Get better results faster by planning your supply chain end-to-end in the cloud. Effortlessly combine demand insights, supply constraints, and stakeholder input, and apply built-in machine learning to improve profitability while accelerating customer service.
See why IDC ranks Oracle as a leader in Cloud Supply Chain Planning.
Three customers share how they've been able to improve forecast accuracy, cut costs, and innovate with Oracle Cloud supply chain planning solutions.
Explore how you can achieve better results, faster with fully integrated end-to-end supply chain planning.
Leverage embedded analytics, guided problem resolution, and intelligent recommendations to increase productivity.
Manage strategic and tactical planning processes in an intelligent, integrated end-to-end planning system.
Automate decision-making with confidence. Turn machine learning predictions into consistent, cause-and-effect responses.
IDC explores how improving agility and visibility can be key drivers of improving supply chain resilience.
Next-generation demand management incorporating replenishment planning, segmentation capabilities, new product introduction, and machine learning for planners.
Transform qualitative and quantitative signals from diverse sources into business insights.
Dynamically group items, locations, and customers with similar behavior into segments that share a demand profile.
Use machine learning to generate more accurate forecasts, while measuring and tracking the root cause of forecast error.
Analyze the cause and effect of seasonality, promotional events, product attributes, and leading indicators to make adjustments to inventory.
Simulate forecast scenarios, collaborate with stakeholders, and manage new product introductions to improve business performance.
Track changes, monitor exceptions, and synchronize with S&OP and supply plans to ensure a well-functioning process.
Make replenishment planning easy and effective. Drive more accurate fulfillment with tailored inventory policies and consumption rules to demand segments.
Integrate demand-driven consumption, inventory and fulfillment to meet customer-specific requirements.
Forecast demand to anticipate seasonal, trend, and event-based changes and keep supply within inventory thresholds.
Automatically assign inventory policies to groups of item locations that have similar replenishment requirements.
Select and compare the effect of different inventory policy parameters on stockouts, overstocks, and inventory costs.
Graphically simulate and adjust the replenishment strategy for individual items and locations to improve performance.
Calculate replenishment requirements and release of planned orders automatically as consumption occurs.
Identify and execute the best supply to demand plans. Plan items across multi-tier locations, identify and address the most important problems, and simulate potential responses to optimize customer service and the cost of inventory.
Balance demand and supply, optimize inventory for service and cost, and plan for multiple material and capacity scenarios.
Plan process, discrete, project-driven, configure-to-order, and outsourced production, as well as drop-ship and back-to-back fulfillment.
Use embedded analytics to review impact on KPIs, such as margin and turns, and navigate to focus on problem areas.
Review and collaborate on planned supply order changes with internal and external stakeholders. Utilize built-in machine learning or integration to IoT systems.
Schedule production during the day to maximize use of bottleneck resources and available components. Reduce work in process inventory, waste, and expedites. Visualize how work order operations are allocated to resources. Drag and drop to simulate the best response to issues or changes, and release schedules for execution in real time.
Use real-time resource availability and work orders in Oracle Cloud Manufacturing to create feasible schedules that take the latest material, capacity, and calendar constraints into account.
Increase throughput and asset utilization with schedules that make efficient changeovers based on your industry attributes, minimizing idle time.
Schedule work order operations with your desired attribute sequence to maximize the efficiency of your production lines. Reduce bottlenecks by offloading to alternate resources.
Easily inspect schedules and analyze production issues in a visual Gantt chart. Make drag and drop adjustments and edit dispatch lists as necessary. Run quick, in-line simulations and what-ifs to resolve issues.
Run and repair schedules dynamically to deal with unexpected machine outages, labor shortages, material delays, and changes in order priorities. Release adjusted schedules as needed during the day for instant shop floor execution.
Evaluate how your factory is scheduled at a glance, with interactive analytics that reveal insights about changeover time, resource utilization, and late orders.
Prioritize your open orders to reduce delivery delays, increase sales, or achieve margin targets when supply or demand changes. Simulate multiple fulfillment alternatives, and select those that best meet your business objectives.
Use available supply to schedule new orders and reduce delays while respecting existing promise dates.
Prioritize orders in the backlog using flexible business rules that maximize order revenue, margin, and service.
Model what-if changes to sourcing, transit mode, and shipping constraints to respond quickly and find the best solutions.
Simulate the scheduling and availability impact of a potential order on the rest of the backlog.
Align business plans and operations across your sales, marketing, finance, and supply chain organizations. Build agility into your operations to orchestrate change across your organization and balance demand and supply for the best possible outcomes.
Leverage built-in, integrated business planning processes and collaborative tools to drive consensus among stakeholders.
Balance aggregate supply and demand by modeling and comparing alternative constrained planning scenarios.
Gain insight from personalized, KPI-driven dashboards to support revenue growth and cost management tradeoff decisions.
Quickly aggregate and disaggregate demand and supply plans to optimize utilization and investment decisions.
Transform plans into execution and monitor activity to detect unexpected events using IoT, AI and prescriptive analytics. Simulate and evaluate alternative response to maintain or improve business targets.
Leverage real-time planning and execution details to act on negative trends faster and more effectively.
Improve your short- and long-range strategic planning by seamlessly integrating planning and execution into a single data model.
A unified data model providing a single view for all participants. Use advanced analytics to provide business outcome projections, simplifying business complexity and enabling managers to make timely decisions.
Collaborate on supply and negotiate forecast commitments with strategic suppliers and contract manufacturers. Resolve issues before they become customer service problems.
Share order forecasts with suppliers, review their changes, and integrate them into your supply planning processes.
Manage the end-to-end process of negotiating supplier commitments and enforcing service-level agreements.
Allow suppliers to trigger orders and confirm shipments for their consigned and unconsigned materials at your sites.
Automatically update contract manufacturing work order status based on the outsourced production progress.
Offer suppliers easy, interactive access to collaboration and visibility processes through the supplier portal.
Capture on hand, on order, and in transit supply from contract manufacturers and suppliers to enhance supply plans.
Get better visibility to upstream supply internally and with strategic suppliers and contract manufacturers. Get early warnings to mismatched expectations and leverage available supplier capacity in your supply plans.
Use Oracle Transactional Business Intelligence (OTBI) to analyze and report on the real-time status your supply chain.
Visualize the overall performance of your global supply chain in Oracle Fusion Analytics Warehouse.
Get programmatic access to the real-time status of Oracle Supply Chain Management Cloud transactions via REST services.
Extend visibility into the future by applying predictive analytics to Internet of Things supply chain signals.
Capture and visualize the choreography of supply chain transactions in a blockchain-based digital ledger.
Align supply chain operations and customer needs using best practices for processes, features, analytics, and emerging tech.
With modern UI and guided resolution, you can focus on core planning tasks and resolving problems—not data management.
Devise growth strategies and leverage AI learning to anticipate problems.
Perform context-driven, configurable at-risk analysis.
Supply Chain Planning built on an infrastructure with decades of use cases in data management and integration.
Tom McDonough, Sr. Director, Product Marketing, Supply Chain Planning, Oracle
Product innovation is often thought of and reported on a grand scale or very specifically related to a new product feature. As an example, we know quite a bit about the introduction of the Apple iPhone in 2007 and how that has transformed our everyday lives.Read the full article
Review readiness material to learn what's new in your Cloud Supply Chain Planning service and plan for quarterly updates.
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