Forecasts to optimize inventories through neural networks in SMEs


  • Marco Antonio Acosta Mendizabal
  • Iván Azamar Palma
  • Claudia Guzman Barrera
  • Virginia Aguilar Guerrero
  • Consuelo Ceron Rodriguez
  • Martha Guadalupe Morales Huerta
  • Arnulfo Romero Chavez
  • Cristóbal Estrada Acosta



artificial neural networks, SMEs, inventories


Currently, with globalization and competitiveness, SMEs must make quality forecasts in their inventories and merchandise replacement. Therefore, artificial neural networks are an important technique in the forecasting of linear time series, which allows companies to reduce their inventory costs and improve service to their customers. With the training of the networks, it will be possible to have criteria . aimed at solving this type of problems with the help of programmable algorithms. 



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How to Cite

Mendizabal, M. A. A., Palma, I. A., Barrera, C. G., Guerrero, V. A., Rodriguez, C. C., Huerta, M. G. M., Chavez, A. R., & Acosta, C. E. (2023). Forecasts to optimize inventories through neural networks in SMEs. South Florida Journal of Development, 4(10), 3787–3800.

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