Forbes contributors publish independent expert analyses and insights. I cover logistics and supply chain management. I admit it: I’m struggling around part of the machine learning story when it comes ...

Demand forecasting methods have been used in retail for a long time. Most of them are based on historical data, which is no longer useful in the new COVID-19 reality. If you used an ML-powered demand ...

Yet most demand forecasting systems today often produce disappointing results and significant forecast errors. The standard models found in these systems cannot easily identify trends in the data.

Picture a single forecasting mistake triggering a cascade of negative consequences, such as surplus inventory, strained supplier relationships and disappointed customers. In today's world, accurate ...

In today’s fiercely competitive and fast-evolving marketplace, the capacity to clearly comprehend and satisfy customer demand is the most important determinant of business success. A strong demand ...

MILWAUKEE--(BUSINESS WIRE)--Plex Systems, a Rockwell Automation company and a leader in cloud-delivered smart manufacturing solutions, today announced new machine learning capabilities for Plex ...

Traditionally, CRM solutions have been unreliable for sales forecasting. Companies have dealt with inaccuracies and blamed their bad data. However, things are starting to change thanks to artificial ...

Recent advances in forecasting demand within emergency departments (EDs) have been bolstered by the integration of machine learning and time series analytical techniques. The objective of these ...

Forbes contributors publish independent expert analyses and insights. I cover logistics and supply chain management. While machine learning and artificial intelligence (AI) have been used in supply ...

Plex DemandCaster Supply Chain Planning with Machine Learning Increases Predictability and Responsiveness Manufacturers need more sophisticated supply chain planning technology in response to ...