Chicago, IL – September 12, 2019 – GAINSystems is pleased to announce the creation of two new positions to the Executive Team by welcoming Geoffroy de Carbonnel as SVP Product & Strategy and Dan Dodd as Director of Professional Services… [Read More]
GAINS Research Group to be held October 9-10, 2019 in Chicago
GAINSystems will be hosting its annual GAINS Research Group (GRG) in at the University of Chicago Gleacher Center on October 9th and 10th this year. This conference is a gathering of the current GAINS user base to present updates and… [Read More]
Planning for a Hurricane: How your Supply Chain can Survive Natural Disasters
Hurricane Season happens every year all around the world at varying degrees. The 2017 season alone had 17 named storms, 6 of which were major (Category 3 or stronger) hurricanes. Of these, the U.N. World Meteorological Organization (WMO) has retired… [Read More]
GAINSystems at 2018 Gartner Supply Chain Executive Conference
GAINSystems announced that the company will bring together two supply chain leaders for a speaking session during the Gartner Supply Chain Executive Conference 2018. The conference, located at the JW Marriott Phoenix Desert Ridge Resort & Spa in Phoenix, AZ, will be held May… [Read More]
7 Key Considerations for Supply Chain Planning Implementations
In her October 2017 Supply Chain Planning strategy document, Gartner analyst Amber Salley details 7 key considerations that help supply chain leaders overcome these challenges by narrowing the project focus, tackling data issues, building support and working with third parties…. [Read More]
Q: What are some approaches of Machine Learning? (Continued)
A: There are two approaches related to supply chain planning; the second is “Unsupervised Learning.” (the first was explained here) The Unsupervised Learning approaches are Similarity Matching and Clustering. These approaches are where the system looks for patterns in the… [Read More]
Q: What are some approaches of Machine Learning?
A: There are two approaches (related to supply chain planning); the first is “Supervised Learning.” The Supervised Learning approaches are Classification and Regression. These approaches are where the system has a known target and has learned based on a set… [Read More]
Q: Why do I care about Machine Learning for my supply chain?
A: Because of the staggering number of decisions, variables, and trade-offs you have to make each day. With literally hundreds of thousands of SKU/Location combinations including your own products at company, distributor/retailer, customer and vendor facilities, it is impossible to… [Read More]
Q&A: How does machine learning work in Supply Chain Planning and Optimization?
A: Machine Learning applications actually learn. By contrast, traditional applications just do. Machine Learning is a form of artificial intelligence in which a computer actually learns from multiple data sets, which means that the Machine Learning algorithm is not entirely… [Read More]
GAINSystems Selected for Supply Chain Planning by Leading Distributors
GAINSystems announced continued leadership in distribution supply chains with five new customer wins. ABSA Group, BlackHawk Industrial, Randa Accessories, Safelite AutoGlass, and United Performance Metals have all selected GAINSystems, further extending an impressive list of distributors using GAINS to optimize… [Read More]
