Skip to main content
R

ResilienceXAI

ResilienceXAI offers an AI‑driven simulation platform that lets supply‑chain professionals model detailed disruption scenarios and view quantitative resilience metrics such as Time‑to‑Recovery and Area of Loss. The tool replaces manual spreadsheets with an interactive dashboard for real‑time decision analytics, and includes gamified and research modes for educators and scholars.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Supply chain managers often rely on static spreadsheets and limited scenario analysis, which makes it difficult to anticipate complex disruptions and evaluate the effectiveness of resilience strategies in real time.

Solution

ResilienceXAI provides an AI‑driven simulation platform that lets users model detailed disruption scenarios across transportation lanes, regions, and operational factors. The platform generates quantitative metrics such as Time‑to‑Recovery (TTR) and Area of Loss, enabling teams to compare response options and align on crisis‑management decisions. By replacing manual spreadsheets with interactive decision analytics, the tool supports both educational gamified experiences for students and advanced research workflows for educators, allowing extraction of structured data for curriculum development and scholarly analysis. The AI augmentation accelerates scenario generation and outcome prediction, creating a safe “flight simulator” environment where strategies can be crash‑tested before real‑world events occur.

Target Audience

Primary users are supply‑chain professionals, logistics educators, and academic researchers who need to test and teach resilience strategies under realistic disruption conditions.

Features

  • Scenario modeling engine that creates hyper‑specific disruptions, from minor labor delays to global network shutdowns, across multiple supply‑chain lanes and regions
  • Decision‑analytics dashboard displaying Time‑to‑Recovery and Area of Loss metrics to quantify resilience performance
  • Gamified “Play Mode” for students, featuring interactive logistics challenges with a virtual avatar navigating port strikes and hurricanes
  • “Pro Mode” tools for educators and researchers, including data export, curriculum generation, and integrated academic literature search
  • AI‑augmented simulation core that rapidly generates and evaluates numerous disruption scenarios without manual spreadsheet calculations
This profile is AI-generated and may contain inaccuracies.