PREDIK Data-Driven I Enriched Address Data for Warehouses, Distribution Centers, Fulmillment Centers and Logistics Centers Locations I US

Empower your machine learning models with a curated dataset of Warehouses, Distribution Centers, Fulfillment Centers, and Logistics Centers in the USA. Featured attributes of the data - Visualization data: Number of devices detected, time spent, income level, possible workers, trucks, among others. - Structure data: Built areas, parking lots areas, POIs. - Activity data: Commercial/Industrial activities at each address. - Device count data: Device count for every location. - Visitation data: Visitation data for each address. This dataset has proven successful in enriching machine learning models for defining POI/land parcel activity, sales prediction, site selection, red flags systems, procurement, and commercial/industrial activity measurement, among others. The dataset includes +54 attributes for each of the +5 million addresses. Some of them are: - Lat and long. - Ave. sq ft. - Ave. sq ft. per POI within the parcel. - Significant Dwell time of the visitors. - Ave. visitor stay time. - POIs in facility. - Trucks. - Possible workers. - Income of the visitors (percentile). How have our clients used this dataset? Cold Storage Company: - Data requirement: Our client needed more data about company locations that provided cold storage solutions, as part of their sales & marketing strategy. - Solution: They ingested the US address dataset in their ML model to enhance the process of identifying all facilities within the US with cold storage solutions (From Specialized Cold Storage facilities to Distribution Centers that handle refrigerated products).

搜集汇总

背景与挑战

背景概述

该数据集提供美国境内500多万个仓库、配送中心和物流中心的详细地址数据，包含54种以上属性如地理位置、面积、访客停留时间等，支持销售预测、选址分析等商业应用。客户案例显示其能有效辅助冷库企业通过ML模型识别目标设施。