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Old Zhao – Management Systems Only
Old Zhao – Management Systems Only
May 22, 2025 · Operations

Should Small Companies Use ERP, OA, and CRM? A Practical Selection Guide

Small businesses often struggle with selecting and implementing ERP, OA, and CRM systems, facing issues like over‑complex features, unused modules, and workflow bottlenecks; this article explains why these tools can help, outlines common pitfalls, and offers three core principles for choosing and deploying the right solution effectively.

CRMERPOA
0 likes · 10 min read
Should Small Companies Use ERP, OA, and CRM? A Practical Selection Guide
Old Zhao – Management Systems Only
Old Zhao – Management Systems Only
May 6, 2025 · Operations

How ERP, SCM, and CRM Can Seamlessly Work Together to Boost Business Efficiency

This article explains the distinct roles of ERP, SCM, and CRM, why they often fail to communicate, and provides a step‑by‑step framework—including process mapping, data standardization, system boundary definition, API integration, and operational guidelines—to achieve true system collaboration and improve overall enterprise efficiency.

CRMERPSCM
0 likes · 11 min read
How ERP, SCM, and CRM Can Seamlessly Work Together to Boost Business Efficiency
Old Zhao – Management Systems Only
Old Zhao – Management Systems Only
Apr 27, 2025 · Operations

How to Choose the Right Enterprise Systems for True Digital Transformation

Digitalization is often mistaken for merely buying a stack of software, but true transformation requires selecting the right core systems—OA, CRM, HR, ERP—based on a company’s stage and industry, ensuring streamlined processes, data transparency, cost reduction, and informed decision‑making.

CRMDigital TransformationERP
0 likes · 11 min read
How to Choose the Right Enterprise Systems for True Digital Transformation
DevOps
DevOps
Nov 16, 2023 · Product Management

Thirteen Elements and Five-Step Method for B2B Product Requirement Analysis

This article presents a comprehensive five‑step, thirteen‑element framework for analyzing B2B product requirements, illustrated with a CRM message‑center case study, detailed role analysis, scenario reconstruction, and practical design recommendations for product managers.

B2BCRMUser Research
0 likes · 31 min read
Thirteen Elements and Five-Step Method for B2B Product Requirement Analysis
Zhuanzhuan Tech
Zhuanzhuan Tech
Nov 1, 2023 · Backend Development

Optimizing CRM Opportunity Flow with EasyRule and the Rete Algorithm

This article explains how to improve the efficiency of CRM opportunity handling by introducing rule‑engine concepts, detailing the Rete algorithm, comparing Drools and EasyRule, and providing practical EasyRule integration examples with Java code for backend developers.

CRMEasyRuleRete Algorithm
0 likes · 22 min read
Optimizing CRM Opportunity Flow with EasyRule and the Rete Algorithm
macrozheng
macrozheng
Jan 19, 2023 · Backend Development

Designing a Scalable CRM User Reach Module: Architecture, Performance & Monitoring

This article presents a complete technical design template for a CRM user reach module, detailing project overview, requirements, design goals, architecture choices, detailed process, algorithms, data models, interfaces, risk assessment, testing strategies, and deployment steps to ensure scalability, reliability, and observability.

CRMMessagingbackend
0 likes · 16 min read
Designing a Scalable CRM User Reach Module: Architecture, Performance & Monitoring
Efficient Ops
Efficient Ops
Jan 11, 2023 · Operations

How Guangdong Mobile’s CRM Achieved Leading DevOps Operational Maturity

Guangdong Mobile’s CRM system, supporting over 130 million users, passed the China Information & Communication Research Institute’s DevOps technical‑operation 2+ level assessment, showcasing a landmark achievement in standardized, tool‑enabled DevOps practices that boost quality, safety, and market competitiveness.

CRMContinuous DeliveryStandardization
0 likes · 11 min read
How Guangdong Mobile’s CRM Achieved Leading DevOps Operational Maturity
Laravel Tech Community
Laravel Tech Community
Aug 22, 2021 · Fundamentals

Fundamentals of Information Systems, Service Management, and Software Engineering

This article provides a comprehensive overview of information system fundamentals, covering national information‑technology elements, emerging concepts such as cloud computing and IoT, e‑government models, ERP and CRM basics, service‑management challenges, qualification systems, software development lifecycles, testing methods, architecture patterns, and data‑warehouse concepts.

CRMData WarehouseERP
0 likes · 16 min read
Fundamentals of Information Systems, Service Management, and Software Engineering
58 Tech
58 Tech
Jul 30, 2021 · Artificial Intelligence

Automated Feature Data Push for CRM Intelligent Recommendation: Architecture and Implementation

This article details the end‑to‑end automated feature data pipeline for 58 CRM's intelligent recommendation system, covering background, feature store design on HBase, in‑memory feature calculation using dictionaries and matrices, aggregation storage, and future planning for AI‑driven sales optimization.

AICRMFeature Engineering
0 likes · 14 min read
Automated Feature Data Push for CRM Intelligent Recommendation: Architecture and Implementation
DataFunTalk
DataFunTalk
Jul 17, 2021 · Artificial Intelligence

Multi-Objective Modeling for CRM Opportunity Smart Allocation: Iterative Deep Learning Solutions

This article describes the evolution of a multi‑objective deep‑learning framework for automatically assigning CRM opportunities to salespeople, detailing five model versions—from an XGBoost baseline with sample weighting to advanced PLE‑based architectures—while reporting offline and online performance gains in both call‑out and connection‑out conversion rates.

A/B testingCRMRecommendation systems
0 likes · 33 min read
Multi-Objective Modeling for CRM Opportunity Smart Allocation: Iterative Deep Learning Solutions
58 Tech
58 Tech
Jul 7, 2021 · Artificial Intelligence

Multi‑Objective Modeling for CRM Opportunity Allocation: Iterative Deep Learning Approaches

This article details the development and iterative optimization of multi‑task deep learning models—including XGBoost‑based baselines, MMoE, ESMM‑enhanced MMoE, PLE, and bias‑aware ranking—to simultaneously improve call‑out and connect‑out rates in a CRM opportunity distribution system, presenting offline gains and online deployment results for each version.

CRMdeep learningmodel optimization
0 likes · 33 min read
Multi‑Objective Modeling for CRM Opportunity Allocation: Iterative Deep Learning Approaches
58 Tech
58 Tech
Jun 7, 2021 · Artificial Intelligence

AI‑Driven CRM: Intelligent Opportunity Distribution and Sales Voice Assistant at 58.com

This article details how 58.com’s AI Lab applied machine‑learning, recommendation, search, speech and NLP technologies to transform its CRM system into an intelligent opportunity distribution platform and sales voice assistant, describing the underlying models, the "Michigan" workflow, AB‑testing results and future AI‑driven enhancements.

AB testingAICRM
0 likes · 21 min read
AI‑Driven CRM: Intelligent Opportunity Distribution and Sales Voice Assistant at 58.com
Top Architect
Top Architect
May 15, 2021 · Backend Development

Wukong CRM 9.0 Java Backend Installation and Deployment Guide

This article provides a comprehensive guide to installing and deploying the Wukong CRM 9.0 Java version, detailing its backend stack, required environments, configuration files, Maven dependencies, Undertow/Tomcat deployment options, and front‑end Vue setup, along with QR‑code download instructions.

CRMInstallationJFinal
0 likes · 8 min read
Wukong CRM 9.0 Java Backend Installation and Deployment Guide
58 Tech
58 Tech
Apr 12, 2021 · Artificial Intelligence

AI + CRM and Recommendation Recall & Ranking Practices Presented at ML‑Summit 2021

The ML‑Summit 2021 in Beijing featured two AI‑focused talks—one on applying AI to CRM for boosting enterprise performance and another on systematic recommendation recall and ranking optimization—each presented by senior engineers from 58.com, with detailed abstracts and speaker biographies.

AICRMML‑Summit
0 likes · 5 min read
AI + CRM and Recommendation Recall & Ranking Practices Presented at ML‑Summit 2021
58 Tech
58 Tech
Jan 22, 2021 · Artificial Intelligence

AI + CRM: Improving Enterprise Performance and Efficiency

This article describes how 58.com’s AI Lab integrated machine‑learning and recommendation techniques into its CRM system, redesigning sales workflows, introducing the “Michigan” model, and deploying XGBoost and MMoE models to boost key metrics such as transfer rate and 60‑second effective call rate, achieving significant performance gains.

AICRMPersonalized Search
0 likes · 20 min read
AI + CRM: Improving Enterprise Performance and Efficiency
360 Quality & Efficiency
360 Quality & Efficiency
Mar 12, 2018 · Fundamentals

Practical Experience and Insights on Functional Testing for Complex CRM Systems

This article shares practical experiences and reflections on functional testing for a commercial advertising CRM system, covering demand analysis, test case creation, execution stages, and tips for avoiding missed tests in complex, multi‑subsystem projects.

CRMfunctional testingsoftware QA
0 likes · 10 min read
Practical Experience and Insights on Functional Testing for Complex CRM Systems
Architects' Tech Alliance
Architects' Tech Alliance
Nov 6, 2016 · Fundamentals

Overview of Enterprise Information Systems: CRM, PLM, SCM, ERP, and MES

This article explains the four main types of enterprise assets—customer, knowledge, operational, and tangible—and describes the core information systems CRM, PLM, SCM, ERP, and MES, highlighting their purposes, functionalities, and the differences and relationships among them.

CRMERPMES
0 likes · 13 min read
Overview of Enterprise Information Systems: CRM, PLM, SCM, ERP, and MES