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Ultimate Guide To Technologies That Are Transforming Supply Chains

The Logistics & Supply Chain Management Society

According to PricewaterhouseCoopers, AI’s potential contribution to the global economy by 2030 is USD15.7 Thanks to AI, companies can automate functions such as demand forecasting, capacity and production planning and predictive maintenance. Advanced and predictive analytics. That’s an increase from 17% in 2017.

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Trends 2022: Quantum Computing

Enterra Insights

According to the Venture Beat staff, “Sixty-nine percent of global enterprises have already adopted or plan to adopt quantum computing in the near term, according to a new survey of enterprise leaders commissioned by Zapata Computing. That milestone might not be so far off, though. ” Footnotes. [1]

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Trends Transforming Logistics and Supply Chains In the MENA Region in 2023

The Logistics & Supply Chain Management Society

Companies that predict demand, will be able to respond efficiently. Investing in data analytics along with innovations in big data will have a significant impact on the business. 2022 Realities vs 2023 Predictions. The Green Corridor: Predictions Are In The Green! Data is paramount for the logistics industry.

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The Consumer Packages Goods Sector in the Digital Age

Enterra Insights

An ABI Research press release notes, “Manufacturers of consumer-packaged goods are utilizing analytics to anticipate customer demand and optimize their processes.”[2] ”[2] The company’s research predicts the CPG sector will spend increased amounts of revenue on digital transformation efforts over the next decade.

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Groundhog Day

Supply Chain Shaman

According to folklore, if it is cloudy when a Groundhog emerges fro m the burrow, then the forecast of an early spring is predicted. If it is sunny, and the groundhog sees his shadow, then the groundhog retreats back into the hole and the prediction is for winter weather to persist for six more weeks. Supply Chain 2030.

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The Future of Analytics in Integrated Business Planning

Supply Chain Trend

According to Wikipedia , prescriptive analysis is – after descriptive and predictive analysis -the third and final stage of business analytics. Gartner plots prescriptive analysis as the final and most difficult stage of data analytics. Elon Musk recently told analyst that Tesla is two years away from self-driving cars.

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E-Commerce is Gaining Momentum

Enterra Insights

Many pundits note, as a result of lockdowns and store closures, e-commerce sales rushed years ahead of predicted totals. Of those surveyed, … 34% have greater expectations of fast online retail delivery than they did a year ago — in fact, 70% will choose a retailer based solely on delivery speed.”[7] Footnotes. [1]