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326 articles
京东 POP 店铺月结时，结算资金表和账户流水里躺着十几种费用项——佣金、交易服务费、联盟扣款、先行赔付……它们该进金蝶的哪张单、按什么口径合并、哪些干脆不出单？本文把财务手工 Excel 里的「17 条差异录入规则」逐条拆开：结算资金表 2 项费用应收 + 8 项合并费用应付，账户流水 4 项费用应付 + 2 项费用应收 + 1 条企业站提现收款单，并给出每一条的金额验算、出单粒度和踩坑记录。
电商企业的「利润黑洞」从来不在 GMV 上，而在 5 大成本项的分摊颗粒度上。商品成本、物流成本、平台佣金、广告费、运营成本——每一项都有 3 套分摊维度（按 SKU / 按订单 / 按店铺）、2 套分母口径（净额 / 绝对值）、1 套反直觉规则（推广费退货不冲减分母）。本文按 5 大成本项逐项拆：每项给出「业务口径 + 分摊维度 + 反直觉点 + 落地踩坑」，并用一份 38 店 × 1200 SKU 的真实口径，说明 CFO 月底为什么「账面赚 18%、口袋只有 11%」。
京东 POP 对账完成后，账单上的每一笔订单最终都要落到金蝶。但金蝶不是直接"Save 一张财务应收单"——本账套是暂估模式，财务应收单只能由暂估应收单通过 Push 下推生成。本文讲透这条最容易踩坑的链路：合并出单 v1.7.0 的口径翻转（G1 缺口消解）、推送字段完整性契约、Push 协议本身的硬约束、状态机回写，以及 2026-07 实测的 45 张单如何与手工 Excel 逐分录对平。
已经把京东 POP 账户流水上传到对账系统、解析也跑完了，下一步「对账」应该怎么点？本文用 5 步走完新用户的第一个收入对账计划——从「找到入口」到「整体确认 + 推送转换单据」，每个步骤都对应一个真实的按钮、一段可见的状态变化。读完这篇，你就能把一张 600 单的京东 POP 账户流水从「解析完成」变成「对账成功、推送到金蝶」，并掌握 7 态状态机、23 个 diffReason 业务标签码、整体确认与转换单据的协作方式。
一家年 GMV 14 亿元的多平台电商，2026 年 Q1 利润表净利润 6800 万元，账上现金却只剩 1200 万元——CFO 在 4 月 28 日经营分析会上被问到「利润去哪了」时哑口无言。复盘发现 4 大问题里有 3 个出在「现金流预测」环节。本文给出 4 大流入 + 4 大流出的精细化建模方法论：销售回款 × 退款回收 × 平台返利 × 其他流入 / 采购付款 × 物流费 × 平台扣点 × 税费，每一条都按平台 × 店铺 × 月份 × 周 4 级颗粒度建模。
This tutorial aggregates field-proven experience and systematically explains the practical key points of using the Kingdee Cloud Skyline executeBillQuery interface to query the "Terminal Customer" auxiliary data. It covers field mapping, pagination strategies, audit/enable status filtering, multi-organization scenarios, and pitfall retrospectives, helping engineers quickly complete dictionary master data integration in supply chain projects.
Based on multiple real customer projects on the Qeasy Cloud Data Integration Platform, this tutorial aggregates practical know-how for the Kingdee Cloud Skylight Customer Query interface, covering the executeBillQuery call, full BD_Customer field mapping, filtering and pagination, multi-org and invoicing/payment bank details, plus common pitfalls in customer master data synchronization.
This tutorial aggregates multiple customer implementations to systematically explain the Kingdee YXC warehouse query API (/jdy/v2/bd/store), covering field meanings, pagination/incremental patterns, cross-system mapping, and real-world pitfalls.
作为 CTO，你不必像财务经理那样「一步一步操作对账」，也不必像 SRE 那样「凌晨 3 点盯监控」。但你必须能回答 5 个问题：① 怎么部署上线 ② 怎么看出系统健康度 ③ 性能基线是什么 ④ 安全防御有几道闸 ⑤ AI 知识怎么维护。本文把 5 件事拆成 5 大常用操作，每步配真实架构图与 B 级干货。
This tutorial focuses on Kingdee Cloud's "Auxiliary Data – District" (D01 category) executeBillQuery interface. It aggregates hands-on experience from multiple customer projects, detailing field mapping, paging and filtering, cross-system master data synchronization essentials, and configuration on the Qeasy Cloud Data Integration Platform.
This article systematically organizes the field semantics, request/response structure, and incremental pagination mode of the "Outsourced Order Details (Product)" interface of Do1QQ. Combined with practical experience from multiple real customer projects, it provides pitfall reviews and configuration guidance on the Qeasy platform, enabling engineers to master the synchronization essentials of outsourced order product lines in one read.
This tutorial systematically reviews the Jky erp.storage.goodsdocin.v2 query interface, covering main and detail field mappings, pagination/incremental patterns, and lessons learned from real Jky-to-Kingdee supply chain integration projects.
This tutorial consolidates multiple real customer projects to systematically unpack the 17 strategies for integrating Kingdee Cloud Sky with DingTalk, focusing on field mapping, code lookups, and exception handling for expense requests, reimbursements, and repayment documents. It distills common practices such as hub-first execution, reserve fund offsetting, and department field splitting so engineers can master this integration domain in one read.
This tutorial uses a retail enterprise's MySQL WMS outbound order database to explain how to query order line items with unmaintained material gross weights and push alerts to DingTalk robots. It covers field mapping, incremental queries, three-table joins, filtering conditions, and how the Qeasy data integration platform wraps this interface — a practical guide for integration engineers.
The Jushuitan after-sales order query (non-Qimen channel) is the core path for syncing after-sales data into SQL Server. This guide aggregates insights from multiple real-world projects into a systematic field mapping, pagination & incremental strategy, status enums, and nested items handling, with lessons learned and stable configurations.
大促不是"账单变多"那么简单——是 7 天内涌入平时 30 倍的账单行、3 倍的退单率、5 倍的平台扣点波动。某美妆品牌 2025 年双 11 因准备不足，第 7 天才完成 11 万单的对账，第 15 天才出完月报，错过了 Q4 现金流预测的窗口，被审计师标为"内控薄弱项"。这篇文章不讲促销玩法，给出一份**大促财务核算的作战手册**：3 大准备工作（对账脚本预跑、压测数据、回款预测）+ 5 大对账节点（首日 / 3 日 / 7 日 / 15 日 / 月结），让 CFO 和财务经理把"大促后的财务大崩溃"变成"大促后的财务快报"。
This tutorial aggregates hands-on experience from multiple customer projects to systematically dissect Xiaoman OKKICRM's Product Query interface (API: /v1/product/list), covering field semantics, invocation patterns, and common pitfalls, along with configuration guidance on the Qeasy platform.
This article focuses on the Kingdee warehouse query interface, integrating practical experience from multiple cross-border supply chain integration projects. It systematically covers authentication, request/response structure, typical field mapping, Qeasy configuration, cross-scenario best practices, and common pitfalls, helping data integration engineers master the complete integration path in one read.
This tutorial systematically reviews the Kingdee Cloud executeBillQuery API for the Payment Application form (CN_PAYAPPLY). It covers the full field catalogue, incremental strategy semantics, organization/amount/status groupings, and how Qeasy Cloud's adapter encapsulates the endpoint, distilling cross-project best practices and troubleshooting tips into a single reference.
This guide consolidates hands-on experience from multiple real integration projects on querying Kingdee Cloud's BD_SETTLETYPE via ExecuteBillQuery. It covers API capabilities, field mapping, Qeasy platform configuration, incremental sync strategies, and lessons learned from production pitfalls.
