Overview

Cosmo Tech’s Supply Chain Vulnerability Scan is an advanced AI-Simulation software add-on that integrates with SAP Integrated Business Planning (IBP) to enhance supply chain resilience. It enables organizations to proactively assess vulnerabilities across strategic, tactical, and operational planning levels by simulating disruptions, stress testing supply chain scenarios, and identifying optimal mitigation strategies. The solution provides end-to-end visibility, decision intelligence, and continuous risk monitoring, helping businesses make faster, more confident decisions to maintain smooth supply chain operations and competitive advantage under uncertainty.

Features and Capabilities

• **AI-Simulation & Scenario Analysis: **Enables automated, goal-seeking simulations that model complex supply chain behaviors, including cascading disruption effects, to anticipate weaknesses and test mitigation strategies.
• **Supply Chain Vulnerability Scanning: **Analyzes SAP IBP data to identify critical vulnerabilities across resources, operations, transportation, suppliers, and network segments before disruptions occur.
• **End-to-End Visibility & Decision Intelligence: **Harmonizes demand, supply, inventory, and S&OP planning views to align strategic, tactical, and operational decisions and detect issues early.
• **Mitigation & Optimization Planning: **Runs thousands of “what-if” scenarios to determine optimal mitigation plans that reduce risk impact and minimize revenue at risk under volatility.
• **Integration with SAP IBP: **Operates as an extension/add-on to SAP Integrated Business Planning, seamlessly connecting simulation intelligence with existing SAP data and workflows.
• **Agility & Resilience: **Builds resilience through stress testing of supply chain configurations and simulated responses to unexpected events, delivering actionable risk insights.
• **Competitive Advantage & Operational Continuity: **Supports high service levels, efficient supply chain configurations, and proactive disruption preparedness to enhance overall operational robustness.