Inteligencia Artificial en el pronóstico de ventas: Revisión sistemática de la literatura científica (2018-2024)
DOI:
https://doi.org/10.62325/10.62325/yachana.v14.n2.2025.1006Palabras clave:
Venta, inteligencia artificial, aprendizaje, mercadosResumen
Esta revisión sistemática de la literatura analiza el estado del arte en el uso de inteligencia artificial (IA) para la previsión de ventas en diversos sectores. Aplicando el enfoque PRISMA 2020, se identificaron inicialmente 1.042 registros en bases de datos científicas de alto impacto, de los cuales 25 estudios cumplieron con todos los criterios de inclusión tras un riguroso proceso de selección y evaluación. El análisis cualitativo y cuantitativo revela un crecimiento sostenido en la adopción de técnicas de IA, con especial énfasis en redes neuronales recurrentes, modelos de aprendizaje profundo, máquinas de vectores de soporte y enfoques híbridos. Los resultados muestran mejoras significativas en la precisión predictiva en comparación con los modelos tradicionales, aunque persisten desafíos relacionados con la calidad de los datos, la replicabilidad y la interpretabilidad de los modelos. También se discuten las principales lagunas metodológicas, las implicaciones prácticas y las futuras direcciones de investigación, con énfasis en el desarrollo de modelos explicables validados en contextos empresariales reales, especialmente para pymes en mercados emergentes.
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