How to Simulate Supply Chain Disruption Scenarios Without Code
The Danger of Relying on Historical Data
Most teams plan for Supply Chain Disruption by looking at what happened last year. But the future rarely looks like the past. relying solely on historical data leaves you vulnerable to stockouts during peak season.
You need to know what could happen, not just what did happen.
Enter the Synthetic Scenario Builder
Data analysis is shifting from "descriptive" (looking back) to "generative" (looking forward). With Datastripes, you can use our Synthetic Scenario Builder to create realistic Supply Chain Disruption models in a visual, no-code environment.
The Simulation: Model a 2-week supplier delay
Instead of testing risky strategies on real customers, you generate a synthetic dataset.
- Define Variables: Drag and drop nodes to represent shipping delays.
- Inject Chaos: Introduce variability (e.g., standard deviations, random spikes) to make the simulation realistic.
- Run the Flow: Watch how your KPIs react in real-time.
The Result: adjust inventory safety stock before the crisis hits
By running this generative scenario, you can adjust inventory safety stock before the crisis hits. You bridge the gap between data analysis and data engineering. You don't need a data scientist to write a Python script for Monte Carlo simulations; you just build the flow visually.
Future-Proof Your Strategy
Don't wait for reality to hit you. Model it first. Build your Supply Chain Disruption simulation today with Datastripes.