Abstract: This project focuses on developing a Smart Inventory and Sales Analytics platform for an online marketplace. The system utilizes advanced technologies such as machine learning (ML), deep learning (DL), and optical character recognition (OCR) to streamline various operations like user registration, order management, product recommendations, and feedback analysis. The platform aims to enhance the experience for both users and administrators, offering secure login options, efficient order tracking, and personalized product suggestions.
The admin section of the platform provides a comprehensive dashboard for monitoring key metrics such as total users, products, and user feedback. Advanced NLP models (BERT and ALBERT) are used to analyze feedback and gain valuable insights into marketplace trends. Additionally, the admin has the ability to manage user permissions and track orders seamlessly. The platform also integrates OCR technology for Aadhaar card data extraction, simplifying the identity verification process.
For users, the platform provides a smooth registration and login process using fingerprint authentication, ensuring secure access. Users can browse products, manage their cart, and leave feedback, which is analyzed by the admin for sentiment insights. The platform also includes a chatbot, powered by AI, which provides personalized product recommendations and reviews based on user preferences.
Key technologies include deep learning for fingerprint recognition and OCR, machine learning for product recommendations, and natural language processing for feedback analysis. The combination of these technologies ensures that both the users’ and administrators’ needs are met efficiently while maintaining security and automation.
Keywords: Smart Inventory, Sales Analytics, Machine Learning, Deep Learning, Optical Character Recognition, Feedback Analysis, Product Recommendations, Fingerprint Authentication, Aadhaar Data Extraction, Chatbot, NLP.
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DOI:
10.17148/IJARCCE.2025.14321
