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Demand Forecasting Planning Workflow

AI-driven demand forecasting combining historical data, market trends, and external factors for inventory planning.

Complexity: High | Duration: 15-30m | Category: Industry/Transportation Logistics

Tags: demand-planning forecasting ai-ml inventory analytics

Workflow Diagram​

Steps​

Step 1: Aggregate historical sales and​

Aggregate historical sales and shipment data

Step 2: Incorporate market intelligenc​

Incorporate market intelligence and trends

Step 3: Analyze seasonal patterns and​

Analyze seasonal patterns and promotions

Step 4: Factor in economic indicators​

Factor in economic indicators

Step 5: Generate AI/ML demand forecast​

Generate AI/ML demand forecasts

Step 6: Compare against customer forec​

Compare against customer forecasts

Step 7: Reconcile discrepancies​

Reconcile discrepancies

Step 8: Generate inventory recommendat​

Generate inventory recommendations

Step 9: Coordinate with suppliers​

Coordinate with suppliers

Step 10: Monitor forecast accuracy and​

Monitor forecast accuracy and refine models

Usage​

To execute this workflow:

/workflow industry/transportation-logistics/demand-forecasting-planning-workflow.workflow

See other workflows in this category for related automation patterns.