Nowadays when users navigate in internet they find lots of types of communication scattered across diverse sites. Due to the lack of users’ interests in advertisements, primarily caused by not matching their preferences, today’s advertisements have a low rate of success. Recently, owing to semantic web generation, some companies started to use personalized marketing in communication as a way to turn the conversions around and thus increase customer retention and loyalty. As a matter of fact, the retention and loyalty stages on the internet are, on average, the least crafted of the whole cycle. The customers’ conception of one-to-one marketing is quite ambiguous as they conceive that they need to be more efficient while shopping online but at the same time they feel stalked due to privacy concerns, and oversaturated with non-valuable information. The purpose of this paper is to explore from a holistic view online personalized communication strategies and how they can be implemented in order to increase customer satisfaction thus retaining customers and, in the long-term, gaining their loyalty. The main communication areas the study treats ranges from onsite the online store, where the company wants to sell the product, to offsite advertisements in websites, social media platforms and via email. In the empirical section, the study carried out a quantitative online survey to investigate customers’ perception and complete it with the literature. To answer the research questions, the study identified 19 hypotheses comprising of all primary aspects that define the exploration. The result could be gold dust for e-shop managers to help them maximize the marketing communication factor using personalization. The authors identified potential improvements to motivate customers to register in the online shop, whether communication channels are suited to implementing the strategy or not, and possible aspects to adapt in order to obtain maximal benefits. There were some limitations in terms of an analysis of the companies’ point of view and the necessity to analyze every communication channel more in depth as the study is an initial step.

Multi-agent robot systems, especially for mobile robots in dynamic environments interacting with humans, have seen an increased interest over the past years. Many vehicle manufactures (e.g.Volvo GTO) have been following the trend and has started investigating a possible implementation of an autonomous-transport robot system for material delivery in production environments.First implementations of a system have been built using ROS2 and initialising static amounts of participating robots.Throughout this thesis, scalability is emphasised to enhance and add new use cases to the system.This thesis investigates possible improvements for the system by adding a dynamic connection handling, which allows robots to connect and disconnect under the system's run time.Furthermore, the performance of the connection handling in the system is evaluated in simulation for increasing system complexity in terms of the amount of connected robots.The first part of the thesis presents an approach for the dynamic connection and disconnection of robots to the network using service client communication approaches.An implementation is tested in a simulation based on an excerpt from the legacy system.Furthermore, two methods are proposed for detecting possible communication losses. The thesis work simulates the increase of the number of robots in the system at different publishing rates. It compares a many to one communication approach, where multiple robots communicate to a central node over one topic, to the one to one communication approach, where multiple robots communicate over particular topics to a central node.The simulations have shown that with an increase of nodes, the average data age and the data miss ratio in the one to one approach were significantly lower than in the multi to one approach.