Intelligent Forecasting: a quick win for suppliers and manufacturers!
April 17, 2020
from 4:00 PM
to 4:45 PM
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.
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.
Reply's Webinars series covers all industries and spans the latest innovation trends.