| DC Field | Value | Language |
|---|
| dc.contributor.author | Chaika, A. E. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2026-08-12T09:13:16Z | - |
| dc.date.available | 2026-08-12T09:13:16Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier.citation | Chaika, A. E. Optimization of warehouse logistics using artificial intelligence / A. E. Chaika // Актуальные вопросы экономики и информационных технологий : сборник материалов докладов 62-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 13–17 апреля 2026 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2026. – С. 793. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/65393 | - |
| dc.description.abstract | This paper analyzes the application of artificial intelligence technology in warehouse logistics optimization. The study focuses on warehouse operations automation, inventory management, and demand forecasting. Key benefits of AI implementation were identified, including improved operational efficiency, reduced costs, and improved accuracy in logistics processes. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | warehouse logistics | en_US |
| dc.subject | artificial intelligence | en_US |
| dc.subject | warehouse automation | en_US |
| dc.subject | intelligent control systems | en_US |
| dc.subject | logistics efficiency | en_US |
| dc.subject | machine learning | en_US |
| dc.subject | warehouse robotics | en_US |
| dc.title | Optimization of warehouse logistics using artificial intelligence | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Актуальные вопросы экономики и информационных технологий : материалы 62-й научной конференции аспирантов, магистрантов и студентов (2026)
|
