Ensure that the right product is at the right place, at the right time by implementing best practices, employing leading technologies, managing lead times, meeting minimums, and mitigate the supply volatility and portfolio complexity which somehow seems to grow each year.
Supply Planning Review, Opportunity Assessment and Improvement Roadmap: Evaluate your replenishment, fulfillment, allocation and/or advanced planning (APS) systems and processes for best-in-class performance. Identify gaps, charter improvement initiatives, and develop a roadmap for supply planning improvement. Option to combine with Demand, Inventory, and cross-functional (S&OP or IBP) scope to create an end-to-end Integrated Planning opportunity assessment and roadmap (recommended).
Supply Planning Process Design and Implementation: Redesign and/or improve your replenishment, fulfillment, allocation and/or advanced planning (APS) approach, with implementation support from our expert practitioners.
Supply Planning Technology Requirements Development: Determine and document the needs of your business and formulate requirements for selection and use of replenishment, fulfillment, allocation and/or advanced planning (APS) technology.
Supply Planning Technology Selection Support: Get the experts on your side before and during engagement with providers to select a new planning technology. Create RFPs, use cases and demo scripts, scoring criteria, and facilitate workshops and the overall selection project.
Supply Planning Technology Implementation and Transformation: Implement or re-configure your supply planning technology, from process design, to change management and PMO, to user acceptance testing and end-user training. Translate requirements into configuration specifications, create optimized solution architecture, implement functional and technical designs, test, tune, and go-live.
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.