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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
             3.  Real-Time Price Monitoring
             The system continuously tracks price updates and notifies users of discounts, price drops, and flash sales. This ensures that
             users get the best deals without spending excessive time searching.
             4.  Historical Price Analysis
             Graphical representations of price trends help users make better decisions by identifying the most cost-effective time to
             purchase. This feature forecasts seasonal price patterns to aid planning.
             5.  User-Friendly Interface
             The intuitive design provides filtering options for price range, product category, and brand preferences. Whether accessed via
             desktop or mobile, the system ensures smooth navigation.
             6.  Secure Payment Gateway
             Multiple payment methods, including digital wallets and UPI, make transactions secure and hassle-free.
             7.  Personalized Recommendations
             By using machine learning algorithms, the system delivers tailored products suggestions based on user behavior, preferences,
             and browsing history.


































             4.  METHODOLOGY
             The implementation focuses on developing a robust, efficient, and scalable price comparison system. Below  are  the  core
             components of the system:
               Data Collection:
             ·   Product data is aggregated using APIs and web scraping techniques from trusted online retailers.
             ·   The  collected  information  includes  details  such  as  price,  stock availability, and user reviews.

               Data Storage and Management:
             ·   A centralized  database  is  utilized  to  ensure  secure  and  efficient handling of product details.
             ·   Optimized storage solutions enable quick data retrieval for large- scale comparisons.

               Price Comparison Algorithm:
             ·   The  algorithm  matches  identical  products  across  retailers  using unique identifiers and specifications.
             ·   Advanced techniques ensure accurate comparisons even for varying product descriptions.

               User Interface Design:
             ·   An intuitive and user-friendly interface is created with advanced  filtering options.
             ·   Consumers can easily search, sort, and compare products based on their preferences.

               Real-Time Updates:
             ·   The system incorporates mechanisms for real-time data updates to reflect the latest product prices and stock availability.
             ·   Webhooks  and  scheduled  tasks  ensure  seamless  synchronization with retailer databases.

               Scalability:
             ·   The platform is designed to handle a growing number of users and products without performance degradation.


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