In the knowledge-based economy , it is the knowledge about market offer and products’ quality that assures the e-Procurement process’s performance. A simple price comparison or a juxtaposition of technical features for a small set of products is insufficient for a good investment decision , especially regarding the IT hardware field. The paper aims to propose an automated web content mining framework to classify e-commerce products based on a Total Quality Management (TQM) approach. The main beneficiary of this framework include: companies that must adopt an IT investment decision considering the quality-price trade-off, IT providers that could identify opportunities for strategic alliances based on product quality ressemblance , IT consultant etc.

      Keywords: e-commerce, software agent, knowledge discovery, TQM STEM method, IT investments