B2B-Parts-Rec

B2B-Parts-Rec is a large-scale, fully anonymized dataset of real-world Business-to-Business (B2B) industrial procurement transactions, released to support research in recommender systems, demand forecasting, and supply chain analytics. The dataset comprises 285,919 orders spanning six years, collected from a global network of 219 industrial client companies operating in the food and beverage manufacturing sector. Transactions cover the procurement of industrial spare parts, machinery components, and catalog-based supplies across multiple continents. Associated resources. Code, benchmark results, and full documentation are available at: https://github.com/Infraste03/B2B-Parts-Rec Reference. If you use this dataset, please cite: B2B-Parts-Rec: A Novel Dataset to Study Business-to-Business Recommendation Problems