Turbo-Charge Cost Savings Utilizing Machine Learning
Webinar Replay 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.

 

EasyKost is a publisher of cost estimation and modeling software based on artificial intelligence algorithms. Alongside with KEPLER they have developed an innovative approach using costing software technology to quickly identify and capture purchasing gains within your main categories (direct and indirect).