Novosibirsk State Technical University (NSTU) is developing a universal intelligent platform for transport logistics, which allows optimizing the delivery of goods and services with a large volume of orders.
The Faculty of Applied Mathematics and Computer Science of NSTU-NETI has created a prototype platform for transport logistics, which allows it to handle a large volume of orders — from thousands of requests per day. The development is based on mathematical methods.
"This is a set of methods, algorithms and models, on the basis of which we have created a program that allows us to optimally build routes for various transport and manufacturing companies, retail chains. This makes it possible to significantly reduce the delivery time and total vehicle mileage, which leads to lower fuel costs and fleet maintenance, as well as improved service quality. One of the important advantages of our development is the ability to optimize the delivery of goods or services to a large number of locations, from a thousand or more per day," said Vitaly Karmanov, Associate Professor of the Department of Theoretical and Applied Computer Science, Candidate of Technical Sciences.
The software created at NSTU-NET is distinguished not only by the ability to calculate logistics taking into account thousands of delivery points, but also by its versatility: the platform implies refinement for the tasks of a specific customer. Artificial intelligence helps to create convenient conditions for planning, coordinating and controlling the movement of goods or services.
"Along with traditional approaches based on heuristics and metaheuristics, the program uses machine learning and artificial intelligence technologies — these are our author's developments and methods that are currently just beginning to be applied in this field," said Vitaly Karmanov.
The scientist added that under his leadership, the Faculty of Applied Mathematics and Computer Science has been conducting research on the topic of optimal logistics, which combines not only transport supplies, but also other types of infrastructure — warehouse, industrial, and energy. One of these developments was StockEasy's AI inventory management system for retail, industrial enterprises, and e-commerce.