Whether internal systems or third-party platforms, Qeasy opens data channels fast — no complex development, configuration is connection. How data flows, transforms and succeeds is fully visible, trackable like a shipment.
An e-commerce finance-business reconciliation system built around IFRS 15 / ASC 606: multi-platform statement collection, three-way matching, 23-category variance attribution, and one-click posting to Kingdee / Yonyou / SAP. Replace month-end 'manual exports + row-by-row Excel checks' with a quantified daily routine.
Supports 15 domestic and cross-border e-commerce platforms. Statements and payment flows from Tmall, JD, Douyin, Amazon, Lazada and more are ingested and normalized by transaction timestamp.
Match platform statements, orders and internal books line by line. Matches pass automatically; mismatches are tagged with 23 business reasons — each with a suggested action — readable by new hires and acceptable to auditors.
Fine-grained accounting across five dimensions — store × SKU × margin × tax × cash — with seven deduction layers from GMV to net profit. Shared expenses auto-allocated to SKUs, revealing true per-item profit after allocation.
Generate sales, refund, commission and adjustment vouchers from reconciliation results, push provisional receivables to financial receivables, and connect finance-business data with Kingdee, Yonyou and SAP.
Connect Kingdee, Yonyou, WDT, Jushuitan and other mainstream systems through visual data-sync and workflow configuration.
Qeasy provides system integration for Budweiser, By-Health, Sinopharm and other enterprises, connecting business systems and data flows.
From discovery and solution design to configuration, testing and operations, we build integration plans around your existing systems and data definitions.
Manage discovery, design, development, testing and launch with a clear scope, acceptance checkpoints and runtime follow-up.
Our consultants bring multi-industry, multi-system experience to adapt integrations for complex architectures and diverse data sources.
Get technical support, maintenance and troubleshooting, with continuous task monitoring and response times defined by your service agreement.
This tutorial focuses on a single after-sales document sync strategy: incrementally pushing Jushuitan's rejection refund orders to Kingdee Cloud · Galaxy Flagship Edition as sales return bills. It covers field mapping, key Qeasy configuration points, phased scheduling, and common pitfalls—aimed at after-sales integration engineers.
For smart manufacturing scenarios, this solution designs 22 integration strategies between Kingdee Cloud Galaxy and Sihua MES, covering master data, production, procurement, inventory, and query flows. Execution is phased across four stages with master data first and business documents dependent on it. Code mapping, incremental fields, and staggered write windows ensure data consistency.
This tutorial uses the 'modify pushed-down payment bill' strategy as an example to explain how to incrementally write back DingTalk approval field changes to Kingdee Cloud payment bills on the Qeasy platform, covering key practices such as cross-query locating FID, enum mapping, and NeedUpDateFields restriction.
This guide dissects the single strategy of querying sales return requests, covering data flow, field mapping, configuration on Qeasy, phased scheduling, four pitfalls from real projects, and clear boundaries.
Pushing a document into Kingdee Cloud Galaxy is only the starting point; what business users really need is a visible status update in DingTalk. Using one concrete strategy, this article breaks down the source-side null-op validation, the DingTalk comment API call, and the lightweight scheduling concerns.
This article focuses on a single strategy: how to reliably push approved purchase orders from Panwei OA into Kingdee Cloud Cosmos, including header and line items. Drawing on a real project, it covers data flow, field mapping, configuration highlights on the Qeasy data integration platform, phased scheduling, and 3–5 practical lessons learned to help enterprise IT teams avoid common pitfalls.
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