Karel Lintermans - Author & Contributor at 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

Part 2: How Natural Language Processing (NLP) Can Benefit the Supply Chain – Internal Unstructured Data

We know how to deal with structured data but working with unstructured data might be a bit more time consuming and challenging. There are multiple solutions that NLP offers to transform your unstructured enterprise data to structured data.

By
Karel Lintermans
March 15th, 2022
Analytics, Data Analysis, Data Science, Machine Learning, S&OP, Supply Chain

Part 3: How NLP Benefits the Supply Chain – Internal Structured Data

This blog discusses how utilizing a semantic parsing method can help a less experienced user transform their data questions into advanced database queries, and how it can help detect errors in datasets.