Today's supply chains are more global, complex, and volatile than ever. To increase revenue and reduce costs, you need future-ready supply chain planning that's fast, simple, and intelligent. Oracle Supply Chain Planning gives you better ways to anticipate demand, manage supply, and align stakeholder and trading partner actions with your objectives.
Effective enterprises create integrated business plans to align strategic finance and operations. Oracle Fusion Cloud Sales and Operations Planning translates CFO revenue, margin, and cost objectives into corresponding global supply chain plans. Its aggregate planning capability identifies opportunities to evolve the product mix, sourcing, production, and distribution strategies to achieve profitability and growth targets.
Key stakeholders must contribute, collaborate, and come to consensus on goal-congruent, connected product, financial, sales, marketing, supply chain, and workforce plans. Best-practice planning stages and workflows guide users through tasks, allowing them to track milestones and overall progress.
Embedded AI agents help planners save time and gain confidence in their decisions. They provide enterprise-specific planning process advice, as well as analysis of new item demand, supply disruptions, lead time deviations, stale parameter settings, and configuration errors.
Oracle Supply Chain Planning continuously bridges the gap between strategic plans and sales and operations execution (S&OE). You can deploy integrated business planning (IBP) consensus forecasts as the baseline for more granular tactical forecasts in Oracle Fusion Cloud Demand Management, as well as for tactical supply plans in Oracle Fusion Cloud Supply Planning.
Oracle Demand Management can combine enterprise demand, such as orders and shipments, with weather, economic, social, and other external data signals to enhance demand sensing. It also decomposes demand into baseline, trend, seasonal, and event-based components so you can understand what's driving the forecast.
Oracle Demand Management uses Bayesian blending and other machine learning techniques to predict demand more accurately. It adapts to handle short-lifecycle, intermittent, seasonal, promotional, and configured items. It also automatically detects outliers, fills data gaps, and fine-tunes targeted parameters to minimize forecast error.
Oracle Demand Management can automate demand-driven, time-phased replenishment processes across a multi-echelon network of stores, depots, and other regularly stocked locations. It also replenishes periodic automated replenishment (PAR) locations in clinical settings. You can quickly resolve stockouts and other inventory exceptions interactively through graphical simulation. You can also consolidate purchases to achieve price breaks and reduce logistics costs.
Demand patterns and inventory objectives can vary widely among replenishment locations. Using Oracle's replenishment planning features, you can divide your business into dynamic, rule-based segments with independent policies. Flexible segment criteria can include cost, volume, volatility, and many other attributes.
Oracle Supply Planning determines the inventory, capacity, and material supply required to meet demand, including drop shipments, back-to-back orders, and contract-manufactured items. It also highlights exceptions such as demand compression, material shortages, and resource overloads that can put demand at risk. As you choose from proposed expediting actions, capacity increases, and other interventions, you can see their financial and customer service impact.
Hybrid constraint-based planning automatically evaluates ways to prevent constraint violations while recommending ways to fulfill demands on time. The solution evaluates options such as building ahead of time, alternate resources, substitutes, and alternate suppliers to help you overcome material and capacity constraints. You can set inviolable capacity constraints for some resources and suppliers while allowing others to be overloaded if there’s no alternative.
Planning processes and objectives differ dramatically by industry. Whether your focus is on wholesale distribution, mixed-mode manufacturing, engineer-to-order, project-based, or clinical supply chains, Oracle Supply Chain Planning adjusts to meet your needs. Attribute-based planning matches demand with supplies based on the minimum grade, country of origin, project, and other flexible criteria.
Oracle Supply Planning schedules production during the day to maximize use of bottleneck resources, increase factory throughput, and improve delivery performance. It proactively adjusts the sequence and timing of jobs in the factory in sync with real-time shop floor events, reducing changeovers, inventory, waste, and expedites.
Oracle Supply Planning's backlog management features help you prioritize and reschedule your open sales orders when items are on allocation or supply availability changes. Simulate alternate scenarios and change sourcing, expedite transportation, or split lines to reduce delivery delays, increase sales, or preserve margins.
In today's globally distributed supply chains, it's essential to synchronize your plans with customers, contract manufacturers, and suppliers. Oracle Fusion Cloud Supply Chain Collaboration provides visibility into downstream demand and upstream supply commitments, alerting you to any mismatches. With advance warning, you can collaborate across multiple supply chain tiers to facilitate alignment from end to end.
Oracle Supply Chain Planning is a critical component of your overall supply chain management ecosystem. Planning insights and machine learning models drive manufacturing, inventory, transportation, and procurement actions so you can respond appropriately to issues across your supply chain network.