2026 FAU / IMI
SCM Case Study Competition
Enter the password to continue.
Power BI · Predictive Analytics
Interactive demand forecasting analysis across IMI's 18 North American discharge ports — exploring shipment volume trends, seasonal patterns, and freight rate projections to support strategic COA planning.
Explore demand trends, volume projections, and freight rate scenarios directly below. Use the filters and slicers within the report to drill into specific ports, lanes, or time periods.
Use the slicers and filters within the report to drill into specific discharge ports, COA groups, or date ranges.
Click any chart element to cross-filter other visuals on the page — a standard Power BI interaction.
Use the full-screen icon (bottom-right of the report) to expand for a larger view on any device.
How demand forecasting feeds directly into the ILP cost optimization model.
Port-level shipment volumes are analyzed over time to identify seasonal trends, growth trajectories, and demand variability across all 18 discharge locations.
Forecasted demand minimums per port are extracted and fed into the ILP model as constraints — ensuring the optimizer allocates shipments to meet projected needs.
Rate forecasts inform the +5%, +10%, and +20% cost scenarios in the optimization dashboard — translating market outlook directly into freight cost impact analysis.