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1055 articles
This tutorial focuses on a single strategy: syncing Jushuitan non-Qimen after-sales orders into Kingdee Cloud Starry Sky sales returns. Built on the Qeasy data integration platform, it walks through the business context, field mapping, platform configuration, phased scheduling, and lessons learned for an on-premise retail-to-finance integration scenario.
This guide explains how to build a sales-return sync pipeline from Jushuitan (non-Qimen channel) to an ERP, covering order retrieval, header/body split, code mapping, and incremental vs. full scheduling on the Qeasy integration platform.
After long-term operation of an integration platform, queues and logs keep growing, slowing queries and filling up disk space. This article focuses on the strategy "Cleanup of queues and logs older than three months", covering scenario value, data flow, configuration on Qeasy, phased scheduling, and lessons learned from real-world rollouts.
This tutorial focuses on the single 'Query Wangdiantong Goods' strategy, detailing the complete flow of pulling goods data from the source system by incremental time windows and landing it in the intermediate layer through the Qeasy Data Integration Platform. It covers field mapping, schedule design, phased implementation, and typical pitfalls, providing an enterprise IT team with a reusable landing reference.
This tutorial focuses on a single strategy: syncing sales orders from Kingdee Cloud to Feishu Bitable. It covers data flow, field mapping, Qeasy configuration, phased scheduling, and lessons learned.
This article focuses on a single strategy—querying Kingdee employees—and explains its business motivation, field mapping, Qeasy configuration essentials, and typical pitfalls. It does not push business documents itself, but provides the personnel primary key for all subsequent document sync, making it a frequently overlooked yet essential link in supply chain integration.
From the perspective of the Qeasy data integration platform, this tutorial systematically breaks down the field mapping, incremental strategy, and multi-organization filtering essentials of the Kingdee Cloud ExecuteBillQuery interface for department master data (BD_Department) query scenarios, covering cross-customer practical experience and typical pitfalls to help integration engineers quickly implement Kingdee–DingTalk organization synchronization solutions.
PayPal 的对账难点不在「订单收款怎么识别」，而在「**订单收款层（25+ 货币钱包）+ 提现结算层（USD/CNY 兑换）+ 银行入账层（外币→人民币入账）**」三层叠加的**双汇率损失**。一笔 USD 100 收款最终到账人民币可能比直接按央行中间价折算少 4-6 元——其中 2.5-3.5 元是 PayPal 报价汇率的隐藏加价，1.0-1.5 元是银行结汇点差，0.5-1.0 元是提现手续费折算。本文用 6 张图把 25+ 货币钱包分流、3 段汇率链路、6 类提现手续费率、5 步实战清单讲透——给独立站财务一份「25+ 货币 × 双汇率 × 4 类提现通道」的对账地图。
退款对账的「合规」不在判定（那是业务视角），而在红冲——把已经确认的收入、已经抵扣的进项税、已经结转的成本，按 3 类退款的不同形态精确冲销。仅退款的本质是「收支互抵」，商家不能申请红字专票，但要做进项税转出与企业所得税资产损失扣除；极速退款的本质是「钱已先退、货待收回」，红字发票由商家主动申请、并确认预计负债；FBA 退款的本质是「跨境三段链路」，VAT 数字报告下进项税必须当月转出。3 类场景的红冲规则差异是 2025-2026 年电商合规稽查预警命中最高的三类情形——不是「金额算错」而是「红字发票开错、进项税没转、退货准备没计提」。这篇文章把 3 类退款的红冲规则拆成「法规依据 × 增值税处理 × 所得税处理 × 凭证模板 × 申报节点 × 审计证据链」6 个维度，给到一份能直接落到对账系统、合规过关的红冲手册——不是营销话术，是 2026 年金税四期 + VAT 数字报告双轨下的实操手册。
作为电商企业的 CFO / 财务总监，你不需要像财务经理那样「一步一步操作对账」，但你必须像「驾驶舱机长」一样——任何时候都能回答 5 个问题：①「**这个月账对到哪了**」②「**有没有异常告警**」③「**报表数据准不准**」④「**这数据能不能支撑战略决策**」⑤「**风险在哪、合规能不能过**」。本文把这 5 件事拆成 5 大常用操作，每步配真实截图与 B 级干货，让你从「靠下属汇报」升级到「打开系统自己就能看」。
2026 年 8 月,某年 GMV 11 亿、覆盖 5 大平台 13 个店铺的家居电商 CTO 老张,被 CFO 一句话问得哑口无言——**"我们的 AI 知识库到底答对了几条?你怎么知道?"** 老张翻了 3 小时,只找到一份"上线时跑过 92.8% 命中率"的旧报告,**那是 56 天前上线时的数**。**真正的元凶不是"AI 不够聪明",而是"AI 知识质量不可观测"**——调研 41 家中型电商团队,**已经部署 AI 助手的 27 家中只有 6 家(22.2%) 能实时回答"过去 24 小时 AI 知识库的检索质量分是多少",其余 21 家"上线时跑过金标集,之后从未回归"**[来源:2026 年 9 月电商财务"AI 知识质量可观测性"调研,覆盖 41 家中型电商团队]。本文从 KnowledgeQueryLog 表结构、LlmEvaluator 异步 1-5 分机制、fire-and-forget 热路径零阻塞、3 类内容洞 + 3 类切分洞定位、CLI `knowledge:eval` 回放回归、CFO + CTO 视角的 3 个 ROI,把这套"AI 知识质量"工程打
第一次把京东 POP 账户流水账单上传到对账系统，应该按什么顺序点哪几个按钮？本文用「7 步 + 1 张 5 分钟沙箱试跑 Checklist」带你走完整张账单从京东后台导出 → 系统上传 → 异步解析 → 异常处理 → 沙箱试跑的全流程。全文不写代码、不灌架构图——只讲一个新用户首张账单会用到的按钮和背后那 3 个「不点就会踩坑」的隐性知识。读完这篇，你就能把一份 220 行、GB18030 编码、6 行汇总区、7 行表头的京东账户流水完整导入系统、解析成业务订单号 + 核算项目 + 带符号净额。
As an integration platform runs over time, queues and logs accumulate. This article focuses on Qeasy's DeleteExceptData WebAPI, explaining how to schedule cleanup of data older than three days, covering the source/target request structures, crontab orchestration, and common pitfalls from real projects.
This tutorial focuses on writing back the delivered status of sales outbound orders from MySQL (WMS) to Kingdee Cloud (ERP). It covers field mapping, batchSave partial update, incremental scheduling, and common pitfalls, serving as a hands-on guide for on-premise teams.
This article focuses on a single sales outbound order sync strategy, covering scenario pain points, field mapping, Qeasy configuration essentials, phased scheduling, and lessons learned. Written for engineers working on supply chain integration, with clear boundaries at the end.
This tutorial focuses on a single strategy—offline return & exchange query to sales return order sync. It walks through pulling settled retail returns incrementally and writing them into the back-office ERP as sales return orders, covering scenario value, field mapping, Qeasy configuration, phased scheduling, and common pitfalls.
Focus on the sync chain of after-sales return documents from the e-commerce ERP to the financial ERP. Around the incremental time window, code mapping, rejection status filtering and target document type selection, this article gives reproducible implementation steps and a pitfall list.
This tutorial focuses on a single material master data sync strategy. Starting from real business pain points, it walks through incremental source queries, cross-strategy lookups via _mongoQuery, idCheck upsert logic, and centralized mapping management on the Qeasy integration platform, with five hard-earned lessons from the field.
This article takes the single strategy 'production order new reject sync' as the entry point and reviews the end-to-end design of triggering a revoke from Weaver OA back to Kingdee Cloud after rejection. It covers data flow, field mapping, key Qeasy configuration points, phased scheduling, and lessons learned, applicable to private-deployment supply chain integration scenarios.
This article walks through a real-world material master sync scenario: using the Qeasy data integration platform to pull material data from Kingdee Cloud on a scheduled basis into the integration layer, forming the data foundation for downstream writes into a CRM system. It covers the source query API, field mapping, scheduling configuration, common pitfalls, and scope boundaries.
