Digital Supply Chain Reference Architecture for Manufacturing

Establish your digital supply chain foundation for real-time visibility, natural language what if scenario planning, and AI agents automated quoting and supplier capability assessment

Data and platform flows:

1. ERP, WMS, TMS, news, email, and market data collected from on-premises and cloud-native data stores using Lakeflow Connect, Data Sharing (also via Marketplace), and Lakehouse Federation.
   1. Partners
      1. SAP Databricks documentation
      2. Kinaxis Partners With Databricks to Accelerate AI-Powered Supply Chain Orchestration
      3. Solving global trade challenges across the supply chain with Altana and Databricks
   2. Databricks Marketplace Data Providers
      1. S&P Global Market Intelligence
      2. Moody's
2. Data is ingested via Lakeflow Connect into the medallion architecture bronze layer alongside metadata, leveraging efficient incremental reads and writes to make data ingestion faster, scalable, and more cost-efficient, while your data remains fresh for downstream consumption. Additionally, state-of-the-art document intelligence capabilities extract supply chain context from purchase orders, invoices, and other documents trapped in PDFs into a semantic layer used in Unity Catalog metric views which provide a centralized way to define and manage consistent, reusable, and governed core supply chain metrics.
3. Clean and enrich heterogeneous data scalably using Declarative Pipelines for both batch and streaming data pipelines into Silver tables (sales, supply, production, fulfillment). Silver tables are often used as training inputs to AI models for predicting part-level demand forecasting, supplier risk scoring, and multi-echelon inventory optimization, thereby accelerating supply chain planning cycles able to scale across millions of SKUs.
4. For business intelligence and reporting, data is aggregated within Gold tables to support real-time analysis of supply chain performance in natural language, including supplier scorecards, availability to promise, what if analysis, sales & operations planning review interrogation, and inventory allocation & turnover. Additionally, applications enable fast and secure ways to build data and AI applications to improve productivity of supply chain workflows like digital twins for supply chain simulation, real-time routing optimization, and inventory re-allocation recommendations.
5. Agent Bricks provides a simple approach to build and optimize domain-specific, high-quality AI agent systems, such as automated quoting, supplier capability assessments, stock replenishment planning, and other supply chain processes customized to your unique data and semantics quickly and easily. 

Benefits

Databricks empowers organizations to revolutionize their supply chains through a unified data intelligence platform. By combining multimodal AI capabilities with Agent Bricks, seamless data collaboration with Delta Sharing, and unified governance with Unity Catalog, Databricks eliminates silos and enables real-time, AI-driven decision-making. Databricks makes supply chain data accessible through natural language querying with AI/BI and advanced Generative AI Agent tools and apps to empower all supply chain user personas. This holistic approach not only enhances operational efficiency and reduces costs but also fosters innovation across the entire supply chain ecosystem. Databricks is the catalyst for transforming traditional supply chains into agile, intelligent networks that drive competitive advantage in today's dynamic business landscape.