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