Demand Planning Review, Opportunity Assessment and Improvement Roadmap: Evaluate your demand planning organization, systems and processes for best-in-class performance. Identify gaps, charter improvement initiatives, and develop a roadmap for demand planning improvement. Option to combine with Inventory, Supply and cross-functional (S&OP or IBP) scope to create an end-to-end Integrated Planning opportunity assessment and roadmap (recommended).
Demand Planning Benchmarking and Metrics/Dashboards: Measure, monitor, manage and benchmark your demand planning performance, and drive consensus and alignment through your organization using advanced data visualization. Classify and segment different areas of demand behavior within your portfolio. Quantify and reduce the impact of volatility on your business.
Forecast Value-Add (FVA) Analysis: Measure and quantify the impact of adjustments, overrides and various information streams have on the accuracy of your final consensus demand plan by analyzing differences vs. your statistical forecast outputs. Determine where the statistical forecast should be left untouched, and where additional information drives the largest value-add to the forecast, enabling you to maximize return on your effort and partner most effectively with sales, marketing and commercial teams.
Cost-to-Serve and Portfolio Profitability Analytics: Assign and account for the true cost of serving your customers. Expose hidden costs, uncover profit contribution opportunities, and evaluate the profitability of each product, customer, and supplier in your portfolio.
Demand Planning Process Design and Implementation: Redesign and/or improve your demand planning approach, with implementation support from our expert practitioners.
Demand Planning Technology Requirements Development: Determine and document the needs of your business and formulate requirements for selection and use of demand planning and forecasting technology.
Demand 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.
Demand Planning Technology Implementation and Transformation: Implement or re-configure your demand 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.
Statistical Forecasting as a Service (SFaaS): Don’t want to procure or sustain forecasting technology or maintain the specialized resource skillset to drive high performance in creating a statistical baseline forecast? Chainalytics can provide statistical forecasting as a Managed Analytics Service (MAS) through longer-term outsourcing arrangements. Let us create your statistical forecast, so you can focus on your customers and the highest value-add contributions to the final demand plan.
To learn how Chainalytics’ Demand Planning Intelligence Consortium (DPIC) helps our clients accurately benchmark performance and improve demand planning, click here.
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.