Modernizing Point-of-Sale (POS) Systems with Cloud and AI
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V3I4P111Keywords:
Point-of-Sale (POS) Systems, Cloud Computing, Artificial Intelligence (AI), Retail Technology, Hospitality Industry, Predictive Analytics, Inventory Management, Customer Experience, Fraud DetectionAbstract
The modernization of Point-of-Sale (POS) systems is critical to meet the evolving demands of the retail and hospitality industries. Traditional POS systems, often reliant on on-premises hardware and limited software capabilities, face challenges such as scalability issues, high maintenance costs, and inflexibility. Recent advancements in cloud computing and Artificial Intelligence (AI) have facilitated significant transformations in POS technologies, offering scalable, secure, and efficient alternatives. Cloud computing provides benefits such as centralized data management, real-time access, and enhanced security, while AI enables smarter, more personalized customer experiences through predictive analytics, automation, and fraud detection. This paper explores the integration of cloud and AI in modern POS systems, evaluating their impact on operational efficiency, cost-effectiveness, and customer satisfaction. Case studies highlight how businesses across various sectors are leveraging these technologies to improve transaction processes, enhance customer insights, and optimize inventory management. Furthermore, the paper discusses the challenges associated with this modernization, including technical barriers, security risks, and the costs of implementation. The research concludes by projecting future trends in POS technology, emphasizing the synergy between cloud and AI in shaping the future of retail and service-based industries.
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References
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