OfferConnect: Location Based Offer Recommendation System
Shubham Ghuge, Dhaval Chheda, Arya Gupta -, Anand Godbole · International Journal For Multidisciplinary Research · 2024
In the digital commerce era, the significance of customized promotions for individual users has reached new heights. This research paper introduces an innovative application designed to transform personalized marketing strategies by incorporating a Location-Based Offer Recommendation System (LBORS). The proposed system not only leverages user location data to dynamically recommend offers from nearby shops but also ensures that customers receive discounts, establishing a win-win situation for both customers and marketers. This approach aims to create a seamless and context-aware shopping experience, enhancing the overall value proposition for users. The system employs a sophisticated algorithm that combines geospatial analytics, user preferences, and historical data to accurately identify and present relevant offers to users based on their current geographical location. By integrating real-time location information, the application ensures that users receive timely and contextually appropriate promotions, thereby maximizing the likelihood of engagement and conversion.