Algorithmic Management in the Logistics Sector in France

This working paper provides an assessment of the impacts of algorithmic management (AM) tools on working conditions, job quality, and industrial relations in the logistics sector of France. It analyses the different ways algorithmic management technologies affect coordination, distribution and content of tasks, employee autonomy, job profiles, and industrial relations in logistics companies. The report presents a comprehensive study conducted through desk research, stakeholder consultation, and interviews with French start-ups, industry associations, public regulatory bodies, academia, and large companies. The French Strategy for Artificial Intelligence and the recent expansion of AI in French companies are discussed, along with some key applications of algorithmic tools. While algorithmic management tools offer several benefits for logistics companies, including optimizing operations and enhancing customer satisfaction, there are also concerns about the ethical and legal implications of rising technologies, particularly regarding worker privacy and the potential for bias or discrimination. Recent regulations and guidelines are presented to ensure the fair and transparent use of these tools. The paper concludes by discussing the need to balance the benefits of algorithmic tools with the potential risks and ethical concerns, and the role of the market and public policy in the coordination of economic activities in the logistics sector.