warehouse dataset

This dataset, denoted as \ud835\udc7e_data, represents a synthetic yet structurally authentic warehouse management dataset comprising 4,132 records and 11 well-defined attributes. It was generated using the Gretel.ai platform, following the structural standards provided by the TI Supply Chain API\u2013Storage Locations specification. The dataset encapsulates essential operational and spatial parameters of warehouses, including unique identifiers, geospatial coordinates, storage capacities, and categorical capacity statuses. Each warehouse entry includes derived metrics such as squared coordinates and storage utilization rates, supporting comprehensive spatial and efficiency analyses. Designed to facilitate research in warehouse optimization, logistics planning, supply chain analytics, and resource allocation, this clean, well-balanced dataset reflects realistic attribute distributions and interdependencies. It is ideally suited for benchmarking algorithms in logistics optimization, classification, clustering, and spatial modeling tasks in industrial and academic applications.