Smart Logistics Facing the Challenges of Operational Efficiency and Customer Experience
DOI:
https://doi.org/10.63969/1vkan015Keywords:
smart logistics, digital transformation, operational efficiency, customer experience, emerging technologiesAbstract
Digital transformation has driven profound changes in logistics, introducing new ways to manage operations and interact with customers. In recent years, the integration of technologies such as IoT, artificial intelligence, data analytics and automation has contributed to improvements in productivity, traceability and responsiveness (Wamba et al., 2020; Deloitte, 2024). In light of these developments, this study examines how digitalization applied to smart logistics influences operational efficiency and customer experience, both of which are essential in increasingly dynamic markets. A systematic review was conducted following PRISMA guidelines, complemented by the analysis of documented cases from 2020 to 2025 involving companies that have implemented technological solutions in their logistics processes. The findings reveal reductions in operational costs, faster delivery times and greater information transparency, factors that enhance customer perception and strengthen their interaction with logistics services. Although clear benefits are observed, challenges persist, particularly those related to resistance to change, limited digital skills and budget constraints, which may slow the adoption of emerging technologies. Overall, the results show that smart logistics does not rely solely on technology; instead, it requires a balanced combination of innovation, human capabilities and management strategies that support sustainable competitiveness.
References
Abdirad, M., & Krishnan, K. (2020). Industria 4.0 en Logística y Gestión de la Cadena de Suministro: Una revisión sistemática de la literatura. Revista de Gestión de Ingeniería, 33(3), 187–201. https://doi.org/10.1080/10429247.2020.1783935
Bag, S., Gupta, S., Kumar, S., & Sivarajah, U. (2021). Role of technological dimensions of green supply chain management practices in company performance. Journal of Enterprise Information Management, 34 (1): 1–27. https://doi.org/10.1108/JEIM-10-2019-0324
Chen W., Men Y., Fuster N., Osorio C, Juan A. A. Artificial intelligence in logistics optimization with sustainable criteria: a review. Sustainability. 2024; 16(21):9145. https://doi.org/10.3390/su16219145
Culot, G., Nassimbeni, G., Orzes, G., & Sartor, M. (2020). Behind the definition of Industry 4.0: Analysis and open questions. International Journal of Production Economics, 226, 107617. https://doi.org/10.1016/j.ijpe.2020.107617
Deiva Ganesh, A., Kalpana, P. (2022). Futuro de la inteligencia artificial y su influencia en la gestión de riesgos de la cadena de suministro – Una revisión sistemática. Computers & Industrial Engineering, 169, 108206. https://doi.org/10.1016/j.cie.2022.108206
Deloitte. (2024). Digital supply chain and logistics outlook. Deloitte Insights. https://www2.deloitte.com/global/en/insights.html
Dubey, R, Bryde, DJ, Blome, C, Roubaud, D & Giannakis, M. (2021). Facilitating Artificial Intelligence powered Supply Chain Analytics through Alliance Management during the pandemic crises in the B2B context. Gestión de Marketing Industrial, 96. pp. 135-146. https://doi.org/10.1016/j.indmarman.2021.05.003
Ivanov, D., Dolgui, A. (2020). Un gemelo digital de la cadena de suministro para gestionar los riesgos de disrupción y la resiliencia en la era de la Industria 4.0. Planificación y Control de Producción, 32(9), 775–788. https://doi.org/10.1080/09537287.2020.1768450
Jiang, Y., Wang, X., (2024). Transformación digital, capacidad de innovación y velocidad de internacionalización. Cartas de investigación en finanzas, 67, Parte A., 105448, 445–467. https://doi.org/10.1016/j.frl.2024.105448
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2020). Lograr un rendimiento sostenible en una cadena de suministro agrícola basada en datos: una revisión para investigación y aplicaciones. International Journal of Production Economics, 219, 179-194. https://doi.org/10.1016/j.ijpe.2019.05.022
Kouhizadeh, M., Saberi, S., & Sarkis, J. (2021). Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers. International Journal of Production Economics, 231, 107831, https://doi.org/10.1016/j.ijpe.2020.107831.
Muhunzi D, Kitambala L, & Mashauri HL. (2024) Análisis de big data en el sector sanitario: oportunidades y desafíos en países en desarrollo. Una revisión bibliográfica. Revista de Informática Sanitaria, 30(4). https://doi.org/10.1177/14604582241294217
Queiroz, M.M., Wamba, S.F., Bourmont, M.D., & Telles, R. (2020). Adoption of blockchain in supply chain operations and management: empirical evidence from an emerging economy. International Journal of Production Research, 59, 6087 - 6103. https://doi.org/10.1080/00207543.2020.1803511
Sodhi, M. S., Tang, C. S. (2020). Gestión de la cadena de suministro para condiciones extremas: oportunidades de investigación, Journal of Supply Chain Management, Institute for Supply Management, vol. 57(1), 7-16. https://doi.org/10.1111/jscm.12255
Wamba, S. F., Queiroz, M. M., & Trinchera, L. (2020). Dynamics between the determinants of blockchain adoption and supply chain performance: an empirical investigation International Journal of Production Economics. 229, 107791. https://doi.org/10.1016/j.ijpe.2020.107791
Zheng, T., Ardolino, M., Bacchetti, A., & Perona, M. (2020). The applications of Industry 4.0 technologies in manufacturing: A systematic literature review. International Journal of Production Research, 59(6), 1922–1954. https://doi.org/10.1080/00207543.2020.1824085
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Krussheska Del Carmen Ching Ruíz (Autor/a)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Los artículos publicados en la revista se distribuyen bajo la licencia Creative Commons Atribución 4.0 Internacional (CC BY 4.0). Esta licencia permite a terceros descargar, copiar, distribuir, adaptar y reutilizar una obra, incluso con fines comerciales, siempre que se otorgue el crédito adecuado al autor original.