Top Emerging Technologies in Logistics: What students need to know
Several emerging technologies are changing the nature of Logistics in the areas of transportation, management, tracking and monitoring. Students planning to enter this field should be aware of these technologies. This blog is mainly intended to those students and also the professionals who are planning to restart their career in the field of logistics and supply chain management. Dreamztree Training Academy provides the best Logistics and Supply Chain Management Training in Kuwait.
Artificial Intelligence (AI) and Machine Learning (ML)
Both are transforming the industry by optimizing operations, reducing costs & improving efficiency. This will help to automate warehouse operations and inventory management. Learning of AI/ML concepts and tools like Python, TensorFlow will help students to work in this field easily.
Internet of Things (IOT)
IOT devices are mainly used for the real time tracking of shipments and assets. Smart sensors in these devices help to maintain temperature by monitoring it in cold chain logistics. Predictive maintenance of vehicles and machinery is another application.
BlockChain Technologies
BlockChain Technology enhancing transparency and traceability in supply chains. It also helps to reduce fraud and data manipulation. Acquiring skills in Ethereum or Hyperledger will help to get a job in the field of smart contracting, Block chain and DApp developing.
Autonomous Vehicles and Drones
Driverless trucks and drones are using now for delivering the products. So, every company is trying to increase their profit by reducing manpower in this way. So, updating skills in technology is very important nowadays.
Robotic Process Automation
Automated guided vehicles and robotics arms are used nowadays for warehouse operations and for sorting and packaging respectively. It also helps to reduce human errors and improve efficiency. So enhancing or learning robotics and its operating system open a wide range of opportunities.
Big Data Analytics
Proper data analysis helps to solve more complex problems and is able to forecast demand, better routes and inventory management. Students who are interested in this area should focus to improve their analytical ability, logistic concepts and big data fundamentals.
Cloud Computing
It plays a crucial role in transforming the logistics industry by providing flexible and cost-effective solutions for managing vast amounts of data, improving collaboration and streamlining operations. Students interested in cloud computing in logistics should focus on a combination of technical knowledge, practical skills and industry awareness.
Students need to be familiar with these technologies to excel in the field of logistics and supply chain management.