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Machine Learning


Latest posts about Machine Learning

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The Brave New World of Logistics: A Primer
Across every industry, there’s buzz about artificial intelligence (AI), machine learning (ML), automation, optimization engines, and other advanced technologies. But what do these terms mean for the logistics industry? Will self-driving trucks ever be a reality? What exactly is a data cloud? Should we be excited or scared by the possibilities created by today’s rapid technological innovations?

First-to-Last Mile Optimization for Manufacturing
The six advanced technologies outlined in this eBook work together to create a truly digital supply chain for manufacturing. They optimize manufacturing logistics networks to be as seamless as possible, increase collaboration across organizations, and enable both inbound and outbound visibility and control.

Supply Chain Executives Are Turning to Technology and AI/ML to Navigate Challenges
Supply chain disruptions continue, but companies are adapting with investments in technology to improve efficiencies.

Adopting AI Responsibly Guidelines for Procurement of AI Solutions by the Private Sector
To establish standards for responsible AI practices, GEP has collaborated with the World Economic Forum and prepared this comprehensive report. The report lays down a customizable framework to help businesses adopt ethical AI technology. It has detailed assessment criteria, supplier questionnaires and insights on how to overlay all of it with strong governance.

New Inventory Problems Expose Old Supply Chain Weaknesses
Companies are trying all manner of ways to rid themselves of bloated inventories at a time when they typically build inventory for the end-of-year holiday season. How did they find themselves in such a mess?

AI and machine learning are transforming inventory optimization
One of Zebra's recent acquisitions, antuit.ai is taking a new approach to inventory optimization

Artificial Intelligence Buyer’s Guide
The pressing need for agile and resilient decision-making has made AI essential for supply chain management; as a result, most executives are no longer asking whether to invest, but where to invest.

How Automation Makes Handling Customer Inquiries Easy to Achieve With a Digital Assistant
Many of today’s modern enterprises are stuck having at least one full-time employee who lives and breathes the central email box, and their job is solely to open every email that comes into the enterprise and try to figure out what exactly the customer might be asking for.

How Machine-Learning Solutions Drive Order Management Excellence
Download this Customer Service Workbook to discover industry tips and best practices for bringing efficiency and profitability to order management while freeing up your Corporate Social Responsibilities.

New Transportation Insight platform offers single ‘port to porch’ access point
Entitled Beon, TI said that this new platform gives shippers and carriers a single point of access to access both TI’s and Atlanta-based Nolan Transportation Group’s (NTG) logistics network and services, “from port to porch.”

Accenture on Operations: Why supply chain innovation paves the road to resilience
Supply chain executives should reflect on past challenges to identify potential areas of weakness and continue innovating for the future, with a resilient supply chain top of mind.

Accenture on Operations: From ones and zeros to supply chain heroes
Today the lifeblood of business is data. How companies leverage data is what separates leaders from laggards.

Study: Companies investing in AI/ML to address disruptions, e-commerce, and labor shortages
Survey from Blue Yonder finds over half of logistics executives plan to implement more sustainable operations across materials sourcing, suppliers, and manufacturing

3 Ways Artificial Intelligence/AI Can Help With Supply Chain Digital Transformation
Making supply chain software smarter with AI has many benefits; lowering costs and risks, provides more operational efficiency, and truly optimizes inventory and warehouse management for any real-world scenario.

Making Sense of AI and Machine Learning for the DC
The majority of DCs do not use engineered standards to plan, manage and optimize their operations today; machine learning tools can fill this void without adding new burdens on management and engineering teams.


 


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