Supply chain demand forecasting

Step-by-Step Breakdown

Detailed explanation of each automated stage in the workflow.

1. 1

   Trigger

   Initiate demand forecasting cycle

   Monthly planning cycle starts or external market data triggers an updated forecast analysis. System begins collecting required data from multiple sources.

   SAPOracle Manufacturing Cloud
2. 2

   Action

   Aggregate historical sales data

   Retrieves and consolidates 12-24 months of historical sales data, seasonal patterns, and product performance metrics. Cleanses data for analysis accuracy.

   SAPEpicor
3. 3

   Action

   Analyze current inventory levels

   Pulls real-time inventory data including stock on hand, work-in-progress, and committed orders. Calculates current inventory velocity and turnover rates.

   FishbowlIQMS
4. 4

   Action

   Process external market indicators

   Incorporates external data such as economic indicators, competitor analysis, and industry trends. Applies machine learning algorithms to identify demand patterns.

   Oracle Manufacturing CloudSAP
5. 5

   Decision

   Evaluate forecast variance threshold

   Compares new forecast against previous predictions and checks if variance exceeds predefined thresholds. Routes high-variance forecasts for manual review.

   SAPEpicor
6. 6

   Action

   Generate production requirements

   Translates approved demand forecast into detailed production schedules and material requirements. Creates purchase recommendations for raw materials and components.

   IQMSOracle Manufacturing Cloud
7. 7

   Output

   Distribute forecast and recommendations

   Automatically sends demand forecasts to production planning, procurement, and sales teams. Updates ERP systems with new planning parameters and generates executive dashboards.

   SAPMasterControl

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