining context, this AI model guides users towards the main goal of the conversation, ensuring precise and effective interactions.

Human-like Conversations for Better Engagement

Experience high customer engagement with Orchestrator LLM's ability to conduct human-like conversations. By enabling operational excellence and understanding the entirety of customer dialogues, this AI model enhances user experience and ensures meaningful interactions.

Seamless Context Switching and Dynamic Conversations

Orchestrator LLM excels in seamless context switching for dynamic conversations. Unlike traditional FAQ bots, it retains past interactions in a memory window to loop back to the original query, enabling more natural and engaging discussions. It manages shifts in conversation effortlessly by engaging in small talk without losing sight of the primary goal, leading to a 60% improvement in Customer Satisfaction (CSAT).

Hassle-free Integration and Operational Efficiency

With Orchestrator LLM's adaptability, integration with existing systems like CRM, ERP systems, APIs, and knowledge bases becomes hassle-free. This AI model streamlines processes, workflows, and reduces operational costs by 60%, providing real-time and accurate information for enhanced decision-making.

Proactive Omni-channel Support and Human-Agent Collaboration

Orchestrator LLM ensures proactive omni-channel customer support by relaying appropriate responses across various channels including text, voice, and email. It suggests the best solution based on customer needs and seamlessly transitions to human-agent collaboration when necessary, offering a comprehensive and efficient support experience.


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Enhance Customer Service Operations with VoiceX: The Ultimate Customer Service Software Guide in 2024

Introduction to Customer Service Software

Customer service software is a suite of digital tools designed to help businesses manage, track, and enhance customer interactions across multiple channels. By streamlining communication between customers and service agents, this software enables more efficient handling of support requests, ultimately improving human agents' productivity.

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Revolutionize Contact Center Operations with VoiceX by Yellow.ai and Genesys Integration

Enhance Customer Satisfaction

VoiceX by Yellow.ai integrated with Genesys allows for autonomous and human-like voice AI agents to handle complex conversations, leading to increased customer satisfaction by up to 40%. Customers can experience seamless interactions that are personalized and efficient.

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Revolutionizing Customer Service: The Impact of VoiceX from Yellow.ai

Understanding Customer Service Automation

Customer service automation involves utilizing cutting-edge technologies like AI Agents, machine learning, and integrated software systems to handle customer interactions efficiently. It shifts from traditional models to a more technology-driven approach, focusing on quick, accurate responses and freeing human agents for more complex problems.

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Enhancing Customer Interactions with VoiceX by Yellow.ai

Introducing VoiceX: AI for Authentic Conversations

VoiceX by Yellow.ai offers incredibly human-like voice AI agents that autonomously handle complex conversations in real-time. These agents excel at engaging in context-aware dialogues, driving personalized interactions that lead to a significant improvement in Customer Satisfaction (CSAT) scores.

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Revolutionize Email Support with Yellow.ai's Advanced Automation Solutions

Enhance Customer Experience with Automated Email Support

Yellow.ai's Email Automation solution helps businesses automate up to 80% of incoming email queries, leading to quick, empathetic resolutions while reducing operational costs. By transforming the email support experience, businesses can drive measurable impacts such as an 80% self-service rate, a 60% reduction in operational costs, an 85% decrease in ticket volumes, and a 20% improvement in First Contact Resolution (FCR).

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