Saluwadana, R.B.Hemachandra, K.A.N.W.Jayasinghe, L.M.R.Ahnaf HassanarGamage, M.P.2022-03-142022-03-142019-12-05978-1-7281-4170-1/19https://rda.sliit.lk/handle/123456789/1601Nowadays merchants’ focus on sending specifics about their sales offers to prospective customers through electronic means. But customers are neutral about those messages if they are away from those shops. Therefore, the authors decided to implement a mobile application to send location-based sales offer notifications to customers in order to overcome this problem, with some additional features. The main features in the proposed system are to filter out sales offer details from social media, send location-based notifications containing details of offers to customers, provide personalized search predictions during search, and provide recommendations to merchants to improve their business. Modern technologies like Machine Learning (ML), Deep Learning (DL) and Natural Language Processing (NLP) are used to build the solution for this problem. The main advantage of the proposed system is that customers are attracted more towards the sales offers since they receive them when they are close by to the relevant shop. Also, merchants can reach targeted customers resulting in a more effective marketing campaign. The survey conducted proved that both customers and merchants are highly satisfied with the effectiveness of the product.enMachine LearningNatural Language ProcessingText ExtractionRecommendationsSearch PredictionsReview AnalysisArticle10.1109/ICAC49085.2019.9103347