Latest industry insights, tutorials, best practices and case studies.
844 articles
This guide explains how to use Qeasy Data Integration Platform to recursively pull Feishu employee master data by department into the platform data hub, serving as the lookup source for downstream business documents like purchase orders, sales orders, and expense reimbursements. It covers source parameters, field mapping, the write-null operation pattern, and _findCollection/_mongoQuery cross-strategy queries.
Using channel info sync from a reconciliation system as the entry point, this tutorial shows how to configure a single strategy in the Qeasy Data Integration Platform to land JikeCloud channel master data into a MySQL SRM database on an incremental basis. It covers scenario value, field mapping, configuration essentials, scheduling design, and lessons learned, aimed at integration engineers handling supply-chain master data landing.
This tutorial walks through configuring a 'query-only' strategy on the Qeasy Data Integration Platform to periodically pull provincial auxiliary records from Kingdee Cloud. It covers the business scenario, field mapping, platform configuration essentials, phased scheduling, and common pitfalls.
This guide focuses on a single strategy—other inbound orders—covering the full chain from source query, time-window incremental extraction, to target-side field persistence. The focus areas are time windows, status filtering, header/line staged writes, and centralized code mapping management, giving implementation engineers a directly actionable reference.
For multi-entity supply chain integration, a nutrition and health brand connected its marketing cloud with a cloud ERP using 66 strategies, automating master data (customers, materials), sales outbound, purchase inbound, return inbound, transfers, and inventory writeback. The solution is organized into four phases, covering code mapping, incremental and full sync, token refresh, and health checks, and can be implemented on the Qeasy Data Integration Platform.
For supply-chain integration scenarios, this guide explains how to use Qeasy Data Integration Platform to push error and skipped records from specified strategies in the last 24 hours to an O&M group chat via a WeChat Work bot. It covers data flow, field mapping, configuration essentials, and practical lessons learned.
This article focuses on a specific sync strategy—pushing sales orders from JiKeYun into Yongyou NCC as red-letter sales orders (with logistics company) by agent dimension. It walks through scenarios, data flow, field mapping, configuration on Qeasy, phased scheduling, and lessons learned, written for integration engineers working on supply chain scenarios.
This article uses a manufacturing enterprise's production return order synchronization as a case study, breaking down the complete chain: extracting production return data from a MySQL intermediate database, mapping fields through the Qeasy data integration platform, and writing to Kingdee Cloud. It covers data flow, field mapping, platform configuration, scheduling design, and lessons learned.
Stripe 的对账难点不在「charge / refund 怎么识别」，而在「**余额（balance）/ 争议（dispute）/ 储备金（reserve）/ 提现（payout）**」4 套账户各自独立运行、按不同时间窗口结算、对账脚本必须按 `created`（业务发生日）入账而非 `available_on`（资金可用日）入账。本文用 7 张图把 5 类余额活动、5 段争议生命周期、5 条 reserve 释放规则、6 条实操 checklist 讲透——给独立站财务一份「4 账户 × 5 活动 × 5 阶段 × 6 checklist」的完整对账地图。
当月底关账的差异表从 5 天压到 2 天，背后真正的工程支点不是「对账引擎」，而是 23 个差异原因结构化标签码。`diffReason` 给机器读、`diffDisposalSuggestion` 给人读，二者采用**不对称落库语义**——机读码每轮重置确保下游集成脚本精准出单，文本建议保留财务人员手补痕迹不被重跑清空。这套「机读 + 人读」双轨是 v3 对账体系里最容易被忽视、但实际承担 80% 自动化收益的工程支点。
家居大件是和服饰、美妆、3C 并行的"高客单 + 高物流费率 + 多段履约"对账难题行业——服饰物流费率 3-5%、美妆 4-6%、3C 数码 5-8%、食品生鲜 8-12%,**家居大件独有的难题是"送货上楼 + 安装服务 + 退换货大件逆向物流"的复合履约成本分摊——某全屋家居品牌 2026 H1 共发货 87.4 万单、家具订单占比 38.4%、平均客单价 4 287 元、平均物流费率 14.7%、送货上楼占比 71.2%、安装服务占比 28.6%、退货率 11.3%、退货逆向物流费率 32.4%、退货逆向物流成本是正常发货的 2.2 倍** [来源:某全屋家居品牌 2026 H1 物流费运营报告]。**平台账单只显示"扣后净额 = 商品 - 平台券 - 平台扣点 - 物流费(模糊)",内部核算必须把 14.7% 的物流费率拆到"首段干线 + 支线 + 送货上楼 + 安装服务"4 段履约,再按 SPU/SKU 落到主营业务成本**——这就是"按履约段分摊"在家居行业**不是会计技巧、是合规基线**的原因。本文拆解 4 大家居物流场景 × 5 张数据表 × 3 个反直觉发现,讲清楚
一篇文章把 v3 重构后的「双轨认证」讲透：网关层（App-Key + scrypt + 路径级 scope + Redis 限流）防止第三方系统越权调用；应用层（JWT + HMAC-SHA256 + x-gateway-user-id 旁路信任链）防止内部 API 被非法访问；业务层（bcrypt 10 rounds + 5 次错密码锁 15 分钟 + IP 60s/10 次限流）防止密码爆破。三个层级相互独立、又通过「同进程可信通道」串成一条完整的防御链。
This tutorial, grounded in multiple real-world projects, breaks down the "Query Jiandaoyun Material Form Data" API into six parts: scenarios, capabilities, field mapping, Qeasy Cloud configuration, cross-solution best practices, and pitfall retrospectives. Readers can master in one article how this API supports sales-order integration between Jiandaoyun and Kingdee Cloud Cosmic, and how it is encapsulated in the Qeasy Cloud Data Integration Platform.
This tutorial uses a BOM sync failure alerting scenario from a manufacturing enterprise to explain how to use the Qeasy Data Integration Platform to push failed push records from a MySQL interface log table to a DingTalk group robot in real time by business type and responsible person, covering data flow, field mapping, scheduling strategy and common pitfalls.
This tutorial focuses on a specific supply-chain integration strategy: syncing sales order line items from an upstream retail ERP into a downstream analytics warehouse. It walks through data flow, field mapping, configuration on the Qeasy data integration platform, phased implementation, and common pitfalls to help enterprise IT teams avoid rework.
This article focuses on a single concrete strategy: syncing sales outbound orders from Jushuitan to Kingdee Cloud Xingchen. It walks through the data flow, field mapping, configuration essentials on the Qeasy platform, phased scheduling, and five field-tested pitfalls, helping enterprise IT teams deliver the integration quickly and reliably.
Rebate order ERP number write-back looks like simple "document ID transfer," but it is actually the key closed loop for business-finance integration. Starting from querying completed rebate records in the source system and writing them back to the CRM after intermediate layer transformation, this article explains configuration essentials, incremental scheduling, and lessons learned.
This article focuses on one specific strategy—pushing offline sales outbound orders from Jushuitan to Kingdee Cosmic local warehouse—and explains the data flow, field mapping, key configuration points on Qeasy, phased scheduling ideas, and common pitfalls. It is intended as a reference for implementation engineers working on supply chain integration.
This guide walks through a single strategy—syncing sales return orders from an e-commerce ERP to a financial ERP—and details how to implement it end-to-end on the Qeasy data integration platform, covering data flow, field mapping, configuration essentials, scheduling phases, and common pitfalls.
This tutorial consolidates hands-on experience from multiple customer projects on the Kingdee Cloud Xingchen /jdy/v2/bd/store warehouse query API. It systematically covers field meanings, pagination and incremental mechanisms, the Qeasy platform encapsulation, and real-world pitfalls, helping engineers master the API in one read.
