AI-Driven Supply Chain & Inventory Optimization

零代码AI供应链优化实战

本课程教运营人员用Excel实现AI驱动供应链优化，涵盖需求预测、动态安全库存及物流路由，30天设计可落地AI试点方案，降低运营成本。适合零基础学员。

本课程由资深专家操刀，旨在为运营管理人员提供零代码的AI供应链优化方案。课程核心包含预测性需求分析、自动动态安全库存计算以及物流路由优化，旨在通过Excel工具帮助企业实现库存周转率与物流效率的提升。

课程涵盖从ABC/XYZ库存分级到车辆路径求解的实战技能，并通过三道关卡协议解决AI治理与前线信任问题。学员将通过实战案例，在30天内设计出一套可落地的物流AI试点方案，从而降低运营成本、推动采购与补货的自动化。

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. XGBoost) 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
Basic Operations & Supply Chain Foundations: Familiarity with inventory management concepts, shipping/warehousing workflows, or basic operations metrics (like inventory turns, carrying costs, and lead times).
No Coding Required: Zero programming or data science background is required. All mathematical formulas, API queries, and decision matrices are provided as clean business templates.
Access to Basic Spreadsheets: A working knowledge of standard business tools like Microsoft Excel or Google Sheets.

Description
Welcome to the second course in the Operational AI Series:AI-Driven Supply Chain & InventoryOptimisation.

Having established your margin defence in Course 1, it is time to scale your efficiency from the back office directly onto the warehouse floor, supplier networks, and shipping routes. Traditional supply chain management relies on lagging indicators, arbitrary safety stock buffers, and manual carrier audits. These legacy practices tie up millions in working capital and lead to stockouts or costly fleet routing waste. This course introduces you toAlgorithmic Supply Chain Scaling, a data-driven approach to optimise your inventory, replenishment cycles, and logistics network.

Led by Kamel Elmangalifi, a veteran operations executive with over 25 years of experience leading multi-site operations and large teams across Egypt, Saudi Arabia, and the UAE, this course provides you with executive-ready playbooks, mathematical formulas, and templates.

Key areas covered in this course
–Predictive Demand Forecasting: Segment SKUs using the ABC/XYZ matrix and deploy non-linear models (XGBoost, Prophet) incorporating weather and promotions.

–Dynamic Safety Stock & ROP: Automate replenishment by calculating safety buffers that adapt dynamically to demand volatility and supplier lead-time variances.

–Logistics & RouteOptimisation: Solve the Vehicle Routing Problem (VRP) to optimise carrier routes, eliminate empty backhaul mileage waste, and set up automated three-way freight auditing.

–Frontline Trust & Governance: Overcome ‘algorithm aversion’ using Explainable AI (XAI) trust cards and establish a structured three-gate override protocol (value limits and reason registries).

By completing the hands-on capstone project, you will design a logistics AI pilot to optimise inventory turns and unlock trapped working capital. Whether you are a COO, supply chain director, logistics manager, or operations analyst, this course equips you with the strategic toolkit to lead high-performance autonomous logistics operations.

Who this course is for
Supply Chain & Operations Leaders (COOs, Directors, Inventory Managers): Executives looking to scale operational efficiency, reduce inventory carrying costs, and automate purchase orders.
Logistics & Fleet Managers: Professionals responsible for transport networks who want to optimize routing schedules and audit shipping carrier invoices.
Inventory Control Managers & Procurement Analysts: Technical staff looking to transition from manual spreadsheets to predictive replenishment systems.
Operations Transformation & AI Consultants: Professionals helping enterprise clients digitize logistics, manage frontline reskilling, and build algorithmic trust gates.