
AI in the Supply Chain: 5 Practical Use Cases That Deliver Value
Explore five practical AI supply chain use cases and the data, integration, governance, and KPIs required to turn each one into measurable value.
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The partnership between Generix Group and AFTRAL, created thanks to Euralogistic Campus, is training the employees of tomorrow by introducing them to the newest and most advanced supply chain technologies before they even hit the job market. As a main player in the supply chain eco-system, Generix Group has a great vision of the supply chain of tomorrow, as demonstrated in our own Isabelle Badoc’s recent presentation at the Campus Euralogistic. The main objective of this partnership is to help educate students on the technologies of tomorrow in order to provide them with an advantage when starting their careers in the industry. Along with this objective, the aim is also to train who will ultimately become the best specialists in the sector of transport and supply chain logistics. This is a huge advantage for any company, because they will now have the ability to hire people who have been trained on and are highly proficient in using software the company depends on. This can only help to increase flexibility, KPIs, and annual revenue, among other benefits.
AFTRAL has introduced Generix Group’s WMS as a core part of its standard and advanced training programs, giving students a complete overview of how such a technology helps big players, such as Decathlon (suppression de for example). Working directly in an environment where the most advanced digital technologies are very present can only serve to greatly benefit everyone involved: today and in the future.

Explore five practical AI supply chain use cases and the data, integration, governance, and KPIs required to turn each one into measurable value.

Generix is proud to once again be recognized in Gartner 2026 Magic Quadrant™ for Warehouse Management Systems (WMS)

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