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Best practices for enhancing customer centricity through digital solutions

The first part of the thesis considers the concept of a customer-centric approach and the best practices of digital solutions for achieving this approach through an improved customer experience.In the second part of the thesis, the data-driven decision-making method is discussed, as well as the existing tools for analysing data and matrices for evaluating customer success. Furthermore, it examines the successful implementation of digital solutions to enhance customer experience at companies such as Netflix and Spotify.The third part of the thesis is devoted to an analysis of the Latvian online food delivery market. The analysis includes an examination of the current market situation, the identification and comparison of the main players on the market, and an identification of the needs and expectations of users. In the fourth part of the thesis, the findings of the previous sections are used to identify the best practices for digital solutions to improve the customer experience in online food delivery applications. In addition, the possible aspects to meet user needs are identified and recommendations are made.

Author: Alisa Purviņa

Supervisor: Oksana Skorobogatova

Degree: Bachelor

Year: 2024

Work Language: English

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

Green transport solutions in a medium-sized courier company

This paper produces an analysis of the Latvia-based courier delivery company DPD Latvija to determine its possibilities and evaluate sustainable solutions that it has implemented already. The obtained results are used to select suitable green transport solutions using multi-criteria decision making and cost-benefit analysis methods and to develop appropriate recommendations that help to improve the sustainable solutions already used in the company or to introduce new ones.The main green transport solutions covered by the research are the most impactful ones and include switching to electric vehicles, usage of alternative fuels such as CNG, biodiesel and hydrogen cell, and an innovative model of crowdshipping. There are several more solutions covered in the research that can be used to increase a company's contribution to decarbonization.The resulting framework or action plan, can help the company make best investments in implementing green transportation solutions to reduce greenhouse gas emissions and potentially attract new customers. The added value of the work is the opportunity for another Latvian medium-sized courier company to use the proposed framework as a basis for creating its own plan.

Author: Ernests Grahoļskis

Supervisor: Aleksandrs Kotļars

Degree: Master

Year: 2024

Work Language: Latvian

Design of the concept of innovative development of the enterprise

The first part is devoted to theoretical considerations about the theory of innovation, the innovation process as a company's continuous innovative development.In the second part, it is described that vegetable cultivation is important in the agricultural sector, the main players in the market, both in the agricultural sector and in the vegetable processing markets, and the economic factors are analyzed.The third part describes the way the company operates, growing and selling vegetables, the idea and establishment of the company. What investments are needed to achieve better productivity and improve product quality.In the fourth part, the company's development plan regarding innovative developments in lyophilization, the development of management decision-making criteria, the description of the proposed company's development scenarios and the compilation, justification of the project budget, the opinion of consumers, are developed. Evaluation of the results obtained as a result of the implementation of the new concept.Practical value - the main task of developing the company's development strategy is to become an example for placing the company in a leading position and increasing productivity.

Author: Irina Judina

Supervisor: Oksana Skorobogatova

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Business and Management

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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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