Case Study: GEODIS achieves faster, overtime-free inventory counting with Gather AI

A Gather AI Case Study

Preview of the Geodis Case Study

How GEODIS Solved a Costly and Labor-Intensive Inventory Problem with Gather AI

Geodis, a global logistics and supply chain leader, faced a costly and labor-intensive challenge with its required quarterly inventory cycle counts. The process consumed significant time and often necessitated overtime. To address this, Geodis turned to vendor Gather AI for its autonomous drone inventory management solution.

Gather AI implemented a solution using drones that autonomously scan barcodes and compare data with the warehouse management system in real-time. The results were substantial: Geodis cut cycle counting time in half and achieved a fivefold increase in productivity. This eliminated the need for overtime, reduced the search for misplaced pallets from days to minutes, and freed employees for higher-value tasks.


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Geodis

David Ruiz de Arbulo

Inventory Specialist


Gather AI

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