Volume 11 - Volume 11
Shop Weatherly – A Weather based Smart E-Commerce System Using CNN
Abstract
In this current era of modern online shopping, people want to spend as little time as possible when it
comes to buying products, therefore they prefer online shopping. People go shopping when the
weather gets changed. For travelers, there is no such E-commerce platform that can recommend
clothes according to any city weather. Even when people want to gift clothes to someone living in
another country there is no such platform that gives recommendation of clothes according to that
city's weather. They usually face problems when they want to buy weather-based products from
various E-commerce platforms where they see mixed clothes of all types of weather which is very
time-consuming, they become so confused most of the time that they think about whether they should
buy or not. In this paper, we proposed a novel idea by using Convolutional Neural Network
Algorithm of deep learning for developing an e-commerce platform that is unique in a way that it
recommends clothes according to the city weather which provides hassle-free environment eventually
saves customer's time thereby increasing customer satisfaction.
Paper Details
PaperID: 2318
Author's Name: Jawaria Sallar, Sallar Khan, Shariq Ahmed, Parshan Kumar, Hasham Faridy and Mahaveer Rathi
Volume: Volume 11
Issues: Volume 11
Keywords: Shop Weatherly, Deep Learning, Artificial Intelligence, Convolutional Neural Networks, Ecommerce, Online Shopping, Weather based Smart Shopping.
Year: 2021
Month: July
Pages: 2785-2800