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 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.

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.

Improving the efficiency of the logistics firm's activity through the creation of a new warehouse

The thesis of work is improving the work of the company SIA “Autoparts” by organizing a new warehouse.Author: Danila LarionovsSupervisor: Dr. sc. ing. G. GromovsPaper for obtaining the degree „Professional Bachelor of Transport and BusinessLogistics”The work consists of 81 pages, 24 tables, 29 images, 23 referencesA WAREHOUSE, LOGISTICS PROCESSES, ORGANIZATION, COMPETITIVNESS, TRADE, CAR PARTS, STOCKSAim of the study. Designing a new warehouse that meets all company requirements, to improve the management and control of inventories.In the work’s first part are reviewed the theoretical foundations of warehousing, the types of warehousing and the main ways to improve performance.The second part describes the company SIA “Autoparts”, it’s core business, structure and main business processes.The third section analyses the company’s warehouse performance, identifying statistical data and performance gaps.The fourth section deals with the design of the new warehouse and the efficiency of the project.The final part analyses what has been done and draws conclusions based on the results.