IT SEES EVERYTHING
harness it to represent the realities of changing conditions . The capacity to measure and recognise external conditions is critical to predicting supply and demand . The autonomous supply chain requires a significant increase in external signals , which relies on the reporting of evolving climate and market conditions in real time .
So how can you read the signals ? Using artificial intelligence ( AI ), machine learning ( ML ) and IoT , you can manage and interpret signals such as weather events , temperatures jeopardising fresh products and any online social trends influencing customer demand . Businesses need to make use of as many signals as possible , because if dimensions are missing it will difficult to get a clear picture .
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IT SEES EVERYTHING
To truly understand their entire supply chain , businesses need to manage the complexity and volume of intelligence — billions of pieces of information that are time-stamped with their own varying amounts of information . Let ’ s set the stage : imagine sensors inside a lorry , which is on its way to deliver fresh goods to a grocery retailer . Sensors are able to detect the temperature inside and
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