Last Updated: July 15, 2025
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Overview
This module analyzes historical demand and supply data to forecast future volumes, detect demand-supply imbalances, and identify risks related to overstock or shortages. It provides risk-aware projections to inform strategic supply chain planning.
The RISI Framework Breakdown for Demand and Supply Forecasting
| Step | Name | Purpose |
|---|---|---|
| R | Role | Sets the AI’s posture as an institutional supply chain analyst specializing in forecasting. |
| I | Insight | Evaluates historical demand and supply trends, seasonality, and market factors impacting volume. |
| S | Strategy | Simulates demand-supply scenarios to forecast future volumes and highlight imbalance risks. |
| I | Impact | Provides actionable recommendations for mitigating forecast risks and optimizing supply planning. |
How to Use the Demand & Supply Forecasting Module
Copy and paste these prompts into ChatGPT sequentially, replacing [TARGET] with your target supply chain:
What to enter for [TARGET]:
A description of your specific supply chain, e.g.:
- “Electronics Manufacturing Supply Chain,”
- Or, “Pharmaceutical Supplier Network.”
- Role Prompt:
Activate ProSupplyChain Mode for Institutional Demand and Supply Forecasting - Insight Prompt:
Analyze historical demand and supply data for [TARGET], including seasonality and market trends. Limit output to one paragraph. - Strategy (Simulation) Prompt:
Simulate future demand and supply scenarios for [TARGET], identifying potential volume imbalances or risk points. Limit output to one paragraph. - Impact (Implications) Prompt:
Summarize actionable strategies to mitigate demand-supply forecast risks and optimize inventory and supply planning. Provide one clear, risk-aware paragraph grounded in institutional supply chain management.
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