AI’S ROLE IN TRANSFORMING CUSTOMER EXPERIENCE AND STREAMLINING SUPPLY CHAINS FOR GLOBAL BUSINESSES

Authors

DOI:

https://doi.org/10.31649/ins.2024.3.45.52

Keywords:

Artificial Intelligence, Customer Experience, International Business, Supply Chain Efficiency

Abstract

This research aimed to explore the impact of artificial intelligence (AI) on personalizing customer experience in international business and its benefits for companies in the global economy. It also evaluated AI's implications on supply chain management, focusing on efficiency and sustainability. Using a quantitative research approach and primary surveys with stakeholders in international business, the study revealed that AI significantly enhances supply chain management effectiveness through forecasting, financial operation optimization, and insight generation. AI technologies enable businesses to analyze vast amounts of data, accurately predicting customer preferences and behavior. This predictive capability enhances customer experience by providing personalized recommendations and services tailored to individual needs. For instance, AI can analyze purchasing patterns and browsing histories to suggest products that customers are likely to be interested in, thereby increasing the likelihood of purchase, and fostering customer loyalty. With AI and big data, businesses can develop precise opportunities for customer relationships, achieving higher market share and customer loyalty. AI-driven personalization strategies allow companies to target specific customer segments with customized marketing campaigns, improving engagement and conversion rates. Additionally, AI helps businesses understand and anticipate customer needs in different regions, allowing them to adapt their offerings to local preferences and trends. This regional adaptability is crucial in international business, where customer preferences can vary significantly across different markets. In supply chain management, AI's impact is profound. AI systems can optimize inventory management, predict demand fluctuations, and streamline logistics operations. By analyzing real-time data, AI can identify potential disruptions and suggest proactive measures to mitigate risks, ensuring a smooth and resilient supply chain. This capability not only enhances efficiency but also contributes to sustainability by reducing waste and improving resource utilization. In summary, AI plays a pivotal role in transforming customer experience and supply chain management in international business. By leveraging AI's predictive and analytical capabilities, companies can offer personalized services, enhance customer loyalty, and achieve higher efficiency and sustainability in their supply chain operations, ultimately benefiting the global economy.

Author Biography

KUAN ZHANG, Sumy State University

PhD student

References

Ameen, N., Tarhini, A., Reppel, A., & Anand, A. (2021). Customer experiences in the age of artificial intelligence. Computers in human behavior, 114, 106548.

Belhadi, A., Kamble, S., Jabbour, C. J. C., Gunasekaran, A., Ndubisi, N. O., & Venkatesh, M. (2021). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological forecasting and social change, 163, 120447.

El Abed, M., & Castro-Lopez, A. (2024). The impact of AI-powered technologies on aesthetic, cognitive and affective experience dimensions: a connected store experiment. Asia Pacific Journal of Marketing and Logistics, 36(3), 715-735.

Flynn, D., Rather, Z., Ĺrdal, A. R., D'Arco, S., Hansen, A. D., Cutululis, N. A., ... & Wang, Y. (2019). Technical impacts of high penetration levels of wind power on power system stability. Advances in Energy Systems: The Large‐scale Renewable Energy Integration Challenge, 47-65.

Goodarzian, F., Taleizadeh, A. A., Ghasemi, P., & Abraham, A. (2021). An integrated sustainable medical supply chain network during COVID-19. Engineering Applications of Artificial Intelligence, 100, 104188.

Ivanov, S. H., & Webster, C. (2017). Adoption of robots, artificial intelligence and service automation by travel, tourism, and hospitality companies–a cost-benefit analysis. Artificial Intelligence and Service Automation by Travel, Tourism and Hospitality Companies–A Cost-Benefit Analysis.

Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of marketing, 80(6), 69-96.

Lokanan, M. E., & Maddhesia, V. (2024). Supply chain fraud prediction with machine learning and artificial intelligence. International Journal of Production Research, 1-28.

Modgil, S., Singh, R. K., & Hannibal, C. (2022). Artificial intelligence for supply chain resilience: learning from Covid-19. The International Journal of Logistics Management, 33(4), 1246-1268.

Moliner, M. Á., Monferrer-Tirado, D., & Estrada-Guillén, M. (2018). Consequences of customer engagement and customer self-brand connection. Journal of Services Marketing, 32(4), 387-399.

Nam, H., & Kannan, P. K. (2020). Digital environment in global markets: Cross-cultural implications for evolving customer journeys. Journal of International Marketing, 28(1), 28-47.

Nguyen, N. P., & Mogaji, E. (2023). Artificial intelligence for seamless experience across channels. In Artificial Intelligence in Customer Service: The Next Frontier for Personalized Engagement (pp. 181-203). Cham: Springer International Publishing.

Olan, F., Arakpogun, E. O., Jayawickrama, U., Suklan, J., & Liu, S. (2022). Sustainable supply chain finance and supply networks: The role of artificial intelligence. IEEE Transactions on Engineering Management.

Olan, F., Suklan, J., Arakpogun, E. O., & Robson, A. (2021). Advancing consumer behavior: The role of artificial intelligence technologies and knowledge sharing. IEEE Transactions on Engineering Management.

Paluch, S., & Tuzovic, S. (2019). Persuaded self-tracking with wearable technology: carrot or stick? Journal of Services Marketing, 33(4), 436-448.

Pawlicka, K., & Bal, M. (2022). Sustainable Supply Chain Finances implementation model and Artificial Intelligence for innovative omnichannel logistics. Management, 26(1), 19-35.

Pournader, M., Ghaderi, H., Hassanzadegan, A., & Fahimnia, B. (2021). Artificial intelligence applications in supply chain management. International Journal of Production Economics, 241, 108250.

Prentice, C., & Nguyen, M. (2020). Engaging and retaining customers with AI and employee service. Journal of Retailing and Consumer Services, 56, 102186.

Rana, J., & Daultani, Y. (2023). Mapping the role and impact of artificial intelligence and machine learning applications in supply chain digital transformation: a bibliometric analysis. Operations Management Research, 16(4), 1641-1666.

Shen, M., Gu, A., Kang, J., Tang, X., Lin, X., Zhu, L., & Niyato, D. (2023). Blockchains for artificial intelligence of things: a comprehensive survey. IEEE Internet of Things Journal, 10(16), 14483-14506.

Sullivan, Y., & Wamba, S. (2022). Artificial intelligence, firm resilience to supply chain disruptions, and firm performance.

Trawnih, A., Al-Masaeed, S., Alsoud, M., & Alkufahy, A. (2022). Understanding artificial intelligence experience: A customer perspective. International Journal of Data and Network Science, 6(4), 1471-1484.

Trong, H. B., & Kim, U. B. T. (2020). Application of information and technology in supply chain management: case study of artificial intelligence–a mini review. European Journal of Engineering and Technology Research, 5(12), 19-23.

Tueanrat, Y., Papagiannidis, S., & Alamanos, E. (2021). A conceptual framework of the antecedents of customer journey satisfaction in omnichannel retailing. Journal of Retailing and Consumer Services, 61, 102550.

Upreti, K., Gangwar, D., Vats, P., Bhardwaj, R., Khatri, V., & Gautam, V. (2023, August). Artificial Neural Networks for Enhancing E-commerce: A Study on Improving Personalization, Recommendation, and Customer Experience. In International Conference on Electrical and Electronics Engineering (pp. 141-153). Singapore: Springer Nature Singapore.

Vlačić, B., Corbo, L., e Silva, S. C., & Dabić, M. (2021). The evolving role of artificial intelligence in marketing: A review and research agenda. Journal of business research, 128, 187-203.

Xidias, E., Zacharia, P., & Nearchou, A. (2022). Intelligent fleet management of autonomous vehicles for city logistics. Applied Intelligence, 52(15), 18030-18048.

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Published

2024-10-12

How to Cite

ZHANG, K. (2024). AI’S ROLE IN TRANSFORMING CUSTOMER EXPERIENCE AND STREAMLINING SUPPLY CHAINS FOR GLOBAL BUSINESSES. Innovation and Sustainability, (3), 45–52. https://doi.org/10.31649/ins.2024.3.45.52

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