The use of artificial intelligence as a right-hand man in the day-to-day activities of various areas of business management is already a possible reality and is becoming increasingly accessible. In this article, we discuss the main applications of AI and Machine Learning for logistics management. Enjoy your reading!
What is artificial intelligence?
Artificial intelligence is an area of computer science that aims, through the use of computational algorithms, to provide systems and technological solutions capable of solving and operating the most diverse issues and routines, through programming commands, with similar or superior human capacity.
If you haven’t seen Steven Spielberg’s film Artificial Intelligence, we recommend it. In the plot, a robot with perfect human characteristics plays the main character – and the plot itself is engaging.
Robots that perform transplants and systems that cross-reference data from multiple platforms to perform predictive analyses are just some of the possibilities that already exist and that make use of artificial intelligence.
What is Machine Learning?
Just as Artificial Intelligence is to development, Machine Learning is to learning.
In other words, the why do you need to try the facebook platform computational methodology known as Machine Learning aims to make a machine learn functions and understand similarities so that it is then able to generate intelligent responses regarding past, present and even future scenarios.
Netflix’s catalog of films, series and documentaries presented as “suggestions for you”, for example, uses Machine Learning to arrive at such a selection (based on your latest choices, reviews, searches and habits within the platform) – did you notice? Machine Learning makes an exemplary student.
Artificial Intelligence applied to logistics management
As already mentioned, Artificial Intelligence (AI) aims to recreate the human capacity for reasoning in order differences between inbound and outbound marketing to analyze data and, from there, make decisions/provide precise and, of course, intelligent actions – which drastically reduces the possibility of errors.
For the logistics and shipping areas, it is already possible to find companies that use AI applied to robotics, with the use of intelligent machines that promote transportation, storage and even physical inventory management.
In the case of the Rizer platform , you can create customized modules, focusing on tasks, inventories, fleets, write-offs, replacements, expiration dates, SKU location (and so on), without even having programming knowledge – our artificial intelligence solution is intuitive and educational and was created with entrepreneurs in mind who have awb directory never developed a logistics management system before .
Another relevant aspect regarding the use of for logistics management concerns the ability.