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Costifier is a machine learning software for supplier-specific target price prediction and supplier experience and capability assessment for the products to be supplied to help cost effective and sustainable supplier selection of enterprises. The processes for supply management begin with the evaluation of the proposals and the selection of the cost effective supplier. Incoming proposals can be financially wide-ranging and inconsistent. Due to the calendar risk, the companies shortlist supplier alternatives by putting the cost in the second plan and work with the limited number of suppliers. This situation causes the supply chain not to be used at full capacity, increasing costs and constantly going the work to the same companies. On the supplier side, suppliers can not predict costs accurately, they either bid too low causing to lose money or too high causing not getting the job. By creating supplier specific machine learning models from the supplier’s previous data (or proposals data or market data whichever is available), Costifier calculates supplier-specific target prices for products and provides supplier experience and capability assessment about the part to be supplied. Highly accurate models are created that reflect the cost characteristics of suppliers with using supplier data rather than using generic market average models. With this method, corporate companies prevent cost losses during the supply chain management, while minimizing the risk of wrong supplier selection.