Robotics, LLM & Agentic AI for Supply Chain Management

3-Day Intensive Course for Supply Chain Leaders, AI Strategists & Operations Managers
3 Intense Days
7 Hours per Day (Split into two 3.5-hour sessions)

Learning Path Visual

From physical automation to intelligent decision-making:

Day 1: Robotics & Agentic AI Foundations for Supply Chain
Explore how autonomous robotics and agentic AI systems transform logistics operations. Understand the architecture of swarm robotics, AI agents for warehouse management, and real-time coordination for fulfillment.

Day 2: LLMs & Prompt Engineering for Supply Chain Operations
Learn how Large Language Models (LLMs) like GPT-4 or Claude can automate procurement, forecasting, inventory messaging, and customer communication. Use prompt engineering and no-code interfaces to build supply chain copilots.

Day 3: Integrated Swarms — Agents + LLM + Robotics for Smart Supply Chains
Design intelligent, distributed systems where LLMs interface with robotic agents and dashboards. Use agentic workflows to automate planning, track disruptions, optimize routes, and deliver insights to leadership.

Course Overview

This advanced course brings together three powerful technologies — Robotics, LLMs, and Agentic AI — to build the supply chain of the future. Over three days, participants will design intelligent systems that sense, think, and act across warehouse, transport, and planning domains. You’ll leave with a prototype blueprint for an AI-augmented logistics operation.

You’ll learn how to:

• Map supply chain processes to robotic and AI agent functions

• Use agentic AI to automate procurement, tracking, and compliance

• Apply LLMs for supplier messaging, document handling, and analytics

• Design swarm-based robotics systems for inventory and last-mile delivery

• Build interconnected workflows that blend physical and digital intelligence

• Evaluate risks, performance, and ROI of AI in supply chains

What’s Inside Each Day

Day 1 — Robotics & Agentic AI Foundations for Supply Chain

• Overview of robotics in logistics: mobile robots, picking arms, AGVs

• Designing agentic AI systems for warehouse control, supplier onboarding, and scheduling

• Case studies: Amazon Robotics, Ocado, Flexe

• Workshop: Build a warehouse agent system map with robotic roles
  Toolkit: Supply chain AI/robotics task matrix + swarm coordination guide
  Focus: Autonomy • Real-Time Response • Process Automation

Day 2 — LLMs & Prompt Engineering for Supply Chain Operations

• Automating routine supply chain tasks using LLMs

• Procurement assistant prompts: RFQs, supplier emails, invoice parsing

• Forecasting and inventory summaries via LLM copilots

• Workshop: Build a prompt library for logistics use cases
  Toolkit: Prompt engineering framework + LLM checklist
  Focus: Communication • Data Interpretation • Language Automation

Day 3 — Integrated Swarms — Agents + LLM + Robotics for Smart Supply Chains

• Connecting LLMs with AI agents and robotic systems

• Multi-agent systems for demand sensing, exception alerts, route optimization

• Digital twins, dashboards, and feedback loops

• Workshop: Design a full-stack intelligent supply chain system
  Toolkit: Integration planner + pilot launch checklist
  Focus: Orchestration • Intelligence Layering • Decision Support

Course Goals

By the end of this course, you’ll be able to:

• Automate key parts of the supply chain using robotics and AI

• Deploy LLMs to handle documents, messaging, and forecasting

• Build multi-agent systems that optimize logistics performance

• Coordinate robotics and LLMs for scalable operations

• Pitch AI-enhanced supply chain architectures to stakeholders

Who Should Take This Course?

This course is for IT professionals, managers, and analysts who need to understand and manage cybersecurity risks in a business and compliance context.

Class Reference: HIRE/ENG
Form Updated on: 06/19/2025 (Version 1)
Last Modified on: 06/19/2025

Program Note
Participants will receive downloadable templates for interview planning, competency maps, scorecards, behavioral questions, and a complete post-interview decision-making toolkit.

Brief pédagogique en français

Robotics, LLM & Agentic AI pour Supply Chain Management est présenté ici en version synthétique française afin que les équipes pédagogiques puissent évaluer rapidement l'intérêt du module.

Le module s'inscrit dans la famille Analytics et intelligence artificielle. Il peut être adapté au calendrier de l'école, au niveau Tous niveaux, au volume horaire 21 h et aux modalités d'évaluation prévues.

Objectif d'intervention

Ce module vise à relier les outils data, IA et automatisation à des usages professionnels concrets.

Livrables et activités possibles

• cas d'usage, prompts, scénarios d'automatisation ou analyses data
• évaluation critique des résultats, limites et risques
• communication claire des choix techniques et business

Adaptation école

LC peut ajuster le déroulé, la langue d'enseignement, les supports, les exercices et les critères d'évaluation selon la promotion, le diplôme, le niveau d'autonomie attendu et les contraintes de planning.

Pour une version détaillée du syllabus en français, LC confirme le programme final après cadrage du niveau, des heures, du calendrier et des livrables attendus.