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Answer in 30 seconds · Kingdee AI

ERP integrated + Xinchuang: Kingdee AI focuses on financial supply chain; look at Jiandaoyun for lightweight forms.

AI Hengping → · Channel Quotation → · Kingdee Learning Center →

AI capability document ≠ Contract acceptance criteria

AI Hengping → function evaluation → channel quotation → Jiaqiwei Telephone consultation
Starry Sky · AI Atomic Power

Kingdee cloud·starry sky AI capability panorama

Let’s look at the answer first: How to evaluate Kingdee’s AI capabilities?

First list out the AI ​​scenarios you want to use (document assistant, knowledge Q&A, prediction, etc.) and check whether the current version is built-in or needs to be purchased additionally.When comparing with general low-code AI/Agent tools, check whether the data entry and audit meet compliance, and then decide the budget and channel plan.

面向中大型企业 ERP 的 12 项 AI 原子能力,由 星瀚 AI 服务底座 驱动,可私有化 / 混合云 / 纯云部署。覆盖 财务 · 供应链 · 生产制造 · 销售 · 人力资源 · 决策 六大视角,每项能力均可独立启用、按需组合。

Selection / Channel Price / Implementation (optional)
01

AI Financial OCR (Multiple Invoice Types + Document Identification)

Finance

Special value-added tax invoice/general invoice/electronic invoice/train ticket/air ticket/customs payment note/bank receipt/contract/logistics form/customs declaration form—two-layer identification of the entire invoice elements + detailed line items, batch 500 sheets/time, and the identification fields are automatically backfilled in the ERP document.

Whole vote recognition ≥96% Detail row ≥92% supports 30+ ticket types Batch 500 sheets/time Multi-language recognition
02

AI intelligent accounting and cost accounting

Finance

Multi-organization/multi-account book/multi-accounting standards parallel automatic entry engine: business events → account recommendation → voucher generation → monthly cost allocation, supporting three accounting methods: standard cost, actual cost, and job cost.

  • Automatically match accounts by business type (purchasing/sales/production/expenses)
  • Automatic elimination of intra-organizational transactions
  • Multi-currency conversion + automatic calculation of exchange gains and losses
  • Monthly settlement automation: carry forward → apportionment → settlement → consolidation
Monthly statement efficiency improvement 65% misreporting rate ↓ 80% consolidated report <2 hours
03

AI bank-enterprise reconciliation and fund forecasting

Finance

Directly connect to 100+ domestic foreign banks to pull the flow, AI automatically matches the voucher → write-off; at the same time, based on the collection and payment plan + historical fluctuation prediction 7 / 30 / 90 days the group's funding gap is linked to credit granting and financial management decisions.

  • One-to-many/many-to-many/fuzzy summary semantic matching
  • Unsettled account / In transit / Handling fee / Refund automatic classification
  • Group capital pool + cash flow rolling forecast
  • Abnormal warning: account freeze, large transaction, balance below threshold
Reconciliation accuracy ≥93% Reconciliation time ↓ 88% Fund forecast error <8%
04

AI supply chain collaboration and demand forecasting

Supply chain

Based on sales orders + historical demand + seasonality + market signals, output SKU × store × day fine-grained demand forecasts to drive MRP/purchase requisition/production order automation; support VMI and intelligent replenishment.

  • Multi-level forecast: Headquarters → Region → Store → SKU
  • New product introduction/automatic identification of life cycle decay
  • Supplier collaboration portal: AI push order planning and arrival warning
  • Active alarm for abnormal signals (out of stock, backlog, sluggishness)
Forecast accuracy ≥85% Inventory turnover ↑ 30% Out-of-stock rate ↓ 50%
05

AI APS intelligent production scheduling

Production

Multi-objective optimization scheduling that considers materials/equipment/tooling/personnel/order priority/changeover time/process route supports discrete + process + hybrid manufacturing.Minute-level rescheduling deals with order insertion, equipment failure, and material delays.

  • Multi-objective optimization: on-time rate + replacement cost + equipment utilization
  • Constraint Solving: Bottleneck Station Identification and Balancing
  • Rolling scheduling: automatic rescheduling for each shift
  • Gantt chart visualization + manual fine-tuning + version comparison
order on-time rate ↑ 25% changeover time ↓ 35% equipment utilization ↑ 15%
06

AI MES quality prediction and traceability

Production

Based on process parameters/inspection history/batch traceability, batch defective rates and abnormal processes can be predicted in advance; once an after-sales complaint is triggered, the batches, materials, equipment, and teams involved will be investigated in seconds.

  • SPC statistical process control + AI drift detection
  • Batch traceability: from finished products to raw material suppliers
  • Defect root cause analysis (process × equipment × personnel)
  • Automatic verification of SOP execution compliance at key workstations
Defect rate ↓ 22% Traceability response <30 seconds Customer complaint closed loop ↓ 50%
07

AI Intelligent Inventory Optimization

Supply chain

Dynamic safety inventory model for multiple warehouses and organizations: Calculate economic order quantity, reorder point, and safety stock on a rolling basis by SKU × warehouse × cycle, identify sluggishness, and give disposal recommendations (allocation/promotion/scrap).

  • Dynamic safety stock = f (demand fluctuation, supply cycle, service level)
  • ABC + XYZ dual-dimensional classification strategy
  • Sluggish identification: Turnover days × change trend
  • Cross-warehouse allocation suggestions + cost-optimal path
sluggish proportion ↓ 40% safety stock ↓ 20% out of stock replenishment <24 hours
08

Business Analysis Copilot (conversational questions)

decision

Natural language questions + in-depth insight reports: executives get charts + year-on-month comparison + root cause interpretation in one sentence; the business cockpit automatically pushes weekly and monthly reports on changes, and recommends action items.

  • Semantic analysis: "What are the products whose gross profit in East China last month was lower than the budget?"
  • Multi-dimensional perspective: four-dimensional intersection of product/customer/organization/time
  • Drill down on abnormal changes: Drill down from indicator exceptions to document details
  • Proactive insights: daily push of Top 3 business changes and suggestions
Question response <4 seconds report requirements ↓ 60% change detection 3-7 days
09

AI intelligent contract review and electronic signature

Supply chain

Based on the contract terms knowledge base (purchasing/sales/labor/leasing), it performs difference comparison, risk clause identification, and missing clause prompts; it seamlessly connects to the electronic signature platform and automatically writes back ERP business documents after signing the contract.

Contract review ↓ 70% Working hours Risk clause identification ≥90%
10

AI customer insights and churn prediction

sales

Customer 360° portrait based on historical transactions + interaction behavior + credit file: RFM stratification, life cycle stage, churn probability, cross-sell recommendation; drives sales actions and customer recovery actions.

Churn prediction AUC ≥0.85 Recovery success rate ↑ 30% Cross-selling ↑ 18%
11

AI fee control compliance warning

Finance

Embedded compliance verification in reimbursement/payment/purchase scenarios: split orders, repeated reimbursements, excess standards, related transactions, third-stream inconsistencies - automatic risk control scoring and pre-approval interception; monthly tax health self-examination report.

Identification of violations ≥93%Audit efficiency ↑ 50%Tax burden deviation early warning
12

AI Intelligent HR (Recruitment·Performance·Talent)

HR

Resume NLP analysis + job matching score; identification of performance changes and generation of key points for performance interviews; talent inventory grid + succession plan recommendation; employee turnover prediction drives proactive care.

Resume screening ↓ 80% Working hoursRecruitment cycle ↓ 40%Loss of core employees ↓ 25%

Three-stage path to implementation of AI capabilities

It is recommended to enable it in stages according to value priority to avoid over-investment at one time.

Phase 1

Quick effect period (4-8 weeks)

Use financial sharing and daily operations as a breakthrough to achieve visible efficiency improvements.

  • 01 Financial OCR + 02 Intelligent Accounting
  • 03 Bank-enterprise reconciliation and fund forecast
  • 11 Fee control compliance warning
Phase 2

Business integration period (2-4 months)

Open up the supply chain + production data to release room for optimization of inventory and scheduling.

  • 04 Supply chain collaboration and demand forecasting
  • 05 APS intelligent production scheduling
  • 07 Intelligent inventory optimization
  • 06 MES quality prediction
Phase 3

Strategic drive period (6-12 months)

Develop AI-empowered decision-making and growth capabilities to drive business innovation.

  • 08 Manage Copilot Conversational Questions
  • 10 Customer Insights and Churn Prediction
  • 09 Intelligent contract review
  • 12 Smart HR

Next step recommendation

After reading the starry sky AI capability list, common next steps

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Star AI capabilities · Continue to delve deeper

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Kingdee · How to implement after studying?

Compare the Hengping matrix, cost calculations and official channel quotations to reduce repeated searches.