data science - Arkieva

Part 1: How Natural Language Processing (NLP) Can Benefit the Supply Chain

Natural language processing (NLP) in supply chain software can increase accessibility to more users. Find out how your organization can benefit.

By
Karel Lintermans
February 1st, 2022
Artificial Intelligence, Data Science, Machine Learning, Models, Supply Chain

Tools of the Trade: How to Compare / Combine Diverse Time Series – “Normalizing”

A reoccurring challenge in comparing and combining diverse time series in demand forecasting is the “scale” – as it is in combining metrics. Rescaling is a powerful but simple method to help with this issue enabling demand planners to focus on similarities of shape. This blog provides an example of one method called normalization.