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Automotive assembly line

CASE STUDY   AUTOMOTIVE

Intelligent Application (ERP): Standardizing Automotive Settlement & Compliance

CustomerGlobal Top-10 Automotive Technology Supplier
IndustryManufacturing · Automotive
Context25,000 employees · 55 plants in China · 20+ major OEMs (VW, BMW, Mercedes-Benz, etc.)
SolutionIndustrial Intelligent Applications(ERP)

01 — CHALLENGES

01

​Cross-Regional Business Logic Divergence

Navigating the methodological gaps in settlement and operational standards between China and global markets, which requires complex reconciliation of disparate regulatory frameworks.

02

Multi-MES Parallelism: Building Unified Operational Capabilities

The Group operates over 60 factories with multiple independent MES systems running in parallel. At this stage, data standards and metrics across production, quality, equipment, and planning modules are being aligned to support the next level of integrated operations and cross-factory resource synergy.

02 — SOLUTION & ADVANTAGES

SoE—Intelligent Resource Management Application

OCR-driven settlement automation

Deep SAP Integration

Bi-directional real-time data exchange, enhancing standard SAP with localized functional depth.

Intelligent Recognition

OCR-powered automated identification of 20+ diverse OEM settlement formats.

Automated Compliance

End-to-end automation from variance reconciliation to direct Golden Tax system connectivity.

03 — KEY PERFORMANCE

80%

Reduction in manual workload.

1 Month

Rapid deployment to go-live (POC).

90%

Faster implementation cycle (from 6-12 months to 4 weeks).

04 — Business Impact

Automated settlement and compliance dashboard

Settlement Automation

Weeks of manual reconciliation collapsed into automated, real-time flows

Local Compliance

Direct Golden Tax connectivity aligned with China-specific requirements

05 — CLIENT QUOTE

“
The Intelligent Application automated our China settlement operations, eliminating weeks of manual reconciliation while maintaining perfect compliance with local requirements."