Databricks 10月02日 22:53
数据与AI赋能供应链转型
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文章阐述了当前供应链面临的复杂性和关键性,指出许多组织仍依赖碎片化系统和手动操作,阻碍了洞察力和生产力。在面临颠覆性事件时,这些不足可能导致资本浪费或客户信任受损。文章强调了传统库存管理方法的局限性,并提出需要整合数据、实时预测、自动化流程来提高敏捷性和韧性。Databricks的数据智能平台通过统一数据源、实现AI规模化应用,为企业提供跨供应链职能的洞察。特别提及了Databricks与SAP的集成,能够打通SAP数据与外部信号,实现实时供应链视图,从而更好地预测需求、优化库存并应对中断。最终,文章强调了构建智能供应链的重要性,认为其是竞争优势的关键,并鼓励企业通过统一、可治理的数据和AI驱动的洞察来增强韧性。

📦 **供应链的复杂性与挑战**: 现代供应链日益复杂且至关重要,涉及需求预测、生产计划、物流和库存管理等多个环节。然而,许多组织仍依赖分散的系统和手动流程,这不仅减缓了洞察速度和生产力,也使得在面对突发事件时易于产生资本损失或客户信任危机。

💡 **数据与AI是应对挑战的关键**: 传统的库存管理方法已无法适应当前市场的波动性。文章指出,实现供应链转型需要整合来自ERP、IoT和合作伙伴系统的分散数据,提供实时的预测性洞察和情景规划能力,并通过自动化重复流程来增强敏捷性和韧性。数据和人工智能是实现这些目标的核心驱动力。

🌐 **Databricks统一数据智能平台**: Databricks的数据智能平台能够帮助企业统一所有数据源,大规模部署AI,并在所有供应链职能中提供洞察。其关键能力包括跨数据孤岛的实时数据集成(利用Delta Sharing和Lakeflow)、通过Unity Catalog确保数据的准确性和合规性、利用AI驱动自动化以实现更智能的决策,以及安全的协作能力,允许在不影响合规性的前提下与合作伙伴共享洞察。

🔗 **SAP数据整合与价值释放**: 对于大多数企业而言,SAP是供应链运营的核心。Databricks与SAP的集成(SAP Databricks)使得企业能够无缝地将SAP数据与外部信号(如IoT、市场数据)相结合,从而解锁预测性洞察,并构建以前因复杂性或成本过高而无法实现的AI驱动应用,最终实现对供应链的实时、可信视图。

🚀 **构建智能供应链以获得竞争优势**: 文章强调,供应链韧性已不再是可有可无的选项,而是重要的竞争优势。通过利用数据和AI,组织可以将复杂性转化为清晰度,优化库存,减轻风险,并在快速变化的世界中保持运营的敏捷性。构建这一基础始于统一、可治理的数据,并延伸到驱动更好决策的AI驱动洞察和自动化。

Supply chains have never been more complex or more critical to business success. From retail and consumer goods to manufacturing, energy and healthcare, organizations must balance various facets of the process from demand forecasting and production planning to supply chain logistics and inventory management.

Yet many of these processes are still powered by fragmented systems and manual workarounds, which slow insights and productivity. When disruption strikes, those gaps can quickly translate into wasted capital or lost customer trust.

Why Supply Chain Transformation Can’t Wait

Traditional approaches to inventory management simply can’t keep up with today’s volatility. What’s needed is a way to:

    Centralize data across ERP, IoT and partner systemsDeliver predictive insights and scenario planning in real timeEmpower both technical and business users with governed, trustworthy dataAutomate repetitive processes to increase agility and resilience

That’s where data and AI come in.

A Unified Approach to Data + AI with Databricks

The Databricks Data Intelligence Platform allows enterprises to unify their data, scale AI and deliver insights across all supply chain functions. By unifying all data sources, organizations can generate actionable intelligence at unprecedented speed. Key capabilities include:

    Real-time data integration across silos: Including live ingestion from ERP, IoT, and external sources using Delta Sharing and a unified data engineering solution with Lakeflow.Governance and quality assurance: Unity Catalog ensures accurate, compliant, and auditable data across all business units.AI-driven automation: Scale predictive models, agentic workflows, and scenario simulations for smarter, faster decision-making.Secure collaboration: Share insights with partners and suppliers without compromising compliance or performance.

Enterprises such as Walgreens, Bayer, Shell, and Reckitt are already leveraging Databricks to build more agile, sustainable and cost-effective supply chains.

Unlocking the Value of SAP Data With Databricks

For most enterprises, SAP is at the heart of supply chain operations, from inventory management to production planning and logistics. Yet SAP data often remains trapped in silos, making it difficult to combine with external signals like IoT, partner or market data.

Databricks and SAP are changing that. With SAP Databricks, enterprises can seamlessly blend SAP data with external sources, unlocking predictive insights and enabling AI-driven applications that were previously too complex or costly to build. The result is a trusted, real-time view of your supply chain that empowers organizations to anticipate demand, optimize inventory and respond to disruptions faster than ever before.

Ready to Build a Smarter Supply Chain?

Supply chain resilience isn’t a nice-to-have anymore; it’s a competitive advantage. By leveraging data and AI, organizations can turn complexity into clarity, ensuring inventory is optimized, risks are mitigated and operations remain agile in a rapidly changing world.

Building this foundation begins with governed, unified data and extends to AI-powered insights and automation that drive better decisions across every link in the supply chain. Learn from leading enterprises across industries about how they are building smarter supply chains with Databricks.

Read the ebook Streamlined Supply Chains — Managing Inventory With Data and AI to learn how leading companies across retail, manufacturing, energy and healthcare are transforming inventory management with Databricks.

Download the ebook

Read the ebook

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相关标签

供应链 数据 人工智能 Databricks SAP 库存管理 韧性 敏捷性 Supply Chain Data AI Inventory Management Resilience Agility
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