黄金城集团

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SIE DISC

SIE DISC
Utilizing digital technology, we assist enterprises in establishing proactive supply chains centered around customers, facilitating their transformation and upgrading from traditional "functional supply chains" to "digitally and intelligently integrated supply chains". This enables perfect collaboration within the supply ecosystem, making the supply chain the core competitiveness of the enterprise
Product Blueprint

Assist enterprises in establishing a customer-centric proactive supply chain, achieving perfect synergy in the supply ecosystem, and making the supply chain the core competitiveness of the enterprise

Creating a new supply chain operation model driven by digital technology to achieve optimal cost and supply efficiency!

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AI+ supply chain | 30+ scenarios

Through AI technology, enterprises can build a more agile and intelligent supply chain system, achieving a transformation from a "passive response" to an "active optimization" smart supply chain


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Product Highlights
Flexible Supply Collaboration Front Desk

Build a supply ecosystem collaboration platform to achieve integrated insights and execution

Relying on card based configuration and decoupling to create personalized customer experience

Connect enterprises and supply chains through internal and external collaboration and standardized interfaces


Powerful integrated supply business platform

Based on the V model and DDD domain driven design, promote the implementation of service-oriented architecture

Drive supply process control with order flow and coordinate enterprise resource allocation with planned flow

Build an agile and lightweight business platform by using the existing information operation system


Stable technical base backend

Scalable Supply Chain Business Object Model Based on iDME Base

Building data services based on a data platform and accumulating out of the box data assets

Based on cloud native infrastructure capabilities, driven by data platforms, and enabled by AI to support intelligent supply chain applications


Customer cases
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