Revolutionizing supply chain logistics: How AI is reshaping transportation efficiency.
During the period from the starting point warehouse to the final warehouse of logistics transportation, it is inevitable that there will be problems in connection, resulting in the loss of transported materials. However, the materials will be transported from the dedicated line storage point to the designated dedicated line point after being transported out of the warehouse, during which many logistics enterprises may be responsible for the transportation, and there may also be problems in connection between transportation links.
Therefore, the supply chain logistics should carry out artificial intelligence construction and innovation, and reduce the intermediate logistics links as much as possible, to make the supply chain logistics transportation more efficient and ensure accuracy, to avoid damage to materials in transit.
When the supply chain logistics and artificial intelligence are fully integrated, comprehensive analysis is carried out by using big data according to the geographical location of manufacturers and suppliers, actual operating costs, warehouse construction, and many other elements, to avoid the influence of subjective factors on site selection, and to optimize the final site selection results according to long-term strategic planning. After the realization of intelligent warehousing, goods storage management gradually has the characteristics of containerization and automation. The container of goods storage and transportation applies artificial intelligence, and all goods can be transported point-to-point by pallet. Reducing intermediate processes during transportation also could improve the material turnover rate.
“According to Facts and Factors, the global Logistics market is projected to expand annually at the annual growth rate of around 17.1% over the forecast timespan from 2023 to 2030. In terms of revenue, the global Logistics market size was evaluated at nearly $4.09 billion in 2022 and is expected to reach $12.09 billion by 2030. Region-wise, the Asia-Pacific logistics market is projected to register the highest CAGR during the assessment period.”
Technology is becoming a large and integral part of life today, with several factors driving and enabling this change. In fact, artificial intelligence as an agile innovation has several benefits for the logistics sector, such as cost saving, since artificial intelligence technologies are cheaper as they provide faster, higher quality, reliable, and durable solutions in the logistics domain. Earnings increase by increasing revenue volumes, and increased speed which is an important dimension in logistics and transportation contexts. Most importantly, increased flexibility is a very valuable asset in logistics environments and can be especially crucial in peak times.
Nowadays, express logistics companies have entered a new stage of transformation. It is not only mode and capital but also emerging technologies such as artificial intelligence and cloud computing that are leading the explosive fission of the logistics industry. With the increasing popularity of artificial intelligence technology, many modern logistics enterprises try to use artificial intelligence technology to optimize logistics links and improve logistics efficiency.
In this era of drastic changes in the logistics industry, unmanned sorting centers, unmanned aerial vehicles delivering goods across the sea and logistics warehouses are emerging one after another. With the rapid development of e-commerce, the express delivery industry has shown explosive growth.
Artificial intelligence can use enhanced customer experience. It can change and improve the relationship between the logistics partners and their customers by personalizing them. For instance, the cooperation between DHL Parcel and Amazon is an excellent example of a personalized customer experience. In this case, the delivery company offered a voice-based service to track the parcels and then get the shipment information using Amazon’s Alexa-Powered Echo.
Moreover, there are other advantages in which AI can improve the logistics sector, which are providing insights into improving the productivity of the supply chain management, having the ability to analyze massive volumes of data so boosting the accuracy of demand forecasting, improving the supplier selection and developing the supplier relationship management effectiveness, and improving factory scheduling and production planning.