Contact

Subject *

Office *

Your Contact Information

Last name *

First name *

Company *

Country *

Email *

Telephone *

Your message *

Kepler pays the greatest attention to your personal data and undertakes to protect them, so that their collection and processing, carried out from this site, comply with Law No. 78-17 of 6 January 1978 amended relating to information technology, files and freedoms as well as to Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 applicable on May 25, 2018. These data are not transmitted to third parties and their shelf life is limited to 13 months from collection. For any questions about the processing of your data in this device, you can contact our data protection officer via our contact page. This form is protected by reCAPTCHA and the privacy policy and terms of service from Google apply.

Your message is sent.

Job Application

Last Name *

First Name *

Email *

Telephone *

Position *

Your message *

Attach files

You can attach a total of 4 files, for a maximum combined file size of 10 MB.

Maximum files size exceeded (10 MB max.)

Select a file…

Select a file…

Select a file…

Select a file…

Kepler pays the greatest attention to your personal data and undertakes to protect them, so that their collection and processing, carried out from this site, comply with Law No. 78-17 of 6 January 1978 amended relating to information technology, files and freedoms as well as to Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 applicable on May 25, 2018. These data are not transmitted to third parties and their shelf life is limited to 13 months from collection. For any questions about the processing of your data in this device, you can contact our data protection officer via our contact page. This form is protected by reCAPTCHA and the privacy policy and terms of service from Google apply.

Your job application has been sent successfully.

Turbo-Charge Cost Savings Utilizing Machine Learning

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.

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).

Appointment

Yannig LE ROUX is Appointed Director at KEPLER

7 Dec. 2022

Appointment

SÉBASTIEN LAURENT IS APPOINTED SENIOR ADVISOR AT KEPLER

7 Nov. 2022

Insight

Coping with rising prices by means of a functional analysis and capturing value through Procurement-Innovation articulation

28 Apr. 2022

Home
KEPLER Mag
Turbo-Charge Cost Savings Utilizing Machine Learning