International Journal of Research and Development in Engineering Sciences https://www.ijrdes.com M. Anjankumar 7 2 (March - April) 2025 03 March-April enRetail OperationsMLPersonalized ShoppingInventory ManagementNLPFraud Detection. 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 multipayment checkouts UniRetails robust cloudbased 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 realtime 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 Copyright (c) 2026 International Journal of Research and Development in Engineering Sciences. All rights reserved. 2025 All Rights Reserved