Home 〉Supply Chain Consulting 〉Transportation 〉Procurement and Bid Optimization
Home 〉Supply Chain Consulting 〉Transportation 〉Procurement and Bid Optimization
This service combines our expertise in both transportation and sourcing with the effective use of advanced technologies to determine the “business optimal” assignment of carriers to your logistics network. Spanning all domestic and international modes — truckload, less-than-truckload, intermodal, heavy-weight air, ocean, and small-package — our methodology captures, models, and considers all relevant factors, including line haul rates, accessorials, seasonality, service levels, and capacity commitments.
Chainalytics’ Transportation Procurement and Bid Optimization service can help you effectively answer the following questions:
Understand the risks of a core carrier program for truckload freight—whether in a soft market or a tight market—and how to address them.
Chris concurrently serves as Chief Scientist for Chainalytics and the Executive Director of MIT’s Center for Transportation and Logistics. At Chainalytics, Chris pioneered the Freight Market Intelligence Consortium which he presently co-leads.
In his role as Executive Director of the Center for Transportation & Logistics (CTL) at the Massachusetts Institute of Technology, he is responsible for the planning and management of the research, education, and corporate outreach programs for the center to include the Supply Chain Exchange and the Master of Engineering in Logistics (MLOG) graduate program. He is also the founder of the MIT FreightLab – a research initiative that focuses on improving the way freight transportation is designed, procured, and managed. Prior to joining MIT, Chris held senior management positions in supply chain consulting, product development, and professional services at several companies, including Logistics.com, SABRE, and PTCG.
Chris holds a Ph.D. from the Massachusetts Institute of Technology in Transportation and Logistics Systems, a Master of Science in Civil Engineering from the University of Texas at Austin, and a Bachelor of Science in Civil Engineering from the Virginia Military Institute (VMI).
Inam leads the global Freight Market Intelligence Consortium (FMIC) at Chainalytics. In this role, he develops intelligence solutions for the transportation market using machine learning and data visualization techniques. FMIC offers unparalleled visibility to transportation rates and market data across the globe, making it the most powerful and trusted source of freight market intelligence.
Prior to joining Chainalytics, Inam led the engineering team at Transplace, a third party logistics provider, where he developed and innovated such service offerings as network optimization, site selection, procurement, and transportation optimization. These services helped many shippers balance the cost and service trade-offs across their large, complex networks.
Inam holds a Ph.D. from the University of Arkansas in Applied Operations Research, a Master of Science in Industrial Engineering and a Bachelor of Science in Industrial Engineering from Oklahoma State University.