Customer Service

Efficient Ops

Mar 16, 2025 · Artificial Intelligence

How AI Digital Humans Transform Banking Services: Architecture, Capabilities, and Use Cases

This article explains how AI-powered digital humans can modernize banking by offering modular, multi‑modal interaction, personalized multilingual service, 24‑hour availability, and risk‑aware automation, while detailing the underlying AI foundation, decision engine, visual rendering, and deployment strategies.

AICustomer ServiceDigital Human

0 likes · 7 min read

How AI Digital Humans Transform Banking Services: Architecture, Capabilities, and Use Cases

Bilibili Tech

Nov 19, 2024 · Backend Development

Evolution and Design of Bilibili Customer Service Seat Scheduling System

The article traces Bilibili’s customer‑service seat scheduling system from its initial balanced‑distribution algorithm and Redis‑based priority queues for live chat and ticket handling, through fairness‑focused saturation limits and virtual‑queue mechanisms, to planned dynamic tuning and expertise‑aware routing for future scalability.

Customer ServiceLoad BalancingRedis

0 likes · 23 min read

Evolution and Design of Bilibili Customer Service Seat Scheduling System

Alibaba Cloud Infrastructure

Oct 28, 2024 · Artificial Intelligence

How AI Is Redefining the Enterprise CIO Role – Insights from Alibaba Cloud’s CIO

In a detailed interview, Alibaba Cloud’s CIO Jiang Linquan discusses how rapid AI advancements—from large language models to multimodal and reasoning systems—are reshaping CIO responsibilities, accelerating enterprise information system intelligence, and driving new strategies for knowledge bases, customer service, and cross‑departmental adoption.

AICIOCustomer Service

0 likes · 14 min read

How AI Is Redefining the Enterprise CIO Role – Insights from Alibaba Cloud’s CIO

大转转FE

Oct 18, 2024 · Frontend Development

Design and Implementation of ZhiZhu Customer Service Workbench

This article explains the architecture and key features of ZhiZhu's customer service workbench, covering the overall system, the iframe‑based IM communication, multi‑tab third‑screen design, conversation caching with LRU, and full‑event tracking implementation using React, Umi and Ant Design.

Ant DesignCustomer ServiceReact

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Design and Implementation of ZhiZhu Customer Service Workbench

JD Retail Technology

Aug 28, 2023 · Operations

RPA‑Powered Intelligent Customer Service on Enterprise WeChat for 618 Promotion

This article describes how a rapidly growing e‑commerce business used RPA combined with an intelligent Q&A system to automate 24/7 customer service on Enterprise WeChat, addressing resource limits, repeated queries, and large‑scale promotion spikes while preserving merchants' existing communication habits.

Customer ServiceIntelligent ChatbotRPA

0 likes · 6 min read

RPA‑Powered Intelligent Customer Service on Enterprise WeChat for 618 Promotion

Architect

Aug 17, 2023 · Backend Development

Design and Implementation of Bilibili's New Customer Service System

This article details Bilibili's transition from a purchased customer‑service platform to a self‑developed system, describing the background, architectural design, core modules such as intelligent QA, seat scheduling, workbench, permission management, the use of Faiss for vector search, and future explorations with large language models, highlighting the technical challenges and solutions across backend development and AI integration.

AICustomer ServiceVector Search

0 likes · 22 min read

Design and Implementation of Bilibili's New Customer Service System

HelloTech

Jun 21, 2023 · Artificial Intelligence

Overview of Haro Intelligent Customer Service: Algorithms, Challenges, and AI Solutions

Haro’s intelligent customer service combines a smart FAQ recommender and a conversational chatbot that leverages matching‑based intent recognition, large‑scale domain pre‑training, metric‑learning for new intents, and fine‑tuned generative LLMs, achieving 82 % top‑1 accuracy while reducing human workload and outlining future API‑orchestrated, multimodal AI enhancements.

AICustomer ServiceNLP

0 likes · 10 min read

Overview of Haro Intelligent Customer Service: Algorithms, Challenges, and AI Solutions

DeWu Technology

May 24, 2023 · Frontend Development

Performance Optimization and Architecture Refactoring of DeWu Customer Service Ticket Frontend

The DeWu customer service ticket frontend was re‑architected by aggregating APIs, splitting fast and slow interfaces, adopting Module Federation, implementing a single‑instance design and schema‑driven dynamic rendering, which cut render times from seconds to sub‑second, reduced memory usage, eliminated TypeScript bugs and boosted 客服 satisfaction to 80 %.

Customer Servicearchitecturecaching

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Performance Optimization and Architecture Refactoring of DeWu Customer Service Ticket Frontend

Architects Research Society

May 3, 2023 · Fundamentals

Data Flow Diagram (DFD) Example for a Customer Service System

This article explains the purpose and structure of Data Flow Diagrams (DFDs), illustrates a hierarchical DFD for a railway customer service system with context, level‑1 processes, and data stores, and offers practical tips on labeling, hierarchy, and common pitfalls in DFD modeling.

Customer ServiceDFDData Flow Diagram

0 likes · 9 min read

Data Flow Diagram (DFD) Example for a Customer Service System

Qunar Tech Salon

Mar 31, 2023 · Mobile Development

Design and Implementation of a Cross‑Platform Network Phone Service for an Online Travel Platform

This article details the motivation, architecture, and iterative development of a network‑phone solution that combines native and React Native components for mobile apps and a WebRTC‑based web client, aiming to improve customer‑service efficiency, reduce costs, and enhance user experience across multiple channels.

Customer ServiceReact NativeWeb Integration

0 likes · 14 min read

Design and Implementation of a Cross‑Platform Network Phone Service for an Online Travel Platform

Architecture Digest

Feb 21, 2023 · Backend Development

Design and Architecture of a High‑Performance Customer Service System for Good Installment Business

The article presents a comprehensive technical design of a call‑center‑oriented customer service platform, covering business and technical architecture, a visual workflow engine, communication component decomposition, high‑availability strategies, and future plans for a unified telephony middle‑platform, aiming to improve first‑call resolution, system stability under traffic peaks, and overall user satisfaction.

Customer ServiceHigh AvailabilityWorkflow Engine

0 likes · 15 min read

Design and Architecture of a High‑Performance Customer Service System for Good Installment Business

DataFunTalk

Nov 8, 2022 · Artificial Intelligence

Retrieval-Based Dialogue System Framework for Customer Service: Architecture, Retrieval, Ranking, and Practical Applications

This article presents a comprehensive retrieval‑based dialogue system designed to assist customer‑service agents by recommending candidate replies, detailing its five‑layer architecture, metric suite, text and vector retrieval modules, ranking strategies, and real‑world deployment results across multiple business scenarios.

AICustomer ServiceNatural Language Processing

0 likes · 34 min read

Retrieval-Based Dialogue System Framework for Customer Service: Architecture, Retrieval, Ranking, and Practical Applications

DeWu Technology

Jul 4, 2022 · Frontend Development

DeWu Customer Service Hotline: Architecture, Features, and Technical Implementation

DeWu’s new 400‑number customer service hotline augments its IM chat with a call‑handling console, using the Helly SDK, module‑federated components, finance‑data iframes, and IVR verification that cuts average call time by 12.5 seconds, while a state store improves performance, delivering 6.2 % of traffic as verified calls and paving the way for an upgraded telephony SDK, expanded self‑service IVR, more data panels, and configurable routing rules.

Customer ServiceIVRSDK integration

0 likes · 11 min read

DeWu Customer Service Hotline: Architecture, Features, and Technical Implementation

DeWu Technology

Jun 29, 2022 · Backend Development

Architecture and Routing Rules of an Online Customer Service System

The article describes an online customer service platform that guides users from robot chat to human agents and satisfaction rating, detailing its visitor‑side interfaces, multi‑console backend architecture, service‑hour schedules, channel‑based routing, queue‑overflow handling, reliable IM messaging with retry logic, SOP knowledge‑base assistance, and session‑termination policies.

Customer ServiceIM systemReal-time Monitoring

0 likes · 9 min read

Architecture and Routing Rules of an Online Customer Service System

58 Tech

Jun 24, 2022 · Artificial Intelligence

Reinforcement Learning for Lead Generation in Task‑Oriented Dialogue Systems

This article presents a reinforcement‑learning‑based approach to improve lead‑capture efficiency of a task‑oriented chatbot used in local services, detailing the system architecture, RL algorithms (DQN/DDQN), data construction, model training, offline and online evaluation, and the resulting commercial gains.

ChatbotCustomer ServiceDQN

0 likes · 27 min read

Reinforcement Learning for Lead Generation in Task‑Oriented Dialogue Systems

Ctrip Technology

Dec 30, 2021 · Artificial Intelligence

Semantic Matching Techniques for Intelligent Customer Service at Ctrip

This article presents Ctrip's intelligent customer service system, detailing the evolution of semantic matching methods from traditional lexical models to deep learning approaches such as BERT and ESIM, and describing multi‑stage retrieval, multilingual transfer learning, and KBQA techniques for improving query understanding and response accuracy.

BERTCustomer ServiceNLP

0 likes · 16 min read

Semantic Matching Techniques for Intelligent Customer Service at Ctrip

58 Tech

Nov 16, 2021 · Artificial Intelligence

Deep Optimization of the 58 Yellow Pages Smart Chat Assistant for Enhanced User Experience and Business Opportunity Conversion

This article details the development and continuous optimization of 58.com’s Yellow Pages smart chat assistant, covering background, metrics, model improvements for QABot and TaskBot, slot extraction, quality assessment, and future directions, resulting in near‑human conversion rates and significant operational savings.

AIBusiness OpportunityChatbot

0 likes · 22 min read

Deep Optimization of the 58 Yellow Pages Smart Chat Assistant for Enhanced User Experience and Business Opportunity Conversion

Ctrip Technology

Aug 26, 2021 · Artificial Intelligence

Applying Snorkel Weak Supervision to Automate Event Summaries in Ctrip Customer Service

The article explains how Ctrip’s hotel customer‑service team uses the Snorkel weak‑supervision framework to generate large‑scale labeled data for training models that automatically produce structured event summaries, detailing the workflow, labeling functions, generative and discriminative model training, and performance improvements.

Customer ServiceLabeling FunctionsNLP

0 likes · 14 min read

Applying Snorkel Weak Supervision to Automate Event Summaries in Ctrip Customer Service

58 Tech

Jan 27, 2021 · Artificial Intelligence

Model Iteration and Architecture of the BangBang Intelligent Customer Service QABot

This article details the BangBang intelligent customer service system's overall architecture, core capabilities, knowledge‑base construction, and successive model upgrades—from FastText to TextCNN, Bi‑LSTM, and model fusion—showing how each iteration improved accuracy, recall, and F1 scores toward a stable 95% performance level.

AICustomer ServiceLSTM

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Model Iteration and Architecture of the BangBang Intelligent Customer Service QABot

Didi Tech

Oct 22, 2020 · Artificial Intelligence

Multi-turn Response Triggering Model (MRTM) for Intelligent Customer Service Chatbots

The article reviews Didi’s research on a Multi‑turn Response Triggering Model (MRTM) that uses self‑supervised learning and asymmetric self‑attention to decide when a customer‑service chatbot should reply, achieving higher accuracy and recall than rule‑based and supervised baselines while remaining efficient enough for production deployment.

AIChatbotCustomer Service

0 likes · 12 min read

Multi-turn Response Triggering Model (MRTM) for Intelligent Customer Service Chatbots