At the SITL conference, Ceva Logistics, Daher, and Renault unveiled how AI is optimizing their supply chains economically, ecologically, and socially, while enhancing the human role.

AI first established itself in the supply chain to refine forecasts through the analysis of historical data, now enriched by IoT and Machine Learning. Aymeric Daher (Daher) distinguishes two levels of AI: a "Assistance AI" to optimize processes and a "Expert AI" to rethink the models.

His group is experimenting with a camera-equipped cart connected to a warehouse digital twin, performing hidden real-time inventories. The result: " gains in productivity, quality and stock reliability.”

At Ceva Logistics, AI guides operators in choosing suitable packaging (weight, dimensions, fragility) and anticipates risks such as the impact of El Niño on the Brazilian port of Manaus.

Olivier Storch explains: "A period of drought that would block ships was anticipated. We found solutions such as changing ports and then returning to the road." He insists : " AI does not replace humans but enhances their capabilities. Renault, faced with the “Never new normal” for 5 years, has been modeling its suppliers up to tier 3 and its global flows. Alexandre Lima (Renault) emphasizes: “AI helps structure data to anticipate and react quickly”, avoiding supply disruptions.

However, AI reveals weaknesses. Gilles Babinet (National Digital Council) Cybersecurity alert in a hyperconnected world. Fernando Liesa (ALICE) point the "fragmentation of information systems", source of data heterogeneity.

To overcome these limits, Aymeric Daher and Alexandre Lima advocate a “collective intelligence”, embodied by the Collective for Logistics Innovation, launched at the end of March 2024 under the aegis of France Logistique. The objective: to pool expertise to maximize the potential of AI, without forgetting that humans remain at the heart of the transformation.