Many systems of electronic commerce are processing and submitting just the economic information for decisions, and applying economic models as well. However the alternatives under consideration have to be evaluate not only in economic position, but taking into consideration the qualitative, technical and other characteristics too. For example, the analysis of property is being usually performed taking into account economic, quality (architectural, aesthetic, comfortability), infrastructural, technical, legal, technological, social and other factors. Therefore, efficiency of e-commerce may be increased applying the multiple criteria decision support systems. This article is indented to provide how application of multiple criteria decision support system developed by authors could increase the efficiency of e-commerce of property. The suggested system are better compared with other online systems, because the intelligent agents here are comparing a number of alternatives different parameters with each other. The article also includes a short description of the interested parties that could apply suggested systems in their activities and capabilities of systems. Presentation of information in commercial property, dwellings, farmer's homestead estates and other types of property Web pages may be in conceptual (digital, textual, graphical, photographical, video) and quantitative forms. Thus, quantitative information presentation involves criteria systems and subsystems, units of measurement, values and initial significances fully defining the variants provided. Quantitative information of property is submitted in a form of grouped decision making matrix, where the columns mean n property under valuation, and rows include quantitative information. Conceptual information means a conceptual description of the property, the criteria and ways of determining their values and significances, etc. Conceptual information is needed to make more complete and accurate valuation of the property considered. In this way, system enables the decision maker to get various conceptual and quantitative information on property from a database and a model-base allowing him to analyze the above factors and make an efficient solution.