Marjolaine is an accomplished professional in the field of supply chain management, recognized for her expertise in modeling, optimization, and flow management. With a diverse background combining applied mathematics, information systems, and logistics, she has led several initiatives aimed at optimizing transportation networks, improving supply planning, and reducing costs related to transport and warehousing. Her methodical approach and strong command of quantitative tools allow her to design innovative, relevant solutions tailored to the specific needs of organizations.

Holding a bachelor’s degree in mathematics with a specialization in optimization, Marjolaine is currently completing a master’s in logistics and analytics, where she is developing in-depth expertise in inventory management, transportation optimization, and the strategic organization of supply chains. She has notably contributed to a project focused on optimizing warehouse space in a 3PL environment, as well as to several logistics network optimization projects carried out in both the private and public sectors.

These projects aimed to identify optimal routing while addressing operational constraints specific to each organization, and to select the most suitable transportation equipment to reduce operating costs. Her previous experience as an IT analyst in the automotive insurance sector provided her with strong data processing skills, which she now applies to complex challenges in transport, logistics, and procurement.

Marjolaine stands out for her ability to structure robust decision-making models and leverage quantitative tools to support strategic supply chain decisions. She applies her analytical skills and deep understanding of logistical challenges to optimize every stage of the supply chain from upstream procurement to final distribution.