Inspiration
Our journey began at the intersection of industrial logic and the unpredictable nature of global politics. As engineers with a specialized background in Discrete Event Simulation (DES) for factories and services, we spent countless hours modeling the intricate "heartbeat" of production lines. However, we quickly realized a glaring vulnerability: you can optimize every millisecond of a machine's cycle, but the entire system remains a house of cards if a geopolitical shift or a distant conflict halts the flow of a single critical component. Combining this realization with our core expertise in Artificial Intelligence and Machine Learning, we identified a massive gap in how companies handle external risk. Most procurement teams are reactive, discovering a supply chain break only when the ship fails to dock.
What it does
We are here to change that narrative by building a platform that transforms "geopolitical noise" into actionable manufacturing intelligence. The inspiration for this project comes from the desire to give supply chain managers a "probabilistic shield."
How pretend to built it
During this hackathon, we aim to build a system where a user inputs their Bill of Materials (BOM) and manufacturer locations to receive an instantaneous risk assessment based on real-time conflict data and geopolitical stability. We aren't just looking at news headlines; we are applying the same rigorous logic found in Discrete Event Simulation to the global movement of goods. By calculating a dynamic Risk Index \(R_i\), we can quantify the likelihood of disruption:$$R_i = \int_{t_0}^{t_n} (P_{conflict}(t) \times W_{impact}) dt$$Where $P_{conflict}$ represents the time-sensitive probability of regional instability and \(W_{impact}\) is the weighted importance of the specific component to the final product.
Our Vision
Our vision is to evolve this into a comprehensive B2B SaaS solution that integrates directly with current inventories and production rates. We want to enable "What-if" scenarios—allowing a company to simulate the impact of a border closure or a raw material shortage before it happens, calculating their "Time-to-Survive" with mathematical precision. We are building this because we have the data analysis tools to see the patterns and the engineering mindset to simulate the consequences. We aren't just predicting problems; we are providing the roadmap to navigate them through a tiered subscription model designed to scale from small local assemblies to massive industrial operations. This hackathon is where we turn our expertise in complex systems into a resilient future for global trade.
Built With
- claude
- css3
- next.js
- perplexityapi
- supabase
- typescript
Log in or sign up for Devpost to join the conversation.