The Great Resignation in Logistics` refers to the phenomenon where employees are leaving their jobs in enormous numbers, with over 47 million people quitting their jobs in the United States in 2021. This trend is not uniform across industries and locations, with some areas experiencing a significant increase in resignations while others remain relatively stable. To combat this trend, logistics companies can consider locating new distribution centers in areas of high relative unemployment, where the ratio of potential staff to job openings is less competitive for employers. Unemployment is inherently spatial, and analyzing data at a more granular level, such as census block groups or H3 hexagonal cells, can provide insights into the availability of skilled workers. By considering factors such as proximity to major transport infrastructure, population density, and unemployed population, logistics companies can identify optimal locations for distribution centers that minimize disruption to local infrastructure while maximizing the potential for skilled workers. The example of Amazon's new distribution center in Mt. Juliet, Tennessee, demonstrates how location planning can be a symbiotic benefit for both businesses and local residents. By leveraging Location Intelligence tools like CARTO, logistics companies can optimize their operations and make data-driven decisions about distribution center locations.