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15 articles

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Apr 6, 2026 · Backend Development

Build a Production-Ready High-Concurrency AI Customer Service with Spring Boot 3, Spring AI & DeepSeek

This article walks through the complete engineering practice of turning a simple Spring Boot demo into a production‑grade, high‑concurrency intelligent customer‑service system by integrating Spring AI, DeepSeek, RAG, Redis, Kafka, resilience patterns, monitoring, and Kubernetes deployment.

Intelligent Customer ServiceKubernetesRAG

0 likes · 38 min read

Build a Production-Ready High-Concurrency AI Customer Service with Spring Boot 3, Spring AI & DeepSeek

PMTalk Product Manager Community

Feb 13, 2026 · Artificial Intelligence

From Zero to One: Building a Deployable RAG System for Intelligent Customer Service

This article walks product managers through the end‑to‑end design of a Retrieval‑Augmented Generation (RAG) intelligent‑customer‑service system, covering business value, knowledge‑base preparation, hybrid retrieval, prompt‑driven generation, deployment choices, monitoring metrics, and common methodological pitfalls.

AI ArchitectureIntelligent Customer ServiceKnowledge Retrieval

0 likes · 11 min read

From Zero to One: Building a Deployable RAG System for Intelligent Customer Service

Fighter's World

Sep 24, 2025 · Artificial Intelligence

Aivis: Pioneering Autonomous Agents for Alibaba Cloud’s Next‑Gen Intelligent Services

The talk outlines how Alibaba Cloud’s Aivis autonomous service agent tackles the “impossible triangle” of ultra‑high experience, low cost, and complex services by evolving from tool‑based chatbots to teammate‑level agents, detailing a four‑layer architecture, domain‑model training, and actionable steps for enterprise AI service transformation.

AI AgentAgent ArchitectureCloud Service

0 likes · 14 min read

Aivis: Pioneering Autonomous Agents for Alibaba Cloud’s Next‑Gen Intelligent Services

Bilibili Tech

Jan 16, 2024 · Artificial Intelligence

Design and Implementation of Bilibili's Intelligent Customer Service System

Bilibili created an AI‑powered customer‑service platform that integrates a WeChat Work chat UI, a conversation state machine, Elasticsearch and LLM‑based FAQ retrieval, and a low‑code admin console, replacing a thousand‑person manual support team, handling thousands of queries, boosting resolution rates and enabling cross‑team reuse.

ChatbotElasticsearchIntelligent Customer Service

0 likes · 13 min read

Design and Implementation of Bilibili's Intelligent Customer Service System

Zhuanzhuan Tech

Oct 11, 2023 · Artificial Intelligence

Building a ChatGPT‑Based Intelligent Customer Service System with BERT Classification and Knowledge Filtering

This article describes how to construct an intelligent customer‑service assistant using ChatGPT for natural‑language understanding, BERT for user‑question classification, and Sentence‑BERT for knowledge‑selection, detailing system architecture, prompt design, model training, performance results, and practical cost reductions.

BERTChatGPTIntelligent Customer Service

0 likes · 16 min read

Building a ChatGPT‑Based Intelligent Customer Service System with BERT Classification and Knowledge Filtering

Airbnb Technology Team

Jul 13, 2022 · Product Management

User Segmentation and Journey Mapping for Intelligent Customer Service: Insights for Positive and Negative Explorers

The article examines intelligent customer‑service user segmentation into positive and negative explorers, maps their three‑stage journey—information discovery, focused problem solving, and escalation—and proposes design guidelines and tailored product strategies, such as clearer UI, precise suggestions, and rapid human‑hand‑off, to improve satisfaction.

Intelligent Customer ServiceProduct DesignUser Research

0 likes · 7 min read

User Segmentation and Journey Mapping for Intelligent Customer Service: Insights for Positive and Negative Explorers

Airbnb Technology Team

Jul 4, 2022 · Artificial Intelligence

Intelligent Customer Service Product: Overview, History, Architecture, and Future Trends

The article outlines the evolution, architecture, and core value of intelligent customer service systems—detailing their GUI‑based chatbot interface, triage and dialogue modes, knowledge‑base management, and operator benefits—while highlighting future trends such as richer human‑like interactions, 5G‑enabled channels, and continuous feedback‑driven improvement.

ChatbotIntelligent Customer ServiceNLP

0 likes · 12 min read

Intelligent Customer Service Product: Overview, History, Architecture, and Future Trends

DataFunSummit

Jun 6, 2022 · Artificial Intelligence

Event Graphs in Intelligent Customer Service: Concepts, Applications, and System Architecture

This article introduces event graphs as a knowledge‑centric representation of dynamic events, explains their construction and real‑time processing in Meituan's intelligent customer service, and demonstrates applications such as event timeline extraction, hotspot detection, event prediction, multi‑turn dialogue guidance, and business decision support.

Event SchemaIntelligent Customer ServiceReal-time Processing

0 likes · 16 min read

Event Graphs in Intelligent Customer Service: Concepts, Applications, and System Architecture

Meituan Technology Team

Sep 30, 2021 · Artificial Intelligence

Meituan's Intelligent Customer Service Technology and Practice

Meituan’s intelligent customer service platform, serving over 630 million users and 7.7 million merchants, integrates six core AI capabilities—including problem recommendation, understanding, dialogue management, answer supply, response recommendation, and session summarization—across pre‑sale, in‑sale, after‑sale and internal scenarios, leveraging multi‑turn dialogue, intent recognition, knowledge‑graph Q&A, and the Moses platform, while targeting future end‑to‑end and emotionally intelligent interactions.

BERTDialogue SystemsIntelligent Customer Service

0 likes · 23 min read

Meituan's Intelligent Customer Service Technology and Practice

DataFunTalk

Sep 2, 2021 · Artificial Intelligence

Meituan Intelligent Customer Service: Technical Practices and Core Technologies

This article presents Meituan's intelligent customer service practice, covering background, six core AI capabilities such as problem recommendation, understanding, dialogue management, answer supply, script recommendation, and conversation summarization, as well as the Moses dialogue platform and future research directions.

Dialogue SystemsIntelligent Customer Serviceai

0 likes · 22 min read

Meituan Intelligent Customer Service: Technical Practices and Core Technologies

DataFunTalk

Jun 1, 2020 · Artificial Intelligence

Emotion Analysis Techniques in Alibaba's Intelligent Customer Service System

This article presents a comprehensive overview of emotion analysis technologies employed in Alibaba's intelligent customer service platform, detailing models for user emotion detection, emotional response generation, service quality inspection, satisfaction prediction, and intelligent human‑agent handoff, along with experimental results and future research directions.

AI modelsDialogue SystemsIntelligent Customer Service

0 likes · 40 min read

Emotion Analysis Techniques in Alibaba's Intelligent Customer Service System

Alibaba Cloud Developer

May 19, 2020 · Artificial Intelligence

How Emotion Analysis Boosts Intelligent Customer Service: Models, Experiments, and Insights

This article examines how emotion analysis techniques are integrated into intelligent customer‑service systems, detailing architecture, multi‑level semantic models, offline and online comfort frameworks, generative dialogue models, service‑quality inspection, and conversation‑satisfaction prediction, all supported by extensive experiments and real‑world data.

Dialogue SystemsIntelligent Customer Serviceemotion analysis

0 likes · 20 min read

How Emotion Analysis Boosts Intelligent Customer Service: Models, Experiments, and Insights

Qunar Tech Salon

Oct 10, 2019 · Artificial Intelligence

Intelligent Customer Service System for Airline Ticket Business: Architecture, Data Analysis, and AI Techniques

This article describes the design and implementation of an AI‑powered intelligent customer service system for airline ticket operations, covering data‑driven problem analysis, dialogue architecture, intent recognition using BERT and fastText, knowledge‑base QA, and future development plans.

BERTIntelligent Customer Serviceai

0 likes · 11 min read

Intelligent Customer Service System for Airline Ticket Business: Architecture, Data Analysis, and AI Techniques

DataFunTalk

Aug 30, 2019 · Artificial Intelligence

Knowledge Structuring for Intelligent Customer Service Upgrade: Alibaba's Knowledge Graph QA Approach

This report explains how Alibaba uses knowledge graph construction, semantic parsing, and structured answer generation to overcome knowledge management and language understanding challenges in next‑generation intelligent customer service, delivering efficient reuse, precise comprehension, and fine‑grained management of knowledge.

Intelligent Customer Serviceaiknowledge graph

0 likes · 17 min read

Knowledge Structuring for Intelligent Customer Service Upgrade: Alibaba's Knowledge Graph QA Approach

58 Tech

Feb 22, 2019 · Artificial Intelligence

Algorithm Evolution and Implementation of 58.com Intelligent QABot for Business Consultation

The article details the design and iterative improvement of 58.com’s intelligent QABot, covering knowledge‑base construction, feature engineering, three generations of classification models—including FastText, Bi‑LSTM, and deep semantic matching—and evaluation metrics that achieve high accuracy and automation rates.

Deep LearningIntelligent Customer ServiceKnowledge Base

0 likes · 12 min read

Algorithm Evolution and Implementation of 58.com Intelligent QABot for Business Consultation