Resumen

OCUPA MENESES, Benjamin Di Deus  y  WONG CABANILLAS, Francisco Javier. Literature review: optimization of a company's sourcing process. Impulso [online]. 2025, vol.5, n.11, pp.393-407.  Epub 02-Jul-2025. ISSN 2959-9040.  https://doi.org/10.59659/impulso.v.5i11.151.

In today's business environment, the optimization of the sourcing process is essential for organizational competitiveness. The objective of this study was to systematize the scientific evidence on sourcing optimization in an advertising material company, through a qualitative systematic review following the PRISMA protocol. The search was conducted in Scopus, SciELO, ProQuest, Clinical Key and EBSCO, for the period 2018-2024, using the equation: “optimization” AND “Supply optimization”. The results identified categories related to systems that optimize operating times, highlighting predictive models, routing, automation, management (ABC/EOQ/ERI), plant design and decision making. The adoption of these models requires investment in automated systems and algorithms that improve planning, reduce response times and strengthen productivity and corporate image. It is concluded that the integration of emerging technologies, such as artificial intelligence and machine learning, generates significant cost reductions and substantial improvements in supply chain efficiency.

Palabras clave : Sourcing; Automation: Optimization; Prediction; Process; Supply chain.

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