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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.

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 w w w.suppl yc ha i ndi gi ta l. com