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.
Auto-ingest statements and payment flows from Tmall, JD, Douyin, Amazon, Lazada and 15+ other e-commerce platforms — normalized into a standard structure at the transaction timestamp. No more manual exports, no more missing statements.
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.
From reconciled to posted: sales, refund, commission and adjustment vouchers generated automatically. Provisional receivables pushed down to financial receivables in one click. Out-of-the-box integration with Kingdee, Yonyou and SAP for zero-latency finance-business sync.
One-click integration with 500+ mainstream systems including Kingdee, Yonyou, WDT and Jushuitan. Visual configuration enables cross-system data sync and process automation.
Seasoned expertise to accelerate your digital journey. Self-developed and technically leading, we integrate systems fast and break down data silos — tailored solutions for enterprises and startups alike.
Advanced project management with tight control over every phase ensures on-time delivery of high-quality integration solutions, kept efficient and stable through continuous monitoring and optimization.
Our consultants bring multi-industry, multi-system integration experience, quickly understanding unique requirements — from complex enterprise architectures to diverse data sources.
Comprehensive after-sales support with a 24/7 online service team for technical support, maintenance and upgrades — keeping your business running stably.
金蝶云星空、用户系统里的对账结果要生成应收单、应付单,自研 ERP 要的是另一套字段……这套「目标系统千差万别」的中间产物,怎么在 Prisma schema 里只占 4 张表、不随集成数线性膨胀?答案就是「transform_documents × payload JSONB × columnSchema × editableFields」这一组通用骨架——骨架字段固定、目标系统差异全收敛进 JSONB、列声明与编辑白名单随批次快照落库、金额字段一律禁改。
同一句话「对账」,在京东 POP、抖店、支付宝、亚马逊、速卖通五个平台跑出来的是五种不同的判定逻辑——京东用整单轧差把同一订单的收款和退款合并成净额再判、抖店沿用同一种整单轧差但把判定轮次刻意做少靠多证据链单点爆破、亚马逊坚持分向不轧差让收款与退款各对各的、支付宝靠三张表分别告诉你「平台给了多少」「在哪个账户」「生了多少利息」、速卖通用 4 个资金 billType 拆开两套资金账户再叠 1 张不入金蝶的 JIT 维表。这篇文章不是平台对比表,是把这五种「判定权威」背后的工程逻辑拆给你看——读完你会知道为什么亚马逊的对账失败率能从 20% 压到 5% 靠的不是多写代码而是认清「分向不轧差」是账单本质决定的。
AI 系统的知识库不是「写一次吃一辈子」,它会随代码迭代、随业务更新、随 md 文档修正而持续变化。这篇文章不讲 RAG 原理,而是讲一个更接地气的问题:怎么让「拉代码 + 重启服务」一行命令搞定知识库更新,让运维不需要关心这次改的是 md、是 seed、还是 schema 注释?答案是一个 70 行的 Node 脚本 + 一份调用纪律:post-deploy-knowledge。
电商对账不是「两列数字相减」,而是一套**合规风险控制系统**——5 大雷区(收入确认时点错配、退款倒挂、平台补贴未入账、跨期收入错配、代扣税未计提)每年让中型电商公司产生 0.3%-1.2% 的「假利润」,审计一来就得做红冲、做追溯、做说明。本文不讲术语堆砌,从一份真实的月结错账复盘出发,把每条雷区的触发场景、合规口径、规避动作拆给你看。读完你会知道:合规对账的护城河不在 Excel 表里,而在**机读差异标签**(diffReason)+ **沙箱分摊反写** + **物料级追溯链**这三件事上。
2024 年 1 月,财政部《企业数据资源相关会计处理暂行规定》正式施行,把"数据资源"从治理议题推到会计科目——而决定一项数据能不能从"原始流水"走到"无形资产"入表的,是企业数据治理的成熟度水平。同样是 5 亿条订单数据,治理成熟度 3 级的电商企业可以做出 95% 自动对账的核算体系,治理成熟度 1 级的同行依然困在"每月对账 8 天、差异靠 Exce…
This article walks through a single strategy that syncs supplier master data from LingXing ERP to Kingdee Cloud, covering data flow, field mapping, configuration in Qeasy, dual-track scheduling, and five lessons learned.
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