Online Shopping Reminder using Neural Network

Author(s)	Selvakumar Kalyanasundaram
Country	United States
Abstract	In the current fast world, grocery purchase in bricks and mortar are slowly declining. People prefer buying online rather than going to shop. All the purchases are done through the grocery App in Mobile. Likewise, the creation of Shopping list was moved from paper to mobile application due to the emergence of new technologies. As an additional improvement, this paper, provides a way to automate the entry of products list in the grocery list App. And reminds the customer exactly on time when he may need to buy. Thereby, it would be reminder tool for the customer. Also, it would be a tool for the merchant to keep the customer stay connected. Thereby keep the sales consistent. This paper shows how it could be achieved using the purchase history data in Feed forward neural network with latest optimization techniques. Hence, this analysis stands apart accuracy and performance wise from the earlier State of Art.
Keywords	Grocery list, Shopping list, Feed forward Neural Network, sklearn, TensorFlow and Keras
Field	Engineering
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-06-11
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.51759

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