Abstract
This work is a proposal of an analytical intelligence model for the discontinuation of products in a transnational soft drink company. The objective is to identify products that due to their volume and sales value should leave the company’s catalog. For this, the integration of an analytical intelligence model that considers unsupervised classification algorithms integrating key information about the products to be evaluated is proposed. The results generated show that the product classification makes it possible to identify a set of products that are candidates for discontinuation due to their volumes and sales value, likewise, the detailed information of these products allows evaluating the characteristics of the cluster to be discontinued and thus planning production and distribution in the medium and long term. The planned model allows timely monitoring of the discontinuation process automatically as well as the monitoring of executive reports through the cloud.
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Loy-García, G., Rodríguez-Aguilar, R., Marmolejo-Saucedo, JA. (2021). An Analytical Intelligence Model to Discontinue Products in a Transnational Company. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2020. Advances in Intelligent Systems and Computing, vol 1324. Springer, Cham. https://doi.org/10.1007/978-3-030-68154-8_70
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