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Guangdong Qingyiyun Software Technology Co., Ltd. · Enterprise-grade AI Agent in production

The AI Agent-Powered E-commerce Financial Reconciliation Platform

The Qeasy intelligent reconciliation platform upgrades the 'manual exports + Excel cross-checking' finance workflow of large-scale e-commerce businesses into a traceable, schedulable and extensible system: fact-data engineering, a knowledge base, AI Agent e-commerce reconciliation, custom reports and smart financial reconciliation — putting AI to work in real finance scenarios.

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15 大
Major e-commerce platform statements connected (domestic + cross-border)
24 张
Finance-grade fact tables (Decimal(20,4) precision)
3 + 1
Domain agents + one general assistant
100%
Traceable reconciliation lineage (reverse lookup via minimal bridge tables)
Qeasy intelligent reconciliation platform — the AI-driven data foundation

Fact-data engineering + knowledge base

An AI-Driven Data Foundation

Facing e-commerce statements in wildly different formats from JD, Douyin, Alipay, Amazon and more, the platform normalizes heterogeneous statements into a standard fact layer with Decimal(20,4) precision using sandboxed JS parsing scripts, then distills platform rules, accounting items and script samples into a reasoning-ready business knowledge base through pgvector + HNSW vector indexing and hybrid retrieval (vector + keyword → RRF → MMR). AI finally 'reads' e-commerce finance instead of staring at piles of Excel files.

Qeasy intelligent reconciliation platform — the AI Agent matrix

AI Agent capabilities + AI Agent e-commerce reconciliation

The AI Agent Matrix, Applied to E-commerce Reconciliation

The platform ships one general assistant (the global chief of staff) plus three domain agents — Bill Parsing Engineer, Reconciliation Script Engineer and Expense Allocation Engineer. Through a five-step standard workflow (requirement dialogue → automatic reconnaissance → script writing → sandbox testing → execution), finance staff drive reconciliation script authoring, testing and execution in natural language. Agents never bypass scripts to mutate business data: every side effect still goes through the existing 'script + JobTask + BullMQ' pipeline — rollbackable and auditable, working in real e-commerce finance engineering scenarios rather than demo-grade toys.

Qeasy intelligent reconciliation platform — smart reconciliation with AI decisions

Smart financial reconciliation + custom reports

Smart Reconciliation, AI-Assisted Decisions

Built for real e-commerce finance at the 100k-document scale, the platform runs twin reconciliation plans (revenue + expenses) on an async BullMQ queue with a 7-state state machine, automatically completing the three-way match across platform statements ↔ supply-chain orders ↔ internal accounting, with item details written back automatically. Together with expense aggregation views, raw statement views and custom reports that drill down by platform / store / business order number, reconciliation results become decision-ready financial insight — AI working for real in large-scale e-commerce finance.

From Manual Excel Checks to AI-Driven Reconciliation

E-commerce agencies, brands and finance outsourcing teams wrestle with multi-platform statements every month. Qeasy turns this workflow into an asynchronous, traceable and re-runnable system capability.

Manual exports + row-by-row Excel checks

Statements auto-imported and persisted, driven by async tasks, traceable throughout

Every platform's statement format is different

Sandboxed JS parsing scripts auto-identify business order numbers and accounting items for any platform, any format

Discrepancy causes hunted down by hand

Dual-code reconciliation compares line by line; variance amounts and reasons persisted per row

Shared expenses allocated by gut feel

Sandboxed allocation scripts compute automatically and write back to revenue reconciliation lines in real time

Core capabilities

Six Capabilities Covering the Full E-commerce Reconciliation Lifecycle

Fact-Data Engineering

One-click import persists statements from any platform in any format; each platform × statement type gets its own fact table with full raw-row snapshots; finance-grade Decimal precision (amounts (20,4) / unit prices (20,6)); a 5-field minimal bridge table traces any reconciliation result back to the original statement row.

  • 24 fact tables
  • Raw-row snapshots (rawData)
  • End-to-end reverse traceability

Smart Financial Reconciliation

Twin reconciliation plans: revenue auto-matches supply-chain orders (dual-code comparison) while expenses are confirmed line by line; a three-tier expense architecture (plan → aggregation → allocation detail) with sandboxed allocation scripts writes shared expenses back to revenue lines automatically, and item details are written back on success.

  • Twin revenue & expense plans
  • Sandboxed expense allocation with write-back
  • State machine, auditable throughout

AI Agent E-commerce Reconciliation

Users describe business needs in natural language and AI Agents close the loop: analyze → confirm → write script → test → launch → verify. Three domain agents — bill parsing, reconciliation and expense allocation — each do their job, dispatched by the general assistant.

  • Natural-language-driven reconciliation
  • Automated script generation and testing
  • Audited execution trail

Knowledge Base

Hybrid recall with pgvector vector search + keyword search (RRF fusion + MMR re-ranking) over 1536-dimension Chinese semantic vectors; help documents and AI knowledge share one source — maintained once, effective everywhere; async LLM evaluation continuously monitors retrieval quality.

  • Hybrid vector + keyword retrieval
  • Help docs and AI knowledge from one source
  • Continuous retrieval-quality evaluation

Custom Reports

Expense aggregation and raw statement views work out of the box, pivoting freely by platform / store / business order number; dual-dimension aggregation by accounting item + accounting unit, with custom parsing and allocation scripts keeping report calibers flexible as the business evolves.

  • Pivot by platform × store × order
  • Dual-dimension accounting-item aggregation
  • Script-defined report calibers

Enterprise-Grade Platform Foundation

BullMQ async queues power high-volume statement processing; a dual-layer sandbox (isolated-vm + dedicated child processes) isolates user scripts; every agent tool call is persisted to audit tables, script version history is rollbackable, and tests never touch the database — financial data stays safe and under control.

  • BullMQ async task scheduling
  • Dual-layer sandbox isolation
  • Full audit trail + version rollback
Reconciliation workflow

A Five-Step Loop — Every Penny Accounted For

  1. 1

    Statement import

    Upload Excel / CSV from any platform; async tasks persist automatically

  2. 2

    Sandboxed parsing

    JS scripts identify business order numbers and accounting items; failures are fixed and re-queued

  3. 3

    Pivot views

    Expense aggregation and raw statements pivoted by platform, store and order number

  4. 4

    Twin reconciliation

    Revenue auto-matched to supply chain, expenses confirmed line by line, variances persisted

  5. 5

    Allocation write-back

    Shared expenses allocated in the sandbox and written back to revenue lines in real time

Three-way matching across platform statements ↔ supply-chain orders ↔ internal accounting — monthly reconciliation with minimal manual intervention.

AI Agents in production

Not a Demo — an Agent Matrix Doing Real Work at Large-Scale E-commerce Companies

Finance staff state requirements in natural language; agents autonomously reconnoiter, write, test and save — humans only confirm once before execution. Three domain agents each do their job, orchestrated by the general assistant.

bill-parse-agent

Bill Parsing Engineer

Creates, edits, tests and triggers parsing scripts; auto-identifies business order numbers and accounting items; validates parsing results.

reconcile-script-agent

Reconciliation Script Engineer

Writes and tests reconciliation scripts, drives revenue plan execution, and compares supply-chain orders line by line with result verification.

expense-allocate-agent

Expense Allocation Engineer

Manages the full lifecycle of allocation scripts, executes shared-expense allocation with write-back to revenue lines, and validates results.

general-assistant

General Assistant · Chief of Staff

Global Q&A + read-only status queries with one-level dispatch to domain agents — one entry point for business users to command every capability.

Security and Trust by Design for Finance Scenarios

  • Light-confirmation safety model: agents autonomously reconnoiter, write, test and save; only execution requires one business-language confirmation
  • Every business side effect goes through the existing 'script + JobTask + BullMQ' pipeline — no second write path is invented
  • Tests never persist, script versions are rollbackable, and all tool calls are audited — financial data stays under control
  • SKILL.md skill standard + a five-category tool contract (read / write / test / trigger / validate) keeps capability boundaries explicit
Platforms & integrations

15 Major E-commerce Platforms — Domestic and Cross-Border Coverage

Domestic coverage spans JD POP, Douyin Shop, Pinduoduo, Xiaohongshu, WeChat Channels, VIP.com and the Alipay funds system; cross-border coverage spans Amazon, Temu, Shopee, Lazada, eBay, AliExpress, Shopify storefronts and Newegg. The platform integration framework is ready, with the full matrix rolling out progressively.

  • JD POP reconciliation integrationJD POP
  • Douyin Shop reconciliation integrationDouyin Shop
  • Alipay reconciliation integrationAlipay
  • Amazon reconciliation integrationAmazon
  • Pinduoduo reconciliation integrationPinduoduo
  • Xiaohongshu reconciliation integrationXiaohongshu
  • WeChat Channels reconciliation integrationWeChat Channels
  • VIP.com reconciliation integrationVIP.com
  • Temu reconciliation integrationTemu
  • Shopee reconciliation integrationShopee
  • Lazada reconciliation integrationLazada
  • eBay reconciliation integrationeBay
  • AliExpress reconciliation integrationAliExpress
  • Shopify reconciliation integrationShopify
  • Newegg reconciliation integrationNewegg

Universal ERP Integration Framework · Kingdee Cosmic

A built-in universal ERP integration framework auto-aligns supply-chain orders (three-code system) with platform statements; Kingdee Cosmic receivables join revenue reconciliation directly at line level — a closed loop across platform statements ↔ supply-chain orders ↔ ERP accounting.

Talk to a reconciliation consultant

卢剑航
卢剑航数据集成专家

拥有十多年丰富的经验，擅长ERP、MES、数据中台、营销云中台等集成。他能够根据客户需求，为其提供一站式集成解决方案，帮助企业快速实现各类系统数据集成服务。

13760755942
何海波
何海波数据集成顾问

轻易云的技术专家，拥有丰富的数据集成规划经验。他能够为客户提供专业、全面的数据集成规划方案，熟练掌握多种集成技术和工具，帮助企业在数据集成领域得到长远发展。

18175716035
谢锴斌
谢锴斌数据集成顾问

资深系统集成顾问，专长于ERP、电商OMS、钉钉及CRM系统。他能提供高效的集成方案，优化企业运营流程，提升业务效率和决策智能化。

13622585794
About us

Guangdong Qingyiyun Software Technology Co., Ltd.

Our core product Qeasy focuses on enterprise data integration and application building. This intelligent reconciliation platform is Qeasy's flagship enterprise-grade AI Agent deployment: fact-data engineering as the foundation, a knowledge base as cognition, and an AI Agent matrix as execution — serving real financial reconciliation at large-scale e-commerce companies. Not a proof of concept, but a reconciliation pipeline running in production every month.

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  • Real production scenarios

    Monthly reconciliation pipelines running in production at large-scale e-commerce companies

  • Fully self-developed stack

    Fact-data layer, knowledge base and agent runtime — the full stack under our control

  • Finance-grade reliability

    Decimal precision, audit trails, version rollback and a dual-layer sandbox

  • Continuously evolving

    Scripted parsing and allocation onboard new platforms and calibers fast