Regular Issue - 2
UniRetail is an innovative mobile application designed to revolutionize retail operations by integrating advanced machine learning ML capabilities and modern technologies. The platform enables retailers to centralize and streamline critical functions, including inventory management, dynamic pricing, and targeted promotions, while delivering a seamless, personalized shopping experience for customers. Machine learning algorithms are at the core of UniRetail, empowering store owners with predictive analytics for demand forecasting, personalized product recommendations using collaborative filtering, and customer segmentation through clustering techniques. Natural language processing NLP enhances product search and filtering, while sentiment analysis refines customer feedback to improve service quality. Additionally, fraud detection models ensure secure and efficient multi-payment checkouts. UniRetail’s robust, cloud-based architecture, built on microservices, supports scalability and integrates seamlessly with existing retail systems. The use of technologies like TensorFlow, PyTorch, and Apache Spark ensures efficient data processing and real-time ML model deployment through Kubernetes and AWS SageMaker. By uniting operational efficiency, data driven insights, and customer engagement, UniRetail aims to be a transformative tool for modern retail enterprises, helping them thrive in the digital landscape.
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Publisher’s note: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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