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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

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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Website Development for Organisation of Leisure and Entertainment of ABC Software Сompany Staff

Development of a website for the organization of recreation and entertainment of employees of the ABC Software company", A. Saveljevs. Supervisor lecturer, Mg. sc. comp. K. Kostykina..DESIGN, PROGRAMMING, TESTING, PHP, MySQL, Apache, OpenServeThe work is dedicated to the development of the web, which would ensure faster and more convenient self-organization of work and rest.

Author: Aleksejs Saveļjevs

Supervisor: Karina Kostjkina

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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Company Ekl/Ls Ltd personnel selection and recruitment system's procedure improvement

Company Ekl/Ls Ltd personnel selection and recruitment system's procedure improvement.The aim of the paper is to collect information on the process of search, attraction and selection of personnel, to identify the shortcomings of the process of search and selection of personnel on the example of EKL/LS Ltd. and to provide recommendations for their improvement.In accordance with the aim of the work, the following tasks were set:To look at the theoretical foundations of recruitment and selectionTo identify the characteristics of EKL/LS Ltd.To analyse the management system of EKL/LS Ltd.To analyse the recruitment and selection system of EKL/LS Ltd.Identify the main problems in recruitment and selection at EKL/LS Ltd.Develop recommendations for improving the recruitment and selection system at EKL/LS Ltd.

Author: Anastasija Horoļska

Supervisor: Tamila Mišāne

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Business and Management

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Development of Decision Support Tool for Transport Forwarding Company Operating within Netherlands and Italy

This paper investigates the development of a decision support tool for a Latvian transportation company operating in the Dutch and Italian markets. Models and algorithms for optimizing freight routes using Excel and Python are included. Digitalization of logistics processes is recognized as a key to improve efficiency and reduce costs. Two methods for solving the traveling salesman problem were examined and compared: Excel with Solver and Python with the NetworkX library.The methodology involved collecting data from Google My Maps, creating Excel spreadsheets, and developing Python software to automate route optimization. The results showed that both methods improved route planning, reducing time and cost, as well as reducing carbon footprint.The study emphasizes the importance of integrating technologies such as machine learning and big data into logistics to increase flexibility and adaptability. Recommendations were offered to further improve and implement these technologies for sustainable business development and increased competitiveness in international markets.

Author: Anastasija Škaduna

Supervisor: Berdymyrat Ovezmyradov

Degree: Professional Bachelor

Year: 2024

Work Language: English

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