AI has revolutionized demand planning, but its greatest advantage lies in simulation—especially for material shortages. When working with long-lead-time glass laminates or refractory inputs, AI-driven tools allow you to model the downstream impact of supply disruption instantly.
What AI Simulation Can Do
Predict impact on order fulfillment and revenue
Flag SKUs with no approved alternates
Reallocate available materials to highest-margin customers
Suggest PO rescheduling or alternate vendor activation
Forecast customer satisfaction and SLA breach risk
Inputs Required for Effective Simulation
Current inventory levels
Vendor lead times and on-time performance trends
Open orders and forecasted demand
Business rules for customer priority, substitutions, and shipping
Tools to Leverage
Kinaxis RapidResponse
SAP IBP with AI plug-ins
Tools like ToolsGroup, Blue Yonder, or Anaplan
Example Scenario
A specialty glass input from Eastern Europe is delayed by 3 weeks. The AI model:
Maps affected POs across 4 customers
Suggests which customers to delay, expedite, or reroute
Calculates inventory drawdown impact and re-order risk
Sends alerts to procurement and sales teams
Final Word: AI doesn’t replace your judgment—it expands your foresight. In a shortage, simulation is your best decision-making edge.
