Research

Computational Analytics, Visualization & Education (CAVE) Lab

We turn complex supply chain and logistics data into clear, interactive insights — making analysis and decision-making more intuitive through advanced visualization.
Students gathered in the CAVE Lab.

The MIT CAVE Lab brings complex supply chain and logistics data to life through advanced visualization. This interactive lab empowers students, researchers, and decision-makers to dive into real-time data, gain strategic insights, and solve pressing challenges in supply chain design and logistics planning. Using state-of-the-art methods and tools, the MIT CAVE Lab is transforming how we understand and improve the world’s supply chains. Organizations can engage with the lab through:

  • Interactive decision-making workshops: These sessions enable decision-makers to interactively explore and evaluate supply chain design alternatives, leading to better and more robust strategic design decisions.
  • Collaborative innovation: Partnering with the MIT CAVE Lab fosters knowledge transfer and the development of educational resources, positioning our industry partners at the forefront of supply chain innovation.

Supply chain simulation in the CAVE Lab

CAVE open-source app development framework

You could build your own CAVE Lab. Our open-source framework makes it possible to create intuitive, interactive web applications that turn complex supply chain problems into visual, hands-on experiences—and deploy them on cloud platforms like AWS and Microsoft Azure.

Contact us

Interested in collaborating with us? Reach out.