Predictive Analysis in Agri-Commodity Market Supply-Demand Shifts
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Predictive Analysis in Agri-Commodity Market Supply-Demand Shifts
The global agricultural commodities market has historically been influenced by factors such as weather conditions, geopolitical events, logistics, and changing consumer preferences. Recently, the use of predictive analytics has improved how traders and other stakeholders respond to these factors. Predictive analytics uses large sets of data – such as historical prices, weather patterns, crop yields, and economic indicators – to forecast future m…
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