Intelligent customer service

Intelligent customer service

Convenient and seamless integration, accurate semantic understanding of large models, and new experience of intelligent and efficient customer service

Through natural language processing, private industry knowledge base and AI intelligent body and other large model technology applications, for intelligent customer service robots to inject strong language processing capabilities and enterprise service expansion capabilities, improve the quality and efficiency of internal and external services, so that customer service work more efficient and intelligent.

Industry pain points

Focus on industry pain points, targeted to solve the needs of enterprises

Limited semantic understanding

Limited semantic understanding

Lack of logical judgment and reasoning ability; The ability to understand omission and reference is general; Unable to "memorize" pre-dialogue content across knowledge engines
High mechanical degree of man-machine dialogue

High mechanical degree of man-machine dialogue

The answer is fixed, not direct and clear enough, the dialogue process is rigid, and a certain framework/structure needs to be followed.
High cost of knowledge base construction

High cost of knowledge base construction

Knowledge base construction has document format restrictions, long construction cycle, high cost, user questions and standard answers rely on human combing error-prone and time-consuming.

Feature Highlights and Value

Comprehensive product functions, comprehensive digital management of business processes

  • On-demand real-time efficient intelligent scheduling, providing accurate and efficient customer service

     

    Through real-time collection and analysis of various data in the customer service process, accurate and efficient scheduling management of the whole process ensures that the customer service team can quickly respond to customer needs and provide personalized service experience.

     

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  • After-sales service integrated customer service workbench and performance appraisal analysis to improve the operational efficiency and value of customer service personnel

     

    The customer service workbench integrates after-sales integrated service capabilities including session answering, customer portrait inquiry, customer service group chat, artificial customer service intelligent assistant, automatic work order processing and real-time data analysis, effectively improving the response speed and work efficiency of the customer service team. At the same time, perfect customer service performance appraisal helps enterprises to achieve efficient customer service team management.

     

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  • Deep integration of enterprise private data APIs to expand the business application boundaries of AI and create new heights of value.

     

    Intelligent customer service supports application expansion, can access various application APIs of enterprise private data, securely access enterprise private data, and provide more AI intelligent application scenarios.

     

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  • Integration of large models and industry knowledge bases to build self-training and iterative capabilities

     

    It integrates many large model capabilities at home and abroad, efficiently and conveniently builds industry knowledge bases for different purposes, and at the same time conducts self-training learning and knowledge base iteration according to the content of daily conversations, so as to achieve self-evolution of AI customer service gradually replacing manual customer service answers to similar questions.

     

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Product advantages

Innovative supply chain products with both functions and services

Industry deep cultivation & customized
• Seamless integration: deep integration with business systems Personalized service portal: penetrate the business link to expand AI applications, opening up a broader imagination space. Understand the industry, more professional: continue to optimize the industry customer service knowledge base, deepen the vertical process of customer service
Cross-platform & Multi-channel & Internationalization
• Cross-platform: to achieve multi-platform technology interoperability Multi-channel: official website, APP, public number and other channels to realize unified management of the whole process of customer service • Internationalization: support multi-lingual seamless access at any time, switching
Introduction of intelligent technology
Natural language processing technology: human-computer dialogue is more intelligent, more personified Machine learning: introduce machine learning to realize self-iteration and learning, and improve customer service quality and efficiency AI intelligence: AI technology realizes low-cost and efficient control of knowledge base and private domain data.

Customer Case

Practical in the field of supply chain digitalization, customer success-oriented practitioner