Cambridge
Academy
In London

Introduction

AI improves supply chain efficiency by optimizing logistics, forecasting demand, and managing inventory in oil & gas operations.

Objectives

- Learn AI applications in oil & gas supply chain.

- Optimize logistics and transportation with AI.

- Apply AI for demand forecasting.

- Enhance inventory management and procurement efficiency.

Audience

- Supply chain managers

- Logistics coordinators

- Procurement officers

- Operations managers

5-Day Outline

Day 1: AI in Oil & Gas Supply Chain

- Overview of AI in logistics and supply chain

- Tools: SAP Leonardo, Oracle AI SCM, C3.ai SCM

- AI in demand forecasting for oil & gas products

- Case study: AI in supply chain resilience

- Discussion: Challenges in AI adoption

Day 2: AI in Logistics Optimization

- AI for routing and scheduling transportation

- Predicting logistics disruptions with AI

- AI drones and robotics in logistics operations

- Workshop: AI logistics optimization simulation

- Peer feedback session

Day 3: AI in Procurement & Inventory

- AI in supplier risk assessment

- Smart procurement using AI algorithms

- AI in inventory forecasting and optimization

- Case study: AI reducing procurement delays

- Exercise: AI-based inventory model

Day 4: Predictive Analytics in Supply Chain

- Forecasting demand fluctuations with AI

- AI in energy trading logistics

- Tools for AI-driven supply chain simulations

- Group activity: AI predictive supply chain project

- Review session

Day 5: The Future of AI in Oil & Gas Supply Chains

- AI in green logistics & sustainability

- Digital twins for supply chain optimization

- Group project: AI-enabled logistics strategy

- Presentations and expert feedback

- Wrap-up & certification