§ 40 — Use Cases
Use Cases
Pattern-level analyses of what works and what fails when supply-chain AI is applied to specific functions and techniques (demand forecasting, inventory optimization, procurement automation, warehouse computer vision), synthesized from the Post-Mortems and corroborated by cited external research (e.g., MIT CTL, SupplyChainBrain, peer-reviewed studies) rather than recycled unsourced industry statistics. Every claim carries a named source and date. Distinct from Post-Mortems (single-deployment accounts) and Readiness (task checklists): this section answers whether a category of AI application actually delivers, and under what conditions it fails, at a pattern level.
AI in Supply Chain Planning: The Numbers Behind the Hype
· machine learning forecasting
Using AI to Manage Supply Chain Tornado Disruptions
· Computer vision, Agentic AI
How to Build an AI-Powered Tariff Scenario Planning Capability
· machine learning optimization
How AI Turns Travel Advisories into Supply Chain Risk Intelligence
· natural language processing, entity extraction, machine learning
AI Capabilities for Tropical Storm Supply Chain Disruption Planning
· machine learning forecasting
AI for Vehicle Recall Supply Chain Management
· machine learning forecasting
AI in Warehouse Management ROI: A Risk-Adjusted Reality Check for 2026
· machine learning
AI-Defined Washing Guidelines for Leafy Greens
· Taguchi DOE + Machine Learning
How AI predicts and mitigates wildfire supply chain disruptions
· Machine learning forecasting, computer vision
Free AI Route Optimization Tools in 2026: What They Actually Deliver and Where They Fall Short
· Machine learning optimization
Machine Learning in Procurement: Five Proven Use Cases with Measurable Results
· machine learning classification, forecasting, anomaly detection, natural language processing
How new airline routes are reshaping supply chain planning
· machine learning forecasting
Which Logistics Equipment Delivers the Best Predictive Maintenance ROI?
· machine learning
Move from spend-based to supplier-specific Scope 3 data with AI
· machine learning
