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  • Generative AI

Sobot AI Achieves 90%+ Accuracy in Customer Service


Sobot AI Achieves 90%+ Accuracy in Customer Service
  • by: Source Logo
  • |
  • September 17, 2025

Sobot AI has achieved over 90% response accuracy and 88% independent resolution in recent tests, leveraging Generative AI and Multi-Faceted AI to deliver human-like customer service solutions across industries.

Quick Intel

  • Sobot AI achieves over 90% response accuracy in customer service.

  • Combines Generative AI with RAG and LLMs for precise, human-like answers.

  • Introduces SLMs for industry-specific tasks like retail order tracking.

  • Multi-Faceted AI includes AI Agent, AI Copilot, and AI Insight components.

  • Enhances customer experience, agent efficiency, and data-driven decisions.

  • Supports multilingual, multi-channel customer service for global businesses.

Sobot AI’s Breakthrough in Customer Service

Sobot, a leading AI customer contact solution provider, has released impressive testing results for its updated Sobot AI, showcasing an average response accuracy rate exceeding 90% and an independent resolution rate of 88%. With participation from over 100 customers, these results highlight Sobot’s innovative approach, combining Generative AI with Multi-Faceted AI to deliver human-quality service. The “Five-AI” system underpins this advancement, focusing on practical, industry-specific applications.

Generative AI for Industry-Specific Accuracy

Sobot’s Generative AI sets itself apart by delivering precise, context-aware responses tailored to specific industries. Unlike traditional rule-based systems, Sobot integrates Retrieval-Augmented Generation (RAG) with advanced large language models (LLMs) such as Claude, OpenAI, and Amazon Bedrock. Innovations like intelligent chunking, precise retrieval, and enhanced generation ensure accurate, fluent, and professional responses, minimizing LLM hallucination and aligning with brand-specific tones.

Small Language Models for Targeted Solutions

To further enhance accuracy, Sobot employs Small Language Models (SLMs) designed for specific industries and tasks. “SLMs are designed for solving specific problems in various industries. Take retail and ecommerce industry as an example, our SLMs support businesses with common scenarios like order tracking, product recommendations, returns, refunds and more,” said Yi Xu, CEO of Sobot. These SLMs make Sobot AI highly targeted, delivering practical solutions for real-world business needs.

Multi-Faceted AI for Diverse Roles

Sobot’s Multi-Faceted AI comprises three components: AI Agent, AI Copilot, and AI Insight, each tailored to different user roles. The AI Agent delivers fast, human-like services across channels like chat, voice, and social media, with customizable tones and multilingual support. AI Copilot assists human agents with conversation summaries, ticket filling, and content polishing, enhancing efficiency without replacing human expertise. AI Insight empowers administrators with a comprehensive dashboard, consolidating over 300 performance indicators for data-driven decision-making.

Sobot’s integrated approach redefines customer service by combining cutting-edge AI with practical applications. “Sobot AI is not just the stacking of functions, but the deep integration with applications and users. That’s where we stand out,” said Xu. This strategy positions Sobot as a leader in intelligent, user-centric customer contact solutions, driving efficiency and excellence across global businesses.

About Sobot

Sobot is an innovative AI customer contact solution provider, delivering human-quality service through advanced Generative AI and Multi-Faceted AI technologies. Its solutions empower businesses across industries with precise, efficient, and scalable customer service tools.

  • AI Customer ServiceGenerative AICustomer ExperienceAI Agent
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