Applicability of Markov chains to improve the supply of agroecological products in intermediate cities

It is important to note that commercial aspects cannot be left to chance, nor can we rely on intuition. Successful management is critical to identifying the right tools for a projection. Using the correct forecasting method, administrators can base their decision-making process on good historical information based on market developments. This will help us determine any positive or negative phenomena that we can use as an advantage for our business. The main objective of this research is to apply Markov chains as a mathematical model that reduces the error in the projection of the supply of agroecological products that typically use linear models. From this, we also seek to know the current offer in the quantity of these products. Finally, an average reduction of 70.6% in the projection of the supply of agroecological products was obtained by applying Markov's chains, compared to traditional linear methods.