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Development of an information management application for a logistics company

The thesis "Development of an Information Management Application for a Logistics Company" analyzes information management systems in the logistics sector and proposes the development of a new application. The work includes an analysis of existing logistics information systems, determination of requirements for a new application, design of its architecture, development, testing, and user experience evaluation. The results show that the developed system has demonstrated its ability to improve management processes.

Author: Aleksejs Orlovs

Supervisor: Olga Dribeņeca

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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Application of machine learning in decision support system

The aim of the work is to improve the accuracy of predicting wait times in an existing queue management system using machine learning. Client-provided data was analyzed, and models were trained using various machine learning algorithms. Performance measures of the models were collected, and the best one was selected. Additionally, software and a database were developed to manage the training process and evaluate the quality of the models. The quality of the software was assessed using industry-standard methodologies and tested.

Author: Jevgēnijs Nikolajevs

Supervisor: Jeļena Kijonoka

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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