On October 15–16, 2019, the MIT Center for Transportation and Logistics hosted representatives from 18 organizations for a roundtable on data management for machine learning in the supply chain. Six sessions focused on: 1) the importance of data, 2) managing organizational transformation, 3) organizational data governance, 4) data collection, 5) data wrangling, and 6) data visualization. Each session began with a short presentation followed by wide-ranging discussions. To encourage candor, statements have not been attributed to named organizations.