 The problems in this lab are very hard problems that people have been trying to tackle for years. There's a huge gap between what we do as researchers and what practitioners can actually do with our work. Interactive visualization is actually a very powerful tool to give human decision-makers access to large and complex amounts of data and also to give them more intuitive access to the models that we build. And so by presenting this data visually, they get a real visceral feeling for it. And that's really valuable if you have decision-makers in different parts of your organization. In the cave lab, supply chain network design is more than building and modeling a supply chain. Researchers at the Center for Transportation and Logistics build cutting-edge optimization models and the cave lab allows for the interactive visualization of these models, giving decision-makers access to large and complex amounts of data while also giving them more intuitive access to the models that we build. Organizations can collectively explore different solutions and use tools that ultimately lead to better consensus and better organizational buy-in. In this video, we're going to highlight two projects that explored network design in the cave lab. The first project helped a company design a distribution network for a new commodity. The research had several goals. Focus on maximizing profits, not only minimizing costs, while allowing for custom interaction specific for the business case being considered. This project closed with a facilitated co-design workshop that brought functional leaders, supply chain finance and sales decision-makers, together to co-design a supply chain for a new product. Shared exploration of the model with individuals creating scenarios based on their assumptions rapidly led to a common understanding of key business dynamics. The exploration led to immediate decisions regarding next steps for the business unit. In the second application, the cave lab built a network design tool to study how best to support more efficient data-driven group decision-making for complex supply chain problems. Participants had to work together to find the optimal network configuration in order to maximize profit. They changed the network with a visual interface allowing them to activate and deactivate warehouses. They explored data relevant to their network design decisions using an interactive dashboard with numerous metrics and graphics for each solution, helping to shape intuition. Users reported the cave lab allowed them to understand the problem more quickly, construct better solutions and make more efficient group decisions. By convening stakeholders in a facilitated co-design process, the cave lab aligns intuition and accelerates decision-making in order to help us grow our research agenda and help the center to have more impact on the real world with our industry partners.