Technology -based cold supply chains – air cargo week


The appearance of digitization and technological progress greatly transformed the logistical scene, especially in cold supply chains, where the management of temperature delicate goods such as medications, damageable foodstuffs, and chemicals are very important.

Merging advanced technologies such as the Internet of Things (Internet of Things), AI (Artificial Intelligence), machine learning, and brick blocks have brought a new vision and effectiveness of cold supply chain operations, a sector in which the management of these supply chains can be managed effectively, indicating that there are consistent controls from the temperature from the production point to the final intended, as any temperature cut can know safety and effectiveness.

“The challenges put forward by the epidemic have highlighted the need for more vision, monitoring and flexibility in cold supply chains. Technology is no longer luxury but it is necessary to ensure that the goods reach their destination safely and without delay,” said Satish Lacragu, CEO of Nexgen Logistics.

The use of Blockchain reliability is promoted cold supply chains. Blockchain offers a fixed and transparent record for the product trip, which is very important for industries that need to ensure the validity of their shipments and safety. For example, in the drug industry, where fake drugs pose a major threat, Blockchain can guarantee that only original products reach the final consumer.

“Pharmaceutical products, especially vaccines and biology, require strict temperature controls throughout the supply chain. By taking advantage of the Internet of Things and Legal -based technologies, we can monitor these charges in actual time, and provide us with increased transparency and control. Limited, specified.

The vision in cold supply chains exceeds merely tracking goods in real time. Advanced data analyzes, backed by artificial intelligence and machine learning, can predict a possible imbalance or inefficiency in the supply chain before they occur. Modelred can predict demand fluctuations, identify bottlenecks, and recommend optimal methods and methods of transportation, all while maintaining temperature control.

“We now have the ability to predict potential disturbances, whether due to weather conditions, geopolitical events or other factors. Using visions driven by artificial intelligence, we can make proactive decisions to redirect charges or adjust logistics plans to reduce the effect of cold supply chain,” continued to a coago. “

Automation is the efficiency of other main driving in cold supply chains. ASRS and robots are deployed in warehouses and distribution centers for the storage and movement of the temperature sensitive products. These automatic systems not only reduce the risk of human error, but also improve operational efficiency by accelerating handling and sorting processes.

“Automation allows us to simplify our warehouses operations, ensuring that the temperature sensitive products are treated quickly and efficiently. This reduces the risk of temperature trips and ensures maintaining their quality throughout the supply chain,” Nandigam explained.

Enhancing vision through data analyzes and modeling

The vision in cold supply chains exceeds merely tracking goods in real time. Advanced data analyzes, backed by artificial intelligence and machine learning, can predict a possible imbalance or inefficiency in the supply chain before they occur. Modelred can predict demand fluctuations, identify bottlenecks, and recommend optimal methods and methods of transportation, all while maintaining temperature control.

according to LacragoThe use of predictive analyzes has changed how logistical services companies deal with the cold chain management. “We now have the ability to predict potential disturbances, whether due to weather conditions, geopolitical events or other factors. Using AI’s paid visions, we can make proactive decisions to redirect charges or adjust logistics plans to reduce the effect on the cold supply chain.”

These predictive capabilities are of special value for industries such as medicines, as delay can only lead to financial losses, but also affect the harmful effects on public health. By anticipating possible challenges, logistical service providers can guarantee timely and safe delivery to the drugs and vaccinations of life.

in the future

Despite the many benefits of technology, the adoption of technology -based solutions in cold supply chains is not without challenges. One of the main barriers that prevent adoption is the high cost of implementing these advanced systems, especially for small and medium -sized institutions (SMES) that may not have the resources needed to invest in Internet of Things or Blockchain or automation technologies.

“It is necessary for logistical service providers to cooperate with technology and investment companies in developable solutions that can be combined with the current systems. The future of cold supply chains lies in adopting these technologies, and the more embrace them in a closer time, the better LaCarrago recognizes.

Looking at the future, the role of technology in cold supply chains will continue to expand, driven by the increasing demand for temperature sensitive products, especially in the drugs and biotechnology sectors. Innovations such as making decisions driven by artificial intelligence, independent delivery systems and Blockchain tracking will increase the vision and reliability of cold supply chains, their efficiency and reliability.

“When the global supply chain becomes more complicated, we need to make sure that logistical services in the cold chain are not only effective, but also flexible. By taking advantage of technology, we can build a cold supply chain that cannot only face today’s challenges but also in the future for tomorrow’s requirements,” Nandigam explains.

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