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SAVOYE optimizes LOXAM’s BtoB logistics with its WMS: greater efficiency, fewer errors, faster processing, optimized inventories, reduced costs, increased customer satisfaction.

With a partnership spanning more than twenty years, Bruneau relies on SAVOYE to strengthen its logistics in Europe, ensuring reliability, productivity, and quality of service across all its sites.

Bergerat Monnoyeur is radically transforming its logistics performance with a highly automated platform that guarantees the availability of critical parts for its customers.

Bigben is strengthening its logistics capabilities with SAVOYE, which has provided a comprehensive solution combining automated equipment and warehouse management software. This approach optimizes order preparation, improves responsiveness to customer requests, and effectively accommodates the group’s growth. Thanks to this collaboration, Bigben is consolidating its leading position while ensuring reliable and efficient service.

Murgier chose SAVOYE to modernize its logistics organization, improve inventory traceability, and enhance the quality of service provided to its customers.

A global player in the tooling industry, YG1 has chosen SAVOYE to strengthen its French subsidiary with modernized logistics connected to its SAP ERP system. The goal: greater reliability, security, and performance on a daily basis.

Vega, a New Caledonian specialist in hygiene products, is one of New Caledonia’s leading manufacturers. To pursue its mission and absorb the growing volumes of its operations, Vega has implemented the MAGISTOR^® WMS.Vega, a New Caledonian specialist in hygiene products, is one of New Caledonia’s leading manufacturers. To pursue its mission and absorb the growing volumes of its operations, Vega has implemented the MAGISTOR^® WMS.

To continue serving major names in cosmetics, luxury goods, e-commerce, and industry, Deret Logistique relies on SAVOYE. The ODATiO WMS improves visibility and oversight while enhancing the user experience.

The supply chain has everything to gain from working with Machine Learning.
Find out what applications can be implemented in this video hosted by Marwane BOUZNIF, Data Science Engineer.