
agricultural suppliers in Colombian food consumption. Trade Promotion Agreement (TPA), allowing for substantial gains in the market share of U.S. This process has been facilitated by the Colombia-U.S. These products include not only bulk commodities (such as grains, oilseeds, and meat) but also less traditional imports-such as packaged food, fuel ethanol, and convenience-store items. Increasing income, an expanding middle class, and dietary changes have led to greater demand for the types of agricultural products imported from the United States. agricultural exports to Colombia over the past decade (2009-19), giving emphasis to leading product categories that show opportunities for further export expansion. This report explores the performance of U.S. Finally, the gap between forecast and actual demand is bridged by employing a validation set, and it is further used for formulating correction strategies regarding production volumes. For example, regardless of whether the last fiscal year was a growth or recession year, the results suggest that the missing data for products with a high market share should be handled by the zero-filling method, whereas the mean imputation method should be for the average market share products.

The results show that a specific product needs to be represented by a dedicated model. In the empirical study, actual tray sales data and a comparison of different models that combine missing data processing methods and forecasters are employed.

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In this article, two propositions are presented: (1) a dedicated time series forecasting scheme, which is both accurate and sustainable, and (2) a practical observation of the data background to deal with the problem of missing data and to effectively formulate correction strategies after predictions. To deal with high market uncertainty, companies need a reliable and sustainable forecasting mechanism. If not appropriately addressed, it usually leads to failed modeling and distorted forecasting. The problem of missing data is frequently met in time series analysis.
