Chatbots are going to be the main tool for automated conversations with customers. Still, there is no consistent methodology for choosing a suitable chatbot platform for a particular business. This paper proposes a new method for chatbot platform evaluation. To describe the current state of chatbot platforms, two high-level approaches to chatbot platform design are discussed and compared. WYSIWYG platforms aim to simplicity but may lack some advanced features. All-purpose chatbot platforms require extensive technical skills and are more expensive but give their users more freedom in chatbot design. We provide an evaluation of six major chatbot solutions. The proposed method for the chatbot selection is demonstrated on two sample businesses – a large bank and a small taxi service.

Moving to a new home or setting a new bureau in a new city is always difficult. One does not have knowledge about suitable locations; therefore, people are frequently unpleasantly surprised. High traffic noise, long distance to shops or high criminal activity are just few of many possible disturbing aspects. Certainly, there are many data sources that can help to see some particular aspect of the city life. Nonetheless, it is extremely complex and time‑consuming task to browse through large data sets and com‑pare provided information. Therefore, we developed a solution that comprises many different data sets that describe the city environment and created set of straightforward indices such as environment, safety, shopping etc. The users just provide the application his/her preferences and the application finds locations that are most suitable for particular cause. The application is presented on the example of the Brno city area.

Localisation via Wi‑Fi networks is one of the possible techniques which can be used for positioning inside buildings or in other places without the GPS signal. The accurate indoor positioning system can help users with localisation or navigation within unfamiliar places. Almost all buildings are covered with the Wi‑Fi signal. Using the currently existing infrastructure will minimise cost for construction other types of indoor positioning systems. Among other reasons, usage of Wi‑Fi for positioning is also convenient because almost every mobile device has a Wi‑Fi capability and therefore the system can be easily used by everyone. However, an important factor is the precision of such a solution. The article is focused on the evaluation of Wi‑Fi localisation precision within the university grounds.