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Trends 2021: Machine Learning

Enterra Insights

Journalist Cindy Baker writes, “Experts predict artificial intelligence and machine learning will enter a golden age in 2021, solving some of the hardest business problems.”[3] ”[3] Below are some of the machine learning trends subject matter experts predict will have an impact in the coming year. trillion in income.

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Cutting Emissions Through Better Transportation Planning

Logistics Viewpoints

Oracle’s TMS has built in analytics to make these estimates. Oracle has set a target to achieve net zero emissions by 2050, and to halve their greenhouse gas emissions across their value chain by 2030. That means, over time, the TMS could get better at predicting emissions on a particular route.

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The Future of xP&A and Supply Chain Planning – Part 2

Supply Chain Trend

It requires planning highly integrated with other business functions, a transformation of analytics , and a business partner culture, which combined lead to the requirement for modern FP&A skills in the workforce. And McKinsey estimates a 24% rise in social and emotional skills demand by 2030.

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Trends 2021: Consumer Packaged Goods

Enterra Insights

Numbers from data analytics firm Earnest Research, which tracks credit and debit card transactions, show that since March [2020], U.S. adults have spent more than double on online groceries than they did [in 2019].” The Census Bureau predicts that the majority of children will be nonwhite by 2023.”[5] Footnotes. [1]

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Technology Support in Integrated Business Planning: Automation, Augmentation and Human Centricity

Supply Chain Trend

Preview In his 2019 Foresight article, Niels van Hove examined eight technological hurdles that must be overcome to enable autonomous or ‘lights out’ supply-chain planning. Augmentation maintains the centricity of human input in the planning cycles but expands supply chain knowledge with insights, predictions, and recommendations.

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7 Supply Chain Technology Trends Set to Disrupt Supply Chains in 2017 and Beyond

Arkieva

The push will be for manufacturers to get better about analyzing disparate data sources, sensing demand, actually predicting market drivers, and responding quickly and precisely to enhanced customer expectations throughout 2017. Big Data Analytics. Read Also: Customer-Centric Supply Chain Planning: The Difference is in the Details.

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Real-World Impacts of Artificial Intelligence

Enterra Insights

Journalist Elizabeth Hunvio reports, “Research has shown that 45% of total economic gains by the year 2030 will be from stimulating consumer demand, and product enhancements — all because AI will drive greater product variety, with increased attractiveness, personalization, and affordability over time.”[6] ” Footnotes. [1]