Building a Competitive Supply Chain Ecosystem
Currently, the traction machine industry is facing severe internal competition, and traditional supply chain management continues to encounter various challenges. Nidec Elevator Components KDS will upgrade its supply chain management by integrating big data technology to build a "Supply Chain Smart Brain" system. This aims to achieve standardized management of suppliers, effectively help customers shorten delivery cycles, and increase market share.
Current Status of Traditional Supply Chain Management:
Solutions: Two Core Functions of the "Supply Chain Smart Brain"
1. Full-Link Cost Transparency: Making Every Penny "Visible".The "Supply Chain Smart Brain" breaks through the cost accounting limitations of traditional ERP systems to achieve comprehensive cost analysis:
• Cost Attribution:
Automatically identifies cost drivers based on product cost components (raw materials, logistics, manufacturing, inventory holding costs, etc.) and historical usage data.
• Dynamic Price Simulation:
Integrates bulk commodity futures data and exchange rate fluctuation models to provide quantitative basis for decision-making.
2. Ecological Collaboration: Co-Creating a "Zero-Waste" Network with Suppliers Through a supplier collaboration framework, the "Smart Brain" builds an efficient and transparent supply chain ecosystem:
• Smart Contract Execution:
Procurement contracts automatically embed clauses such as quality standards and delivery times. After goods are inspected and accepted, reconciliation is automatically triggered, reducing financial reconciliation time by 90%.
• Order Information Sharing Platform:
By opening up information, suppliers can self-service query KDS's demand information and jointly develop production capacity plans.
• Inquiry and Tendering Platform:
Publicly发布 demand information to improve management efficiency and transparent competition.
Future Outlook: In-Depth Integration of AI
Nidec Elevator Components KDS has launched the "Supply Chain Smart Brain 2.0" plan, with a key focus on: the in-depth integration of local big data and AI.
As the plan progresses, KDS will achieve deep integration of local big data and AI technology. In the future, our supply chain system will have stronger data processing capabilities, higher prediction accuracy, and more intelligent decision-making capabilities. This will enable us to better respond to market changes, meet customer needs, and enhance overall competitiveness.