In logistics, AI can aid in tasks such as route optimization, demand forecasting, inventory management and supply chain visibility. In addition, machine learning and predictive analytics significantly ...

In this paper, Vincent explores cutting-edge advancements in process control, emphasizing the integration of AI, machine learning, and Industry 4.0 technologies to enhance industrial operations.

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

Last-mile logistics is the most expensive phase of the shipping process, accounting for an average of 53% of the expense involved with delivering products to consumers. Consequently, any ...

On the digital side, AI and big data are driving process optimization. AI agents are now embedded into supply chain ...

The Visual Process Monitoring starter kit enables companies to rapidly develop edge video analytics solutions for in-facility safety monitoring, labor productivity analysis and optimization, order ...

The International Process Optimization Challenge under the DigiLog ... from different countries together in teams to tackle real-world challenges posed by local companies in the area of logistics.

This creates an opportunity for last-mile logistics companies to increase their volume of business, provided they can meet the enhanced responsibilities inherent in the cold chain delivery process.