AI can also help automate inventory processes that have typically been fraught with error, reducing the gap between data and physical inventory. Applications for logistics management include the ability to scan, sort and place parcels automatically.
Any time repetitive manual tasks can be automated, it saves human time for more complex thinking and reduces bias as well. For instance, the insurance claims process is an area that stands to benefit enormously from automation. Insurance companies can automatically classify damages seen in an image of a car to reduce the bias and increase the time it currently takes claim handlers to process.
Get more insight into how Peltarion supports task automation
The Peltarion Platform supports deep learning methods and replicates groundbreaking research results, while enabling non-experts to both apply and better understand the deep learning process. To gain more insight into how Peltarion can help with task automation, try our tutorial Classifying car damages, which lets you get hands-on with a pretrained snippet in a classification model designed to detect different types of car damages.