2030 Predictive Analytics Procurement Transportation 
Supply Chain Collaborator
AUGUST 14, 2019
A whopping 87% of respondents believe next-gen tech will have transformative effect on transportation operations. It is no longer sufficient to manage transportation using best guesses. Using the historic shipping data captured in a TMS, shippers can make data-driven, predictive plans. Step 4 – Adopt 21 st century technology.
BlueYonder
OCTOBER 4, 2022
alone, by 2030 the costs of climate-change related workplace disruptions are expected to exceed $2 billion. For many disruptions, LCT can make AI-informed recommendations — such as adjusting production, inventory or transportation plans — to autonomously and seamlessly bring the supply chain back on track. In the U.S.
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ThroughPut
JUNE 17, 2022
McKinsey predicts that AI will create an entirely new “logistics paradigm” by 2030 as it easily outperforms manual efforts not only at repetitive but also mission-critical tasks. CoFortunately for most supply and demand chain and logistics operations, AI has been a game-changer.
Supply Chain Shaman
SEPTEMBER 13, 2016
The Supply Chain Insights Global Summit is over, but we hope the energy to define Supply Chain 2030 is just beginning. As companies prepare for Supply Chain 2030, we think that it is time to rethink the basics. As companies prepare for Supply Chain 2030, we think that it is time to rethink the basics. What does it take?
The Logistics & Supply Chain Management Society
FEBRUARY 15, 2021
Manufacturers can gather valuable granular data such as the time an item spent in storage, at what temperature, how long it took to sell, the length of time between purchase and fulfillment and how long it spent in transport. According to PricewaterhouseCoopers, AI’s potential contribution to the global economy by 2030 is USD15.7
Logistics Viewpoints
MARCH 31, 2022
With gasoline prices reaching record highs , transportation managers must make smarter decisions that minimize road miles and associated costs. Artificial intelligence (AI), machine learning (ML), predictive analytics and robotics once seemed incredibly sophisticated and out of reach — but today they’re easily accessible to every company.
Logility
SEPTEMBER 17, 2021
GSCM includes green initiatives to accomplish the ultimate goals: green materials, green production, reverse logistics, closed-loop supply chains, and green procurement and returns. It’s predicted that AI can reduce global greenhouse gas emissions by 4% by 2030, which is 2.4 Carbon Footprint and Energy Reduction .
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