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Rising use of big data, growing demand for greater transparency and visibility into supply chain data and processes, and increasing adoption of AI.

PORTLAND, PORTLAND, OR, UNITED STATE, December 3, 2021 /EINPresswire.com/ -- Rise in endorsement for big data projects is a major factor that drives the adoption of artificial intelligence in supply chain management market to help end users improve consumer services experiences and satisfaction. As data analytics is considered among one of the essential technologies that translates

Big Data into meaningful insights, many industries prefer analytics solutions into their supply chain. In inventory management, an important supply chain discipline, most companies use simple equations to set their inventory targets. Using advanced analytics upon big data such as Multi-Echelon Inventory Optimization (MEIO), companies can optimize their inventory by 20 to 30% of optimized processes and storage.

Major players analyzed in the market include Amazon Web Services, Inc., IBM Corporation, Intel Corporation, Logility, Inc., Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, SAP SE, and Xilinx, Inc.

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MEIO are basically used to optimize the inventory levels to match the demand in the market. Thus, the need to improve ROI and to provide better visualization technologies such as AI is being adopted at a high rate, which in turn is driving the growth of the market.

Artificial Intelligence represents a digital system. Breach of sensitive business information can be a big problem, if companies don’t invest in high quality protection systems. One security incident can endanger supply chain performance at a significant rate. Moreover, it is not always easy to replace old technologies and focus on AI to the full extent.

Prime Benefits from this Research Report:

• This study presents the analytical depiction of the global artificial intelligence in supply chain industry along with the current trends and future estimations to determine the imminent investment pockets.

• The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the global market share.

• The current market is quantitatively analyzed from 2020 to 2027 to highlight the global Artificial Intelligence in supply Chain market growth scenario.

• Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market.

• The report provides a detailed market analysis based on the present and future competitive intensity of the market.

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