by Walther Ploos van Amstel
A recent study aims to assess urban freight tours by integrating machine learning with the Life Cycle Sustainability Assessment (LCSA). The research captures supply chain operations using the Gradient Boosting Regression (GBR) model, real-time data from surveys, and Global Positioning System (GPS) tracking. These predictions were analysed using LCSA to assess the sustainability impacts of …
Transport managers oversee the movement of goods and ensure it’s done efficiently, cost-effectively, and on time. According to ChatGPT, here’s how AI can support them: 1. Data-Driven AI uses fleet telematics, traffic feeds, fuel consumption logs, delivery schedules, and more. AI Tools Help With: Monitoring vehicle location, load, and performance in real time Forecasting delivery …
Last-mile delivery is crucial but often plagued by inefficiencies and high costs due to its complexity. Recent advancements in Edge AI or Edge Intelligence (EI) present promising solutions to these challenges. Edge Intelligence or Edge AI Edge Intelligence or Edge AI moves AI computing from the cloud to edge devices, where data is generated. This …
The growth in e-commerce that our society has faced in recent years is changing the view companies have on last-mile logistics due to its increasing impact on the whole supply chain. In addition, new technologies are raising users’ expectations with the need to develop customized delivery experiences; moreover, increasing pressure on supply chains has also …