Citas bibligráficas
Herrera, M., (2023). Optimización de procesos de ventas de Satcom Seguridad Integral S.A.C, Cusco 2023 [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/671154
Herrera, M., Optimización de procesos de ventas de Satcom Seguridad Integral S.A.C, Cusco 2023 [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/671154
@misc{renati/411776,
title = "Optimización de procesos de ventas de Satcom Seguridad Integral S.A.C, Cusco 2023",
author = "Herrera Garcia, Manuel Adrian",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
The research titled “Optimizing the sales process of Satcom Seguridad Integral S.A.C located in Cusco 2023“ focuses on evaluating strategies aimed at improving the economic performance of the company. To conduct this study, a qualitative approach was employed, involving the collection of primary data through interviews with employees directly or indirectly involved in the sales process, internal company analysis, market and financial studies, as well as the review of organizational charts and job manuals. Additionally, secondary source research was conducted to strengthen the theoretical framework and gain a comprehensive understanding of concepts related to the sales process, marketing strategies, digitalization, and customer experience enhancement. The stage of alternative evaluation was carried out using a factor weighting method to determine the most effective solutions for the company. The analysis concluded that the optimal strategy involves a combination of digital prospecting and in-person visits in the sales process. This mixed approach is considered the most suitable for achieving satisfactory economic results. In summary, this research contributes valuable insights to Satcom Seguridad Integral S.A.C by identifying a more effective sales strategy. The results suggest a path toward improving economic outcomes and customer satisfaction, supported by a comprehensive analysis of primary and secondary data, as well as a robust methodology for strategic decision-making.
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons