Využití technologií data mining v rámci interaktivního smlouvání v retailu

This thesis deals with the issue of data mining technology within interative bargaining in retail with closer focus on the implementation of data models and related rules, which support interactive haggling with the customer. The aim of the thesis is to prepare proposals for data models, calculations and rules that are involved in the haggling process with the customer. Prepared outputs are used in the demo application "Bargaining" and its application is showcased on the demonstrated examples. The work is divided into two main areas -- the theoretical definition of work and the analytical processing. The theory part includes available research work (resources), which will be used to characterise various thematic areas of the work - Customer Intelligence, Customer Lifetime Value, Data mining, Interactive marketing, negotiation techniques and Setting prices. Analytical processing is focused on the practical use of the acquired knowledge. It iis the calculation of selected values, their processing and application within the Bargaining process with the customer. In conclusion, all the results, reaching the goals and the recommendations for the development or modification of the solution, will be assessed. The anticipated benefit of the application is its use in the negotiation between the trader and the customer, without dropping the agreed sales price during realised business below the expenditure costs. It is about ensuring the interaction, where the customer is allowed to negotiate the price of goods but the trader ensures that the price will not result in a loss. The benefit of the solution is the support of the customer satisfaction with regards to the financial interests of the detail industry.