
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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Since it was first used in 2008, it has led to the rise of the now famous bitcoin. However, blockchain does not stop at the financial sector. Blockchain technology enables us to store and send information securely and transparently. Its uniqueness: its distributed operating mode with no central point of control.
By extension, we talk about blockchain to refer to a database created with this technology. Shared by different users and with no intermediary, this secure database keeps a record of all exchanges between authorized users so that each user can verify the validity of all blocks in the chain. Blockchain can also be applied to various sectors of activity such as the Supply Chain.
Traceability is the ability of finding out where a product comes from and following its route throughout the entire transformation and distribution chain. The requirements for traceability are set by regulations issued by national and international regulatory authorities and vary depending on the type of merchandise. In the European Union, for example, food product traceability is controlled by the European Food Safety Authority.

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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