International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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OfferConnect: Location Based Offer Recommendation System

Author(s) Shubham Ghuge, Dhaval Chheda, Arya Gupta, Anand Godbole
Country India
Abstract 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.
Keywords Machine learning, Supervised Learning, Location based recommendation system, recommendation algorithms, Real-Time Information, Location-Based Services
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-25
Cite This OfferConnect: Location Based Offer Recommendation System - Shubham Ghuge, Dhaval Chheda, Arya Gupta, Anand Godbole - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.28835
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.28835
Short DOI https://doi.org/g8r8k8
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