Home 〉Supply Chain Intelligence 〉Freight Market Intelligence Consortium 〉Brokers/3PLs
Home 〉Supply Chain Intelligence 〉Freight Market Intelligence Consortium 〉Brokers/3PLs
Users have unlimited access to rating tools and market rate data for both spot and contract market rates which are refreshed on a weekly basis. Rate estimators are available in both single and batch look-up formats.
A REST-based API can be added to directly integrate rate information in your execution system(s).
Lane, carrier, and geography-based benchmarks are provided on a weekly basis for Truckload and quarterly basis for Less-than-Truckload. Reports also include weekly trends by mode, carrier, and other factors to highlight the impact of procurement efforts and changes due to market dynamics. Optional cloud-based visualization and business intelligence tools (powered by Tableau) are available to help you manage all market trends and historical shipment data.
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.