Closing the Loop Between Demand and Supply: Feeding Oracle ASCP Planned Orders Back into Oracle Fusion Cloud Demand Management
Closing the loop means an automated integration feeds reviewed supply-planning recommendations and adjusted planned orders from Oracle ASCP back into the Oracle Fusion Cloud Demand Management collaboration workbench. Constrained forecasting then extends the unconstrained commercial forecast with manufacturing and supply constraints, progressively narrowing the gap between commercial demand, the consensus forecast and manufacturing capability.
What does it mean to close the loop between demand and supply?
A consensus forecast brings commercial and planning perspectives together. Closing the loop brings supply and manufacturing realities into the same cycle, so each recurring planning cycle reflects both market intelligence and manufacturing capability.
This article explains Phase 2 of an implementation for a global pharmaceutical and nutrition corporation: how Rapidflow connected Oracle Fusion Cloud Demand Management (Oracle’s product overview) with the company’s existing on-premise Oracle Advanced Supply Chain Planning (ASCP) application.
Why does demand planning need a feedback loop from supply planning?
Commercial demand changes rapidly with customer requirements, market conditions, promotions and other business factors. Manufacturing operations run on relatively rigid schedules and long lead times. Commercial teams focus on market demand and customer requirements, while supply and production teams focus on manufacturing capacity, material availability, production schedules and operational constraints.
Demand planners sit between the two. A feedback loop gives them a structured way to bring the supply and production perspective into each recurring planning cycle.
What does the feedback loop build on?
Phase 1 established the consensus forecast: an AI-enabled statistical baseline, a collaboration workbench, and recurring planning cycles with automated data integrations. Those integrations moved relevant planning data between enterprise systems and Oracle Fusion Cloud Demand Management and reduced manual intervention. They also provided the foundation for Phase 2, where supply-planning recommendations were automatically incorporated back into the demand collaboration process.
How does the supply feedback loop work?
Phase 2 establishes an automated feedback loop between Oracle Fusion Cloud Demand Management and the supply planning environment, including the existing on-premise Oracle ASCP application. The loop works as follows:
- Supply-planning recommendations are reviewed and planned orders are adjusted.
- The automated integration feeds the reviewed recommendations and adjusted planned orders back into the demand collaboration workbench/table.
- The recommendations become part of the demand collaboration process, alongside commercial and planning input.
As part of the integration, Rapidflow also validates the planning data and compares it with the forecast.
What is constrained forecasting?
An unconstrained commercial forecast reflects market demand and customer requirements. Constrained forecasting extends demand planning beyond it by incorporating manufacturing and supply constraints. With supply recommendations flowing back into the workbench, the plan can reflect both sides. The objective of Phase 2 is to progressively reduce the gap between commercial demand, the consensus forecast and manufacturing capability.
What does the closed loop give the planning team?
- One cycle, two views. Commercial demand and manufacturing capability are considered in the same recurring planning cycle.
- Less manual intervention. Automated integrations reduce manual effort in the recurring process.
- A repeatable cadence. Data is refreshed, forecasts are generated, reviewed, collaborated on and finalized on the organization’s planning calendar.
- Progress toward alignment. The gap between commercial demand, the consensus forecast and manufacturing capability narrows progressively.
For the product-level view, see Rapidflow’s Oracle Demand Planning Cloud overview. For the timing and shelf-life side of the story, read our guide to shelf life, lead times and shifting demand.
What did Rapidflow deliver in Phase 2
A leading pharmaceutical and nutrition corporation operates manufacturing plants across the United States, with a distribution network spanning North America, Europe and Asia. Its portfolio covers pharmaceuticals, vitamins, nutritional products and selected white-label and private-label products made for external customers.
That work was backed by end-to-end unit and integration testing, a governance process aligned with industry standards and US company regulations, user acceptance support with user-friendly documentation, production deployment with training and knowledge transfer, and post-go-live support covering demand planning cycle support and optimization and continuous improvement.
The phased approach first established a robust AI-enabled consensus forecasting process and then connected it with supply planning and manufacturing capacity through automated integrations. The result is a scalable foundation for ongoing demand planning, collaborative forecasting, supply alignment and constrained forecasting across a complex global pharmaceutical and nutrition supply chain.
Next step
Planning demand for a pharma or nutrition portfolio in the US or North America? Explore Rapidflow’s Oracle Fusion Cloud Demand Management offering for pharma, healthcare, vitamins and nutritional supplements, or talk to our planning experts.
Frequently Asked Questions
It is an automated integration that returns reviewed supply-planning recommendations and adjusted planned orders to the demand collaboration workbench, so each planning cycle reflects supply and manufacturing realities.
Through an automated integration. Reviewed supply-planning recommendations and adjusted planned orders are fed back into the demand collaboration workbench/table
It extends demand planning beyond an unconstrained commercial forecast by incorporating manufacturing and supply constraints.
Yes. In the reference engagement, automated integrations connected Oracle Fusion Cloud Demand Management with the company's existing on-premise Oracle ASCP application.
The phased approach first established a robust AI-enabled consensus forecasting process. The automated integrations built in Phase 1 then provided the foundation for connecting that process with supply planning and manufacturing capacity in Phase 2.
