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The use of AI and ML to improve decision-making and automation skills is a growing trend in the connected logistics business. AI-powered algorithms analyze large amounts of real-time data to forecast demand, optimize routes, and automate routine logistics operations. This breakthrough not only improves operating efficiency but also allows for proactive management of supply chain disturbances, resulting in increased overall agility. The increasing focus on sustainability and environmentally friendly practices is compelling the logistics providers to implement IoT-based solutions for monitoring carbon footprints, reducing energy use, and minimizing environmental effects throughout their supply chains.
For instance, in April 2024, Nokia announced the introduction of its 5G private wireless connectivity technology aimed at transforming logistics operations. By integrating this technology, Nokia aims to revolutionize warehouse and fulfillment center management with enhanced automation capabilities. This initiative promises to significantly improve operational efficiency, reduce energy consumption, and optimize asset tracking across the supply chain, marking a pivotal advancement in logistics technology.