AI-based solutions can optimize the overall supply chain process by predicting problems in advance and proactively prescribing solutions to manage such disruptions.
Warehouses face continuing headwinds from e-commerce demand and labor shortages. Automation has gradually gained acceptance as a way to improve efficiency throughout, while holding onto a finite workforce with better working conditions.
Vision capabilities provide warehousing workers and operations with simplicity, efficiency, and accuracy in generating, communicating and performing tasks that systems based on voice, radio frequency and paper can’t.
Manufacturers, distributors and retailers need to pivot to a smart just-in-telligent methodology, blending just-in-time and just-in-case with the science of artificial intelligence (AI) and automation.
The pandemic, as well as geopolitical challenges, have triggered a rise in digitization across industry sectors, and manufacturing and logistics are no exception.
Artificial intelligence has penetrated virtually every aspect of modern life, and last-mile delivery is no exception, says Bart De Muynck, chief industry officer with project 44.
Data storage managers should aim to extend the life of their data center hardware, move data to the cloud whenever possible, and delete data that is simply wasting space and money.
The latest news, analysis, trends and solutions for artificial intelligence (AI) and its impact on supply chain management. New AI technologies are transforming the way companies do business — and allowing them to stay ahead of the competition in their industries. As these solutions continue to evolve, businesses are discovering new ways to increase efficiency and cut costs. Learn how companies around the world are improving operations through their strategic use of AI and machine learning technologies for supply chain management.
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