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Tuesday, June 08, 2021

AI and Machine Learning in Supply Chain Logistics

Am a  long time player in the space.  Here a good overview of general example of work being done in supply chain with AI style approaches.  Not enough detail, but can provoke some usage ideas.

Artificial Intelligence and Machine Learning Drive the Future of Supply Chain Logistics

The transportation management industry uses artificial intelligence and machine learning to gain greater process efficiency and performance visibility.

By Paul Beavers, PCS Software   May 16, 2021

Artificial intelligence (AI) is more accessible than ever and is increasingly used to improve business operations and outcomes, not only in transportation and logistics management, but also in diverse fields like finance, healthcare, retail and others. An Oxford Economics and NTT DATA survey of 1,000 business leaders https://us.nttdata.com/en/-/media/nttdataamerica/files/gated-asset/ntt-data-ai-accelerated-report.pdf  conducted in early 2020 reveals that 96% of companies were at least researching AI solutions, and over 70% had either fully implemented or at least piloted the technology.

Nearly half of survey respondents said failure to implement AI would cause them to lose customers, with 44% reporting their company’s bottom line would suffer without it.

Simply put, AI enables companies to parse vast quantities of business data to make well-informed and critical business decisions fast. And, the transportation management industry specifically is using this intelligence and its companion technology, machine learning (ML), to gain greater process efficiency and performance visibility driving impactful changes bolstering the bottom line. ... "

1 comment:

danish said...

I Like to add one more important thing here, The Global Artificial Intelligence (AI) In Supply Chain market is expected to around US$ 14 Billion by 2025 at a CAGR of 40% in the given forecast period.