Using dynamic pricing data for competitive intelligence

Abstract

This bachelor's thesis examines dynamic pricing data as a competitive intelligence tool in e-commerce, focusing on Amazon.de. It details a methodology for collecting and analyzing longitudinal price and Best Sellers Rank data. By analyzing specific product variants, the re- search demonstrates how smaller sellers can leverage this information for demand estimation, inventory optimization, and strategic decision-making in a data-driven market.