This research aims to ensure efficiency in the Peruvian organic coffee supply chain. Advanced Machine Learning techniques will be applied to improve the accuracy of the international demand forecast. For the forecast, data has been collected from the annual export record in tons from 2003 to 2022. The application of Machine Learning in this context provides important benefits, such as the ability to adapt to changing data patterns, identify non-linear relationships between variables and the ability to continuously improve as new data is incorporated, providing more intelligent decisions that directly contribute to the competitiveness and sustainability of the Peruvian organic coffee export industry.
Implementation of Machine Learning in the Forecasting of International Demand for Peruvian Organic Coffee
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