EMEA Inventory & Distribution Planner (H/F)
Join Louis Vuitton EMEA Head Office in Paris as an Inventory & Distribution Planner.
In this role, you will manage the correct inventory of a category to support the sales of a specific geographical perimeter. This will be accomplished using your analytical skills to monitor distribution, proactively contributing to the achievement of sales target, and ensuring optimal stock levels.
As a key partner to the Store network, you will ensure an open dialogue on stock levels, product availability, while also managing the inventory flow for new store openings and special in-store events. You will implement actions based on your analyses of target stock adjustments and stock re-balance, in order to maximize sell through. You will also ensure all the stores you are supporting are well versed with Supply Chain processes and maintain their operational duties to high standards.
Holding the Supply Chain expertise, you will collaborate closely with the Merchandising team, our several Warehouses and the Central Supply Chain team to solve distribution challenges, while also supporting your Store network in meeting their global objectives. Working collaboratively with the other Supply Chain team members, you will support the delivery of special projects aiming to continuously improve the practices and global performance of the Department.
To be successful in this role, your advanced communications skills will enable you to create consensus, convince people & bring them together. As a naturally client-centric individual, you will solve complex problems, both organizational & technical. Your strong analytical skills will help you make sense of large amount of information to take the proper decisions adjusting the product flows.
In terms of background, you have a master’s degree from an Engineering School/Business School/University and hold a two-years’ experience in a similar role & environment. Your knowledge about Luxury Retail and Supply chain will be key to make the difference.
Fluent English is required. Advanced computer and data analytics skills are an asset.