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Big Data in the Supply Chain – Infographic

by Dr Mark van Rijmenam•
Intel Data Center GPU codenamed Crescent Island architectural slide showcasing Xe3P AI optimized GPU IP, up to 480GB LPDDR5x memory capacity, and a 350W air-cooled PCIe form factor.
Intel’s Crescent Island GPU targets AI inference economics by prioritizing massive LPDDR5x memory capacity over costly HBM architectures within a practical 350W air-cooled design.

Big data can have a large impact on the supply chain and that is exactly how the majority of executives think about it. Using the different sales data, product sensor data, market information, events and news happening in the world, competitor data and weather conditions can give insights in the expected demand of products used or required in the supply chain. Using predictive algorithms the inventory can be optimized for Just-in-Time delivery and inventory based on real-time demand forecasts. Collaboration with different players within the chain can help to shape demand for all organizations within the supply chain to deliver a better B2B and B2C experience.

Big Data in the Supply Chain

This data was extracted from Eyefortransports 2013 Supply Chain Big Data Report.  

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