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Improving the performance of logistics company using CRM and other techniques.

This thesis delves into the implementation and impact of Customer Relationship Management (CRM) systems within the logistics industry, with a detailed case study of Orion Lift. The research encompasses a thorough financial analysis and logistical performance evaluation post-CRM integration. Orion Lift, a local logistics company, faced several operational challenges, including inefficiencies in customer management and high operational costs. By integrating a CRM system, the company aimed to streamline its processes, enhance customer satisfaction, and improve overall business performance.Financial metrics were meticulously calculated before and after the CRM implementation. The results indicate substantial improvements across all metrics, with notable increases in revenue and customer retention rates, and reductions in operational costs and customer acquisition costs. The thesis also discusses the potential financial and operational benefits of CRM systems, supported by comparative analysis with other effective CRM implementations in the logistics sector. Overall, the thesis provides a comprehensive assessment of the benefits of CRM systems in logistics, using Orion Lift as a case study.

Author: Aleksandr Usmanov

Supervisor: Genadijs Gromovs

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

Application of innovative technologies to organize control over the movement of freight transport.

Bachelor work: „Application of innovative technologies to organize control over the movement of freight transport”.Author of the paper: Anzelika Davidova.Scientific supervisor: Lecturer (program director), Mg. oec. Aleksandrs Kotļars.Paper for obtaining the degree: „Transport and Business Logistics”.The research goal: The goal of this thesis is to develop recommendations for optimizing freight transport traffic control by analyzing innovative technologies such as blockchain, IoT, autonomous vehicles, and ICT.Research object: Management and organization of freight transport traffic control systems.Research subject: Application of blockchain technology to enhance and innovate freight transport traffic control systems.Chapter 1: The role and importance of freight transport in business and entrepreneurship, including its importance in supply chain management and economic contribution.Chapter 2: Analysis of freight transport, with an emphasis on its efficiency, the situation in Latvia and environmental aspects.Chapter 3: Application of innovative technologies in the field of freight transportation, including automated vehicles, autonomous drones and blockchain.

Author: Anželika Davidova

Supervisor: Aleksandrs Kotļars

Degree: Professional Bachelor

Year: 2024

Work Language: English

Improving the efficiency of SIA Ultramarine Services seafarers' recruitment company

The first part of the thesis compiles theoretical insights on the research topic, including operational efficiency, its evaluation, influencing factors, promotion possibilities, and the efficiency of the personnel selection process. The second part of the thesis is dedicated to the characterization of the studied company, covering the company's main areas of activity and results, as well as describing the main business processes related to personnel selection. In the third section, a practical study is conducted on the efficiency of the company's operations and the sailor selection process. It includes an analysis of the company's performance indicators, a comparison with industry averages, and an analysis of survey results. Based on the research findings, recommendations are provided to the company with the aim of improving its efficiency.

Author: Darja Guseva

Supervisor: Genadijs Gromovs

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

Intermodal and unimodal freight transport and its efficiency

In the literature review of the bachelor thesis the available information in the scientific literature on the theoretical aspects of intermodal and unimodal freight transport is summarized, including an analysis of European transport statistics and companies views on these modes of transport. The thesis describes the organization of intermodal and unimodal transport and analyses a survey of logistics companies in order to understand the advantages and disadvantages of these modes of transport. The practical part presents a research project on intermodal and unimodal transport and its efficiency.

Author: Kristīne Pobeda

Supervisor: Aleksandrs Kotļars

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

Assessing the Viability of Natural Language Processing Applications within an Electronic Checklist
System for Freight Forwarders: Rule-based Information Extraction from Cargo Descriptions.

This study investigates the application of Natural Language Processing (NLP) within electronic checklist systems to enhance cargo description and securing practices for freight forwarders. The logistics industry faces significant challenges due to complex and varied legislation and the need for autonomous validation tools for cargo securing. This research aims to develop a rule-based Named Entity Recognition (NER) model to standardize and automate the extraction of entities from cargo descriptions. Key components of this study include the development of an entity extraction mechanism using regular expressions and standardized codes. The research demonstrates the potential of NLP solutions to generate precise, dynamic checklists from detailed cargo descriptions, ensuring that all pertinent tasks are covered. The developed NER model's effectiveness is evaluated through a series of experiments, showcasing high precision, recall, and F1 scores, thus highlighting its practical applicability in real-world logistics operations. The findings underscore the importance of standardizing cargo-related information to facilitate the broader adoption of automated NLP solutions in the logistics industry.

Author: Nikita Mickevičs

Supervisor: Dmitry Pavlyuk

Degree: Professional Bachelor

Year: 2024

Work Language: English

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