  Supply chain optimization is key to a healthy and profitable business. Many
companies use online procurement systems to agree contracts with suppliers. It
is vital that the most competitive suppliers are invited to bid for such
contracts. In this work, we propose a recommender system to assist with
supplier discovery in road freight online procurement. Our system is able to
provide personalized supplier recommendations, taking into account customer
needs and preferences. This is a novel application of recommender systems,
calling for design choices that fit the unique requirements of online
procurement. Our preliminary results, using real-world data, are promising.
