Webinar 2 Jun. 2020
Turbo-Charge Cost Savings Utilizing Machine Learning
Presenting our Machine Learning approach applied to Costing and Procurement Savings, we will set out the results of a recent project that was carried out for an industrial player in the United States. Using Easy-Kost modeling capabilities we were able to boost purchasing gains and negotiation capabilities. The method is relevant for direct and indirect costs.
KEPLER and EasyKost have developed an innovative approach using costing software technology to quickly identify and capture purchasing gains within your main categories (direct and indirect). The artificial intelligence algorithms applied to your data make it possible to identify and maximize the savings opportunities through renegotiation of suppliers, reallocation of volumes or even standardization / technical optimization.
Yannig LE ROUX is Appointed Director at KEPLER7 Dec. 2022