Intelligent Forecasting: a quick win for suppliers and manufacturers!

WEBINAR (Italian Language)

April 17, 2020 | from 4.00 to 4.45 p.m. CET

Contact Us

Before filling out the registration form, please read the Privacy notice pursuant to Article 13 of EU Regulation 2016/679

Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input

Privacy


I declare that I have read and fully understood the Privacy Notice and I hereby express my consent to the processing of my personal data by Reply SpA for marketing purposes, in particular to receive promotional and commercial communications or information regarding company events or webinars, using automated contact means (e.g. SMS, MMS, fax, email and web applications) or traditional methods (e.g. phone calls and paper mail).

INTELLIGENT FORECASTING

A forecasting model that can effectively predict the quantity of products sold or consumed is becoming a mandatory and critical element for all types of companies. Accurate forecasting aids with reduction of unnecessary spending, proper scheduling of production/staffing and avoiding missing potential opportunities.

Data Reply organized this webinar to see real world examples of how artificial intelligence can effectively improve manufacturing processes, and to exploit a powerful combination of two time series algorithms to leverage the intrinsic knowledge on data and to provide accurate results in a short time.

During the webinar, a representative of a multinational manifacturing company presented their experience.

WEBINAR OVERVIEW

In this webinar, Data Reply presented a couple of successful stories in the manufacturing field. In particular:

  • A statistical forecast engine that challenges different forecast algorithms, both classical ML and Deep Learning ones, in order to perform the most accurate prediction of sales data, considering also the overall product hierarchy.
  • How to do predictive quality analytics exploiting data-driven ML models. This enables to identify how machine parameters and environmental conditions affect the final product quality, leading to the anticipation of potential issues on the production line and to the identification of optimal machine settings.

When and Where

On April 17th 2020 from 4.00 to 4.45 p.m. CET

The online session ran for 45 mins on Zoom.

REPLY WEBINARS

Reply's Webinars series covers all industries and spans the latest innovation trends.