When Will AI Replace Ingénieurs logistiques ?

The impact of AI on logistics engineering will unfold in waves. Early impacts are expected as soon as 2026, affecting junior logistics engineers and supply chain analysts. By 2028, a significant shift will occur as AI systems mature in handling complex optimization problems, impacting mid-level roles.

The initial wave, beginning in 2026, will see 15% of entry-level analytical positions affected. This is driven by automated optimization algorithms and real-time data processing, which will streamline tasks previously performed by junior professionals in areas like route optimization and demand forecasting.

The mass wave of transformation is anticipated around 2028. Mid-level logistics engineers specializing in routine network design and standard process improvement will experience this as AI systems become more adept at multi-variable optimization. This period will see about 45% of logistics engineering tasks automated.

Junior logistics engineers and supply chain analysts are identified as facing the initial impact of AI automation. Roles focused on routine tasks such as route optimization, demand forecasting, and inventory level calculations are particularly susceptible.

Mid-level logistics engineers specializing in network design and standard process improvement will experience the main wave of change. As AI systems become more capable of handling complex, multi-variable problems, these roles will see a significant portion of their tasks automated, requiring adaptation.

To adapt, logistics engineers must focus on developing skills that complement AI capabilities. This includes strategic thinking, complex problem-solving, and managing AI-driven systems. Embracing continuous learning and upskilling will be key to remaining relevant in the evolving job market.

Leveraging advanced AI-powered platforms is essential. Familiarity with tools like Blue Yonder, o9 Solutions, Kinaxis RapidResponse, and AI-enhanced WMS such as Manhattan Associates and SAP Extended Warehouse Management will be critical. Mastering these platforms will enhance efficiency and job security.