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.

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.

The Role of sustainable Practices in Shaping Customer Behavior in Latvian
Restaurants Chains.

The aim of this work is to investigate customers' attitudes towards sustainable practices implemented in fast food restaurants. In the context of modern ecological and social challenges, sustainable development is becoming an important part of business strategy, and fast food restaurants are starting to adopt various eco-friendly approaches, such as using environmentally clean packaging, minimizing food waste, improving energy efficiency, and supporting social initiatives. The work includes a theoretical overview of existing sustainable practices in the restaurant industry, as well as an empirical study aimed at examining customer perceptions of these practices. To collect data, customer surveys from fast food restaurants were used. Special attention was given to the analysis of factors influencing consumers' attitudes towards sustainable practices, such as age, education level, and income. The study results showed that most customers are not fully aware of the benefits of sustainable practices in fast food restaurants. The conclusion of the work provides recommendations for fast food restaurants on improving the perception of sustainable practices and increasing customer loyalty.

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.

Improving efficiency and diversification of services inside a logistics company under price dumping.