The pandemic and the resulting fluctuations in demand have put classic warehouse and inventory management methods to the test. Fortunately, new computer vision and machine learning solutions are emerging to solve these problems
Computer vision systems simplify the inventory management process, making it more transparent. Cameras can scan captured images of goods, checking their condition, shelf life duration, as well as information on labels. Cameras can track inventory movement using barcodes, which greatly reduces the likelihood of product loss at any stage. Inventory management with computer vision also makes it possible to maintain the right assortment and quantity of goods on the shelves.

In terms of inspection, computer vision is a game changer for logistics companies. Instead of having to check every parcel manually, they can let the machines do the work and focus on more complex and important tasks instead.
Artificial intelligence models trained with images of flawless products quickly detect any defect or anomaly. Based on the input data, the computer vision system seamlessly makes an autonomous decision to redirect the item for manual inspection. This reduces the workload on employees, thereby helping the company to optimize staff and reduce the headcount.

AURAi's computer vision solution helps warehouse workers make the most efficient use of available space and reduce the number of vehicles involved. The AI-based system is able to predict the most compact cargo configuration and helps employees use free space most efficiently.