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This article focuses on a single strategy—DingTalk Ops Bot (Detail)—and explains how to use the Qeasy data integration platform to pull recent error details from multiple integration strategies on a 20–30 minute cadence and push them into an ops group via a DingTalk custom robot, covering scenarios, field mapping, configuration, phased rollout, and common pitfalls.
This article walks through a concrete sales order sync strategy: pulling confirmed outbound orders from Jushuitan, mapping them through the Qeasy data integration platform, and writing them into Kingdee Cloud Skylink. It covers data flow, field mapping, scheduling design, and lessons learned for supply chain integration engineers.
This article takes the single strategy "Fund Account Sync" as its main thread, breaking down how to wire the source system's fund list query API to the target system's document write API. It explains how Qeasy uses an incremental time-window plus scheduled tasks to achieve near-real-time sync, and recaps three common pitfalls: code mapping, deduplication, and time boundaries.
This tutorial drills into one concrete strategy: syncing sales delivery orders from Kingdee Cloud to Jushuitan's other-outbound orders. It walks through the business scenario, data flow, configuration points on the Qeasy platform, scheduling rhythm, and common pitfalls, suitable for on-premise supply chain integration projects.
Business Data Modeling (Response Data Strict Mode) is used to standardize the data types of API request parameters. Once enabled, Qeasy DataHub enforces strict type validation (integer, float, boolean, etc.). When disabled, all request data is treated as string by default. This guide covers its use cases, configuration path, and key considerations.
This tutorial aggregates hands-on experience from multiple supply chain integration projects, focusing on the Kingdee Cloud CN_BANKACNT bank account query interface (executeBillQuery). It covers interface capabilities, field mapping, Qeasy Cloud platform configuration, and pitfall retrospectives, providing integration engineers with a ready-to-use playbook.
This tutorial focuses on a single material master data sync strategy from Kingdee Cloud Stellar Flagship to Xiaoman OKKI CRM, covering data flow, field mapping, key configuration steps on Qeasy platform, phased implementation, and common pitfalls for enterprise IT teams.
Focused on supply-chain integration, this guide explains how to incrementally sync Jushuitan Other Outbound documents to Kingdee Cloud by modified-time windows. It covers field mapping, scheduling, idempotency checks, and common pitfalls, helping enterprise IT teams deploy quickly in public-cloud environments.
电商收入确认时点不是「钱到账那天」——CAS 14（财政部《企业会计准则第 14 号——收入》）给出的是「**商品控制权转移**」的 5 个触发条件：**订单完成 / 发货确认 / 买家签收 / 平台结算 / 退款期结束**。5 个时点对应 5 种会计处理、3 类税务衔接、跨平台口径差异最高达 ±18%。这篇文章把 5 大触发条件拆成「业务判定 → 财务分录 → 税务影响 → 跨平台口径 → 工程化落地」5 段，给 CFO 和税务经理一份可直接执行的「时点决策树」——不是教科书定义，是 2026 年多平台多店场景下的判定手册。
电商企业的"对账"从来不只对"钱"，它同时对"税"。一笔订单的入账，需要同时穿透 6 大税种——增值税 / 企业所得税 / 个人所得税 / 消费税 / 关税 / 印花税——的征税节点、对账节点、申报节点。任何一个税种对账节点错位，对账差异就不只是"账面不平"，而是"申报金额 + 计税基础 + 抵扣链条 + 退税资格"的连锁失真。本文用「1 张总图 + 6 大税种逐条拆解 + 1 套对账节点矩阵 + 1 个落地框架」，把 6 大税种对电商对账的影响一次性说透：让 CFO 在月结前夜能用一张表看穿"账面 - 申报 - 平台代扣 - 海关报关"四张数据是否对得上。
用友 NC Cloud（V5.x / V6.x）是面向大型集团企业（年营收 10 亿 +、组织 2000+）的云原生 PaaS 平台，是用友产品矩阵里**面向「多法人、多组织、多账套、多核算体系」的独立分支**。对账集成从 U8/U8 Cloud 迁到 NC Cloud，最容易踩的三个坑是：① **协议栈显著不同**——NC Cloud API 比 U8 Cloud 的 `/u8c/api/v1/` 多 4 个请求头（`X-Group-Id` / `X-Book-Id` / `X-Org-Id` / `X-Accsys`）；② **多组织 + 多账套 + 多核算体系三层叠加**——典型部署 500-5000 个组织、20-200 个法人账套、4 套核算维度，handler 必须按四级路由；③ **合并报表与对账实现路径必须分离**——合并报表走 4 通道（工作底稿/内部交易抵消/调整分录/出合并表），与「账单 ↔ 供应链」三方核对数据同源但流向不同，运营层与合并层必须切成两段处理。文章用 NC Cloud 与 U8/U8 Cloud 的 5 维对比表，给 CTO/ERP 实施一份协议选
2026 年的电商行业，正在经历一场被监管层、平台、商家同时推动的"反内卷"运动。
CFO 桌上 2026 年最常见的一份文件，不是预算也不是月报，而是一份题为《AI Agent 在财务领域的应用》的内部讨论稿。
This tutorial, based on Kingdee Cloud Skylus material query API (executeBillQuery, BD_MATERIAL), consolidates hands-on experience from multiple customer projects. It covers field mapping, pagination & incremental sync, organization filtering, and license keep-alive mechanisms, helping engineers quickly and reliably implement material master data integration on Qeasy.
This handbook consolidates cross-customer implementation experience, systematically detailing the full-chain integration capabilities between Jushuitan and Kingdee Cloud Skylink, covering typical field mappings, code mapping strategies, and pitfall remedies across 46 core policies from master data to sales outbound.
Focused on a single strategy: incrementally pushing confirmed sales outbound orders (including freight info) from Jushuitan into Kingdee Cloud. Covers pagination, time windows, scheduling cadence, freight field mapping, and how to configure it on the Qeasy platform, with practical pitfalls around code mismatch and missing freight costs.
Based on a real retail enterprise integration scenario, this guide explains how to use Qeasy to query supplier master data from Kingdee Cloud on a scheduled basis, serving as the unified source for downstream write-back or reconciliation in Jushuitan. It covers data flow, field mapping, platform configuration, phased scheduling, and lessons learned.
This article focuses on a single strategy and breaks down the full process of syncing material master data from Kingdee Cloud Cosmos to Jushuitan: from the business motivation, data flow and field mapping, to configuration highlights on the Qeasy integration platform, phased scheduling implementation, and finally a lessons-learned section with scope boundaries — helping enterprise IT teams avoid common pitfalls.
This tutorial walks through a concrete material master data sync strategy from Kingdee Cloud to JKY, covering data flow, field mapping, Qeasy configuration, scheduling and lessons learned. Aimed at supply chain integration engineers.
This tutorial aggregates hands-on experience from multiple real integration projects, systematically explaining the row-by-row query mode of Kingdee Cloud's SAL_OUTSTOCK executeBillQuery interface. It covers authentication, incremental filtering, pagination, 80+ field mappings, integration with Guanyi Cloud, and common pitfalls, giving you a one-stop mastery of the interface.
