The role of artificial intelligence and autonomous vehicles in logistics

The role of artificial intelligence and autonomous vehicles in logistics


The logistics industry is one of the sectors being transformed by technology, and artificial intelligence (AI) and autonomous vehicles are at the forefront of this transformation. The sector is undergoing a major transformation, both in terms of operational processes and customer satisfaction. Critical processes such as transportation, warehousing and inventory control will become faster, safer and more cost-effective.



Applications of artificial intelligence in logistics


•   Route optimisation: AI, big data and real-time analytics determine the most efficient routes, reducing fuel consumption and delivery times.

•   Supply chain management: AI is used to optimise inventory movements in the supply chain. Product demand is predicted, risks are anticipated and flexibility is ensured.

•   Warehouse management: AI optimises warehouse operations, from workforce planning to storage locations. Efficiency increases and error rates decrease in high-volume operations.

How autonomous vehicles are shaping the future of logistics?

•   Independence from human power: Autonomous vehicles are systems that can operate without human intervention. Especially in long-distance transport, they enable continuous operation without the need for breaks. This shortens delivery times.

•   Fuel efficiency and reduced carbon footprint: Autonomous vehicles minimise fuel consumption by always adopting the most efficient driving style. In addition, electric autonomous vehicles can significantly reduce the environmental impact of the logistics industry.

•   Autonomous freight transport: Autonomous trucks, drones and other autonomous transport vehicles are becoming increasingly common, especially for last-mile deliveries. These technologies are critical to reducing urban congestion, shortening delivery times and operating at lower costs.

Impact of artificial intelligence and autonomous systems on sustainability


•   Reducing the carbon footprint: AI and autonomous vehicles optimise energy use and consume less fuel. AI-based route planning and autonomous vehicles will significantly reduce carbon emissions.

•   Green logistics applications: Autonomous electric vehicles reduce dependence on fossil fuels and contribute to the spread of green logistics. This provides both cost savings and environmentally friendly operations.

•   Waste management and circular economy: AI optimises waste management and recycling processes and accelerates the transition to sustainable production and consumption models. This minimises the negative impact of logistics operations on the environment.

Artificial intelligence and autonomous vehicles are reshaping the logistics industry. These technologies not only increase efficiency and reduce costs, but also offer great opportunities in terms of environmental sustainability. In the future, AI and autonomous vehicles will be an indispensable part of logistics operations. It is inevitable for logistics companies to gain competitive advantage by adopting these technologies. At Sertrans Logistics, we are making a significant contribution to the development of the sector with the new projects we have developed, especially in the field of artificial intelligence. In particular, with Akıl İşi, our country's first artificial intelligence-based WMS system, we have taken warehouse management to a completely different level. We will continue to contribute to the change process with the new projects we are currently working on.

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