Modern Distribution Management

Lantern Launches to Modernize Demand Forecasting for Distributors

Newly launched startup Lantern uses machine learning to help distributors forecast demand and optimize purchasing decisions — ...
Retail TouchPoints

Machine Learning-Based Demand Forecasting For Fast Adaptability To Changes

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 ...
EDN

ToolsGroup is First to Raise Demand Forecasting Accuracy by Embedding Machine Learning Technology

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.
Supply Chain

Supply Chain Forecasting: The Machine Learning Revolution

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 ...
Nasdaq

Plex Systems Introduces Machine Learning to Help Companies Improve Demand Forecasting Accuracy

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

Emergency Department Demand Forecasting Using Machine Learning and Time Series Analysis

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 ...
Business Wire

Plex Systems Introduces Machine Learning to Help Companies Improve Demand Forecasting Accuracy

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 ...