Artificial Intelligence Innovation In Logistics Transport In French Fresh-Produce Wholesaler

Abstract

Logistics transport in a fresh-produce wholesale company refers to the systematic management of the movement and storage of perishable goods from suppliers to consumers, ensuring quality and efficiency throughout the supply chain. This process is critical due to the perishable nature of fresh products, which necessitates careful handling and timely delivery to maintain quality and minimize waste. The arrival of artificial intelli- gence in the professional world is completely transforming innovation. AI is becoming increasingly powerful, and experts are asking themselves the question of integrating it more and more into their work. This study aims to analyse the contribution that AI can have on transport logistics. The method used in this thesis is a qualitative analysis based on primary data collected through interview with logistics transport experts. The results showed many concepts that AI has an impact on. In conclusion, the author has identified ten section that can be improve by the AI. Communication, environmental responsibility, social responsibility, transport quality, certification requirements, forecasting demands, routes improvement, groupage transport and prod- uct classification. In each of this concept AI could help expert trough different tools such as predictive model, data analysis, machine learning and all-connected systems. To conclude, AI is becoming one of the most important tools for the experts in logistics transport in French fresh produce wholesaler company.