Artificial Intelligence is known to be a growing trend in many industries around the world. And it is no mystery when logistics and transportation are looking for ways to apply such technology for the improvement of all their operations within the supply chain. From back office solutions to IoT control solutions, there are several examples of artificial intelligence in logistics.
However, for people who are not deeply involved in the industry, it is not very clear to them what specific operations AI is involved in. What are the current supply chain issues for the supply chain to be optimized with AI? And what advantages does this technology confer over the competition?
If you want to learn how AI is being applied in supply chain management with these examples of artificial intelligence in logistics, take a look!
Sectors such as e-commerce have gained much relevance in recent years, so the increase in demand and the need for a more efficient storage management call for a solution. For this reason, there has been a notable trend in warehouse automation as one of the notable examples of artificial intelligence in logistics.
Warehouse automation encompasses various operations, from the application of automated storage systems with stacker cranes to warehouse management software. Within it, they use data analysis and demand forecasting to coordinate various processes in the warehouse.
And not only do they perform this step, but they synchronize the tasks of both the operators and the automated systems. In this way, personnel can focus on other tasks.
This operation usually goes hand in hand with warehouse automation and, it seems, is going to be an essential element for companies. Currently, it is known that the volume of shipments is dropping considerably due to inflation, as a result of which stock is accumulating and will take longer than desired to accumulate in the warehouse.
First, the warehouse is stocked with the right amount of inventory according to demand prediction based on previous sales, market analysis, among others. Then, automation systems would be unified with catalog control to improve stock visibility by alerting on low stock levels and detecting defective products and packaging before they are shipped via AI cameras or sensors.
Thanks to one of the examples of artificial intelligence in logistics, it is possible to reduce error margins and time spent on tasks, obtaining high customer satisfaction and competitive advantage over other companies where logistics plays a crucial role.
SEO & Inbound Marketing
Video Game Design and Production graduate currently training in Digital Marketing with a focus on SEO and Inbound Marketing.
Creating articles of value and supporting communication to the technology sector.