Inside Logistics

Done deals: February 13, 2020

Contracts, mergers, acquisitions and big deals in the supply chain sector this week


February 13, 2020
by

Rand Logistics, Inc. has entered into a stock purchase agreement to acquire American Steamship Company from GATX Corporation. Rand is an affiliate of American Industrial Partners and provides dry bulk shipping services throughout the Great Lakes region. ASC operates the largest fleet of U.S. flagged vessels on the Great Lakes, providing waterborne transportation of over 27 million tons annually of dry bulk commodities such as iron ore, coal and limestone on vessels ranging in size from 634 feet to over 1000 feet. The combination of Rand and ASC will create the largest and most diverse fleet on the Great Lakes, serving different and highly complementary markets with multiple self-unloading vessel classes.

Elemica has acquired Eyefreight, a provider of multi-modal SaaS Transportation Management Solutions (TMS). The addition of the TMS capabilities will provide clients a single platform for multi-national shipment optimization, freight settlement, and execution. The terms of the transaction were not disclosed.

Dana Incorporated has chosen Transplace to manage its entire North American transportation network. Dana selected Transplace based on its logistics technology, transportation network, and mobility industry expertise. Transplace’s Transportation Management System (TMS) will provide Dana with real-time shipment tracking, and business intelligence.

Robotics provider Magazino has signed shoe manufacturer and retailer Lloyd Shoes GmbH as a new customer. Two mobile picking robots from Magazino will be used in Lloyd’s dispatch warehouse in Sulingen, Germany. The TORU robots will support employees in picking and stowing shoes in shelving racks. Additional TORU robots can be integrated into an existing fleet in less than half a day. Through a link to a global cloud and the use of Artificial Intelligence (A.I.), TORU can constantly learn from its own experience in its daily work and share this knowledge with its robot colleagues. This makes all of the robots constantly faster and much more robust in unknown situations.