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Demand Planning And Forecasting

Forecast demand using historical data, seasonality, promotions, and market trends for inventory and production planning

Complexity: Complex | Duration: 30m+ | Category: Operations/Process

Tags: #demand-planning #forecasting #inventory-planning #sales-operations #analytics

Workflow Diagram​

Steps​

Step 1: Historical Data Collection​

Agent: data

analyst - Extract sales history, inventory, and promotions

Step 2: Data Cleansing​

Agent: data

scientist - Handle outliers, missing data, and anomalies

Step 3: Seasonality Analysis​

Agent: demand

planner - Identify seasonal patterns and trends

Step 4: Promotional Impact​

Agent: sales

analyst - Model impact of marketing campaigns and promotions

Step 5: External Factors​

Agent: demand

planner - Incorporate market trends, economy, competition

Step 6: Model Selection​

Agent: data

scientist - Choose forecasting method (ARIMA, exponential smoothing, ML)

Step 7: Forecast Generation​

Agent: data

scientist - Generate forecasts with confidence intervals

Step 8: Consensus Review​

Agent: demand

planner - Collaborate with sales and operations for adjustments

Step 9: Accuracy Tracking​

Agent: data

analyst - Compare actuals to forecast and calculate MAPE

Step 10: Continuous Improvement​

Agent: data

scientist - Refine models monthly based on accuracy

Usage​

To execute this workflow:

/workflow operations/process/demand-planning-and-forecasting.workflow

See other workflows in this category for related automation patterns.