Case Study

From Baseline to Consensus Forecast: AI-Enabled Demand Planning for Pharma and Nutrition Manufacturers

From Baseline to Consensus Forecast: AI-Enabled Demand Planning for Pharma and Nutrition Manufacturers

Overview

  • A US-based pharmaceutical and nutrition corporation set out to strengthen demand planning across a broad and diverse product portfolio, with Demand Planners, Sales, Marketing, and Production teams collaborating on a consensus forecast.
  • Oracle Fusion Cloud Demand Management offered AI-enabled forecasting and collaboration capabilities on a common platform, including white-label and private-label SKUs, all Demand Classes, and custom product hierarchies.
  • The organization partnered with Rapidflow to implement and support the solution in two phases, first establishing the consensus forecast and then connecting demand planning with supply and manufacturing through integration with its existing supply planning environment. The solution also includes monthly or ad-hoc forecast publishing and supply feedback for constrained forecasting.

Environment

Oracle Fusion Cloud Demand Management
Demand Planning and Collaboration
AI-Based Collaborative Forecasting
Consensus Forecasting
Oracle ASCP Supply Planning Integration
Supply Feedback for Constrained Forecasting
Automated Monthly Demand Planning Cycles

Explore how Rapidflow’s Oracle Fusion Cloud Demand Management solution moved a US-based pharmaceutical and nutrition manufacturer from Excel-based planning to cloud-based, AI-enabled, collaborative forecasting, with automated planning cycles and demand planning connected with supply and manufacturing.

Frequently Asked Questions

A US-based pharmaceutical and nutrition corporation wanted to strengthen forecast accuracy across a broad, diverse product portfolio with fast-changing commercial demand. It also wanted to plan white-label and private-label vitamin SKUs on one common platform and bridge the gap between commercial sales and factory supply teams, who often planned from different perspectives.

Rapidflow implemented and supports Oracle Fusion Cloud Demand Management for demand planning and collaboration. It was delivered in two phases: AI-based collaborative forecasting to establish a consensus forecast, then connecting demand planning with supply and manufacturing through integrations with the client’s existing Oracle ASCP supply planning system and other legacy systems.

The client moved from Excel-based planning to cloud-based, AI-enabled, collaborative forecasting involving Demand Planners, Sales, Marketing, and Production teams. It now runs automated, seamlessly integrated monthly planning cycles. White-label SKUs, all Demand Classes, and custom product hierarchies are included in the forecasting process.

It is relevant to supply chain, demand planning, sales, and manufacturing leaders at pharmaceutical, vitamin, and nutritional supplement manufacturers. It is especially useful for organizations that plan white-label or private-label products, are moving from spreadsheet-based forecasting, or want to connect demand planning with supply planning in Oracle.

Phase one offered collaborative forecasting to establish a consensus forecast using Oracle AI-based forecasting algorithms. Phase two connected demand planning with supply and manufacturing, using supply feedback to support constrained forecasting. The solution also includes automated monthly demand planning cycles with the capability of monthly or ad-hoc forecast publishing.

Yes. Rapidflow implements and supports Oracle Fusion Cloud Demand Management for pharmaceutical, healthcare, vitamin, and nutritional supplement manufacturers across the US and North America. This includes AI-enabled forecasting, consensus planning, and integration with Oracle supply planning. Organizations can reach out through Rapidflow’s Consult Us page.

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