Machine Learning

Top Performers Investing in, Benefitting from AI

Monday, April 1, 2024 · Brian Straight
Top-performing supply chains are investing in AI/ML at twice the rate of lower-performing supply chains, and they are using those investments to drive business momentum, Gartner has found.

Next-Gen SupplyChains: Underpinning your ability to manage complexity and drive innovation

Tuesday, January 9, 2024 · Ricardo Ernst, Michael Brown, and Mayank Sharma
Traditional supply chain engineering is no longer effective. But no single transformation model is universally useful. Instead, there are three pillars that should guide supply chain digitization.

Using Machine Learning to Smartly Stock Grocery Stores

Wednesday, November 22, 2023 · Duke University
Professor Kevin Shang of Duke University’s Fuqua School of Business has developed a machine-learning solution to allow grocers to stock optimal amounts of perishable food in their supply chains.

Generative AI: Gold rush or bust?

Friday, September 1, 2023 · Hiranmay Sarkar and Sourav Saha
As AI has swept across industries, the role it can play in supply chain transformation is still in the early stages of development.

Machine learning techniques in supply chain management

Wednesday, May 3, 2023 · Arindam Mukherjee
Organizations can gain a competitive edge and maximize profits by leveraging the power of technology to increase efficiency in their supply chain. But they need to understand what machine learning is, and is not, if they want to reduce costs, increase profits, and improve the…

3 supply chain challenges AI is solving

Monday, February 27, 2023 · Ashok Viswanathan
In recent years, technology advancements such as automation, connectivity, and data analytics have provided opportunities for the supply chain industry to make genuine breakthroughs.

Bringing AI to inventory optimization

Friday, September 9, 2022 · Bob Trebilcock
Antuit.ai is combining historical data and new sources of data with AI and machine learning to recommend promotion strategies and inventory allocation down to the shelf level.

Dematic and Dexterity partner on full-task robotics

Monday, August 22, 2022 · SCMR Staff
The partnership is expected to provide fully integrated, autonomous and scalable supply chain solutions in warehouses.

Don’t overlook the importance of KPIs in AI/ML projects

Thursday, September 2, 2021 · Maria Jesus Saenz, Ph.D., director of the MIT Digital Supply Chain Transformation Lab
Artificial Intelligence (AI) and Machine Learning (ML) can reshape the way KPIs are chosen and applied and facilitate the development of new ones.

Supply Chain Startup: Enabling the self-driving supply chain

Friday, September 4, 2020 · Bob Trebilcock
Aera Technology provides the tools to turn your data into actionable insights, across processes

Lean on Your Digital Twin to Optimize Performance

Monday, June 29, 2020 · SCMR Staff
In this webinar, we’ll explain why your digital twin needs to be a sandbox extension of your planning & operations platform – one that applies different statistical, machine learning, and AI algorithms along with various workflow options to solve problems.

Modex 2020: MRO, ML and AI

Tuesday, March 24, 2020 · Bob Trebilcock
Artificial Intelligence and Machine Learning may be the future of MRO, but we're not there yet.

Mistaken beliefs blunt the effectiveness of machine learning

Monday, March 4, 2019 · Daniel Merchan, research affiliate at the MIT Center for Transportation & Logistics
Over the last decade, we have witnessed an explosion of emerging machine learning (ML)-enabled solutions across industries from health care to supply chains, enhanced by algorithms capable of making better predictions based on past data.

Material Handling & Logistics Conference: Day 2.

Tuesday, September 11, 2018 · Bob Trebilcock
Can we talk about robots?

NextGen Supply Chain: Algorithm Council To Help Make Certain AI Pays Off

Wednesday, March 28, 2018 · Christopher G. Caine and George Bailey
When a product or service becomes a big hit, the supply chain has a hard time catching up with demand. When a product or service does not sell, then supply chains tend to be slow to reduce cost.
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