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Built-in analytics and AI-powered decision-making position Oracle Fusion Cloud Supply Chain Planning at the forefront of SaaS supply chain planning solutions

AUSTIN, Texas, May 16, 2025 /PRNewswire/ -- Oracle has been named a Leader in the 2025 Gartner® Magic Quadrant™ for Supply Chain Planning Solutions. For the third year in a row, Oracle was recognized based on its Ability to Execute and Completeness of Vision for Oracle Fusion Cloud Supply Chain Planning. A copy of the report is available here.

"Today's planners need enhanced decision intelligence to navigate volatile demand, frequent disruptions, and growing supply chain complexity," said Vikash Goyal, vice president, product strategy, supply chain planning and execution, Oracle. "Oracle Supply Chain Planning combines real-time analytics, data science, and generative AI innovations to help our customers anticipate change and devise responses to gain advantage. We believe our position as a Leader in this report highlights our ongoing investment in AI and industry-specific planning capabilities, as well as our long-standing commitment to customer success."

Part of Oracle Fusion Cloud Supply Chain & Manufacturing (SCM), Oracle Supply Chain Planning leverages built-in analytics and AI-powered capabilities to help organizations predict demand, manage supply, and streamline stakeholder and trading partner actions. With Oracle Supply Chain Planning, organizations can:

• Strengthen demand-driven strategies: Machine learning capabilities help organizations improve forecast accuracy by combining enterprise demand signals, such as orders and shipments, with external data like weather, economic, and social signals. Planners can also leverage demand insights to segment their supply chain, implement demand-driven inventory and fulfillment policies, and automate replenishment.

• Improve supply chain decision making: An intelligent planning advisor helps organizations proactively respond to disruptions by alerting planners to systematic lead time deviations, forecast errors, configuration issues, and other problems. Planners can also engage with AI agents to get enterprise-specific guidance on planning policies and process details.

• Build a resilient, responsive supply chain: Real-time analysis of production activity helps organizations meet demand by enabling them to determine the best deployment of inventory, capacity, and material supply. Planners can also strategically prioritize and reschedule their open sales order backlog.

• Enhance supply chain visibility and collaboration: A unified platform helps organizations achieve greater collaboration across supply chain networks by increasing visibility across multiple tiers of customers, enterprise locations, manufacturers, and suppliers. Planners can also better orchestrate supply and demand across the network by leveraging built-in supplier-managed inventory, demand collaboration, and order forecast collaboration processes.

• Shape business outcomes: Integrated business planning helps organizations drive enterprise-wide alignment by translating revenue, margin, and cost objectives into consensus plans. Planners can also leverage intuitive analytics to improve scenario planning and identify alternative strategies for a range of expected outcomes.