Ai-Driven Supply Chain & Inventory Optimization
Published 6/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 48m | Size: 949.37 MB
AI supply chain optimization: automate safety stocks, forecast SKU demand, and optimize logistics routing
What you’ll learn
Predict SKU Demand Volatility: Segment product catalogs using ABC/XYZ analysis and select optimal models (SARIMA vs. XGB oost) incorporating external demand driv
Calculate Dynamic Safety Stocks: Deploy standard deviation calculations for demand and lead times to set automatic inventory buffers that reduce holding costs.
Optimize Logistics Fleet Routing: Solve the Vehicle Routing Problem (VRP) using heuristics to schedule daily shipments, eliminate empty miles, and save fuel.
Automate Freight Invoice Auditing: Build a three-way reconciliation check (Rate, Physical, and Distance) to identify carrier overcharges and recover accessorial
Mitigate Algorithm Aversion: Implement Explainable AI (XAI) trust cards to display forecast logic and build frontline confidence on the warehouse floor.
Establish Override Governance: Deploy a structured 3-gate override protocol with reason registries and value calibration to regulate manual inventory overrides.
Design a Logistics AI Pilot: Create a realistic, executive-ready deployment blueprint to run a warehouse or route optimization pilot within 30 days.
Requirements
