Green Supply Chain Management

Green Supply Chain Management

Generative AI in the Supply Chain

Challenges: data quality, technological integration, specialized talent.

Provides speed, accuracy, reduced waste.

Creates scenarios and "what-if" solutions.

redicts demand, optimizes routes, manages risks.

Supply Chain Transformation

Green Supply Chain

Benefits: efficiency, reputation, regulatory compliance.

Challenges: initial investment, reliable data, coordination with suppliers.

Focus on: emissions reduction, traceability, circular economy.

Integrate sustainability throughout the entire process: design, production, transport, and recycling.

Connection Between the Three Topics

Generative IA combines data and decisions for a smart, flexible, and green supply chain.

Technology drives efficiency and global competitiveness.

Sustainability needs technology to measure and improve.

Global Trends and Technologies

Objectives: resilience, visibility, speed, cost reduction.

Key technologies:

IoT (sensors and real-time monitoring)

Blockchain (traceability and security)

Digital Twins (scenario simulation)

Automation and robotics

Total digitalization of the supply chain.

Main topic

The benefits are not only related to image or compliance; companies find savings, greater efficiency, and better resilience against disruptions.

It's not just about "putting on a green filter," it's a strategy: choosing suppliers that comply with environmental and labor standards; optimizing transport routes to reduce emissions, using lighter or recyclable packaging; and closing the loop through the circular economy.

A "green supply chain" involves integrating environmental responsibility principles into all stages: product design, raw material sourcing, manufacturing, transportation, distribution, and end of life.