Last-mile logistics data can be difficult to visualize and analyze. The CAVE Lab https://cave-mit-edu.ezproxy.canberra.edu.au uses interactive visualization to improve data visibility, data analysis, and decision making for last-mile logistics challenges.
Together with MIT CTL’s corporate partners, the CAVE serves as an interactive decision-making space. By co-developing interactive visual analytics applications addressing specific, data-driven decision problems of our partners and presenting them in a way that optimally leverages human perception and cognition, we promote the effective future use of data and analytics by corporate and organizational decision-makers at all levels.