Advancing Logistics through Open-Source AI Innovation

(UNDER CONSTRUCTION)

The Purdue University AI Logistics platform is a collaborative, open-source initiative that leverages artificial intelligence and machine learning to address complex supply chain management challenges.

Our Mission

To democratize advanced logistics intelligence through open-source AI solutions that empower organizations of all sizes to optimize operations, reduce environmental impact, and build resilient supply chains.

GitHub Explore Features

Key Features

Our innovative AI logistics platform combines advanced algorithms with practical applications to transform supply chain operations.

📊

Predictive Analytics

Harness the power of deep learning to forecast demand, optimize inventory levels, and reduce operational costs.

🔮

Predictive Optimization

Predictive routing algorithms that can adapt to changing conditions, traffic patterns, and potential delivery constraints.

🔄

Automated Decision-Making

Reinforcement learning models that continuously improve decision-making processes for warehouse operations and fleet management.

📱

Seamless Integration

Open API architecture designed to integrate with existing ERP systems, IoT devices, and supply chain management software.

🛡️

Robust Security

Enterprise-grade security protocols protecting sensitive data while maintaining operational transparency.

📈

Scalable Performance

Cloud-native architecture designed to scale from small businesses to enterprise-level operations without compromising performance.

Industry Applications

Discover how our AI logistics platform is transforming operations across various industries.

Manufacturing Logistics

Manufacturing & Distribution

Optimize production schedules and inventory management with demand forecasting models that reduce waste and improve efficiency.

Learn More
Retail Logistics

Retail & E-commerce

Enhance customer satisfaction through optimized last-mile delivery, intelligent warehouse management, and accurate demand prediction.

Learn More
Healthcare Logistics

Healthcare & Pharmaceuticals

Ensure critical medical supplies and pharmaceuticals reach their destinations through temperature-controlled, time-sensitive logistics optimization.

Learn More

Our Impact

Measurable results achieved through our innovative AI logistics solutions.

25+

Industry Partners

17%

Average Cost Reduction

32%

Efficiency Improvement

12M+

Routes Optimized

Research & Development

Our team is at the forefront of AI logistics research, publishing groundbreaking papers and developing innovative solutions.

Hypergraph Neural Networks for Logistics

Leveraging Hypergraph GNNs to model complex resource allocation relationships and identify robust optimization opportunities.

Read Paper

Causality-Driven Neural Algorithmic Reasoning

Creating resilient logistics networks that maintain performance despite disruptions and unexpected events.

Read Paper

Our Team

Meet the researchers and engineers behind Purdue's AI Logistics platform.

Team Member

Prof. Mohit Tawarmalani

Principal Investigator

Specializes is renowned for his expertise in optimization, particularly focusing on mixed-integer nonlinear programming (MINLP). His research focuses into the development of advanced algorithms and computational tools to solve complex optimization problems arising in various fields, including logistics, economics, and data science.

Team Member

Prof. Bruno Ribeiro

Principal Investigator

Specializes is renowned for his expertise in machine learning, particularly exploring the intersection of machine learning, causality, and network analysis to develop algorithms that can model and predict interventions on complex systems and extract meaningful insights from structured and relational data.

Team Member

Gabriel Buginga

PhD students @ Department of Computer Science at Purdue university. Focuses in machine learning and neural network architectures for simulations on networked data.

Team Member

Abhishek Baskar

BAIM student @ Daniels School of Business and Krannert Scholar. Focuses on predictive analytics and simulations for logistics applications.

Ready to Help Transform Logistics?

Please help contributing to our open-source project.

Get Started