By Matt Garibaldi, Head of Product Strategy, Fusion AI Data Platform, and Christine Schultz, Pre-Sales Solution Engineer, recently recognized as Oracle’s AI Pioneer of the Month
Why this matters now
Over the years, supply chain teams have chased the same outcomes: cost, service, resilience. They were armed with spreadsheets, batched extracts, and month‑end fire drills. The goals haven’t changed but the stakes have. Global interdependence and compressed cycles mean the real competition isn’t the company across town, it’s the company that gets AI right, fast. Many leaders are already investing and pulling away.
If you run Oracle Fusion Cloud SCM, you’ve standardized processes and embedded AI in your daily work. The next advantage is a true command center: unifying trusted SCM signals with finance, sales, service, and external data so you can sense, simulate, and decide in real time. Powered by the Oracle Fusion AI Data Platform, this curated and governed data foundation can turn operational SCM data into enterprise AI outcomes.
The reality today
This perspective comes from working with supply chain leaders around the world using Oracle Fusion Cloud SCM. If you chose Oracle Fusion Cloud SCM, you have standardized processes and lowered IT TCO. You are also seeing a step-change in productivity from embedded AI agents across transportation, planning, manufacturing, maintenance, procurement, and inventory.
A stubborn bottleneck still stands between smart workflows and true enterprise AI:
- Curated and trustworthy data for AI is slow and expensive to build beyond transactional systems
- Manual data extracts create latency and silos
- New AI efforts risk becoming new AI silos that can’t scale beyond one application
At the same time, boards want AI that looks across all enterprise signals. SCM must connect with finance, sales, service, and external data. The questions are simple to ask but hard to answer: Why did this happen? What will happen next? What should we do now?
Going beyond the embedded
Imagine a Supply Chain Command Center that unifies Fusion SCM signals, applies embedded AI models and agents, and ships with thousands of packaged analytics. Now, imagine that same environment enabling you to extend curated pipelines and data models to your broader enterprise AI landscape. That’s the power of Oracle Fusion AI Data platform. It’s built to convert operational SCM Cloud data into actionable AI with speed and trust.
What the solution includes
1) Curated data that’s ready for AI
Fusion AI Data Platform delivers governed data models and prebuilt pipelines for Oracle Cloud SCM, so your teams don’t have to start from zero. The result is faster time to value and higher confidence in decisions.
2) Packaged analytics where you work
Supply chain personas have access to a rich library of KPIs and command center experiences, designed to support scenario-based decisions and recommended actions.
3) Embedded AI insight agents across SCM
Context-aware AI agents guide users through exceptions, quality issues, and process advisory tasks. Routine work is accelerated and decision quality can improve. These agents are designed to complement the automation already built into the SCM suite.
4) Extend beyond transactions to enterprise AI
The curated data foundation sits on an open and interoperable AI platform. You can keep Fusion SCM data in Oracle or publish it to your existing cloud data lake with open table formats such as Apache Iceberg and with direct publishing. You can fine-tune LLMs, train ML models, and build custom agents without duplicating pipelines. We favor Oracle for cost effectiveness and security, but we also recognize that many customers have existing cloud investments, and we meet you where you are.
5) Proven at scale
Many Enterprises across the globe like Grupo Bimbo [YHR1] are using Oracle Fusion Applications with analytics and AI to understand demand patterns and improve forecasts. The common thread is a high-value data foundation that helps turns signals into outcomes.
Architecture in practice
Many teams try to jump from raw application data to AI, often resulting in fragile pipelines, explainability gaps, and governance risk. A better pattern is the medallion approach with bronze, silver, and gold layers. Each step improves structure and quality before analytics and AI are applied. Fusion AI Data Platform operationalizes this pattern for Fusion SCM, enabling data scientists and application teams to build on trusted gold data rather than reinventing it.
From there, you have two paths for extensibility:
- All in on Oracle
Use Autonomous AI Lakehouse, AI Database 26ai, and the AI Data Platform for open and multicloud analytics, vector search, and secure in-place model customization. You avoid massive data movement and maintain governance. - Bring your own lake
Publish curated Fusion SCM data to other clouds with open formats. Train models and compose agents next to your non-Oracle data without rebuilding the plumbing.
Either path aligns with the direction of the market. Oracle Cloud Infrastructure (OCI) is built for AI workloads and provides price performance headroom as adoption grows.
The outcome
With Oracle Fusion AI Data Platform, leaders are enabled to move from manual firefighting to proactive orchestration:
- Sense and simulate
Detect risks across demand, supply, and operations. Run simulations. Receive explainable and prescriptive recommendations within the tools your teams already use. - Decide and automate
Turn recommendations into workflows with embedded AI agents, and track business impact with packaged analytics. - Scale enterprise AI
Reuse the same curated Fusion SCM data to train ML models, fine-tune LLMs, and build custom agents that span finance, sales, and service— all without duplicating pipelines.
A short field guide to get started
- Pick high-leverage scenarios such as forecast accuracy, supplier risk, and inventory optimization. Start where packaged content exists so you can show value in weeks, not months.
- Anchor on curated Fusion data and avoid net new pipelines unless necessary. Map each scenario to bronze, silver, and gold layers. Set service levels and lineage to ensure results are trusted.
- Thread embedded and enterprise AI by using SCM AI agents for in-process guidance, while publishing curated data to your lake or lakehouse for cross-functional models and agents.
- Close the loop by instrumenting outcomes in Fusion AI Data Platform, ensuring every AI recommendation is tied to a measurable business result.
Ready to experience the next level of supply chain intelligence?
Join the Fusion AI Data Platform Innovation Sprint Trial and see how you can transform your Oracle Cloud SCM data into actionable AI. Stand up your Supply Chain Command Center, explore curated pipelines, and test-drive the latest AI-powered features—at no cost.
Start your Innovation Sprint Trial today.