Last-mile logistics data can be difficult to visualize and analyze. The CAVE Lab https://cave.mit.edu uses interactive visualization to improve data visibility, data analysis, and decision making for last-mile logistics challenges.
Complex data can be difficult to visualize and analyze. Working in cross-functional teams also adds a layer of complexity to making decisions from big data analysis. The CAVE Lab uses interactive visualization to improve data visibility, data analysis, and decision making for supply chain and logistics challenges.
Based on a newly created physical lab space at MIT CTL equipped with state-of-the-art visualization technology, the lab is developing interactive visual interfaces to data and analytical tools, addressing complex supply chain and logistics problems.
The MIT CAVE Lab uses interactive visualization to improve data visibility, data analysis, and decision making for supply chain and logistics challenges.