A proposal of artificial intelligence and data mining in e-commerce pricing

Internet which is common bazaar of our century thrive day by day and as a result of this, companies offer products on this environment widely. On the other hand While consumers visit their websites they gain every information about their products or services. Everyday billions transactions occur on this E-Commerce named environment. But existing of very much count product alternatives and competitior leads to very low success rates of companies. An also there are more failure shops opposite to traditional companies at B2C which is branch of E-commerce and has lower sectoral barriers. At this point, it would be needed rather than dynamic tools which provide dynamic decisions. It is intended in this study to design of an expert system that will take decisions about product selection, sales point selection and pricing topics. Within this scope a hundred different products was selected from showcases of popular online shops and data about pricing competition of these products at 1408 stores was gathered by developing a bot software. Gained informations was analyzed by using artifical neural network which is both supervised and unsupervised learning and as a result of this analysis proposal of a system was developed for e-commerce companies.