NSTU-NETI proposed its own inventory management option in warehouses. We are talking about an inventory management system in warehouses with artificial intelligence, which allows forecasting, calculations, and making recommendations in real time to optimize work and prevent downtime of equipment and warehouse staff.
Students of the Faculty of Applied Mathematics and Computer Science and the Faculty of Automation and Computer Engineering of NSTU-NETI have developed an AI inventory management system in StockEasy warehouses for retail, manufacturing enterprises and e-commerce. The product will solve the problem of oversupply of stocks, which significantly increases storage costs, and eliminate the shortage — which, in turn, causes downtime and loss of revenue.
According to Nikita Chaika, one of the developers, a first-year student at the National Technical University of Economics, StockEasy combines AI forecasting, accessibility and localization and will be in demand in the domestic market. "At its core, it is a multi-module online service for companies with a cloud architecture for integration with an information system in order to manage all the main business processes of the company in a single software environment," said Nikita Chaika.
In addition, the advantages of an AI inventory management system are scalability, fault tolerance, security, high performance (data processing takes less than five seconds) and low implementation costs — about 160 thousand rubles. The cost of the development itself is almost one million rubles, which, according to the authors of the project, is competitive for the warehouse logistics market.
"Our development uses TensorFlow machine learning algorithms, PyTorch to predict demand, and an intuitive React interface with analytical dashboards. The latter ensures simplicity and clarity," Nikita Chaika noted.
The StockEasy website is already half-finished. The developers plan to test MVP with real customers, obtain a patent, register the StockEasy trademark and attract investments to scale in the Russian and international markets.