Retail Customer Analytics using Fog Computing

Description

using statistical methods eg. market basket analysis, Apriori, Time series clustering, etc. to do Retail Customer Analytics. The idea is to to lessen cart abandonment and improve customer engagement using near-instant edge analytics — where sales data, images, coupons used, traffic patterns, and videos are created — provides unprecedented insights into consumer behavior. This intelligence can help retailers better target merchandise, sales, and promotions and help redesign store layouts and product placement to improve the customer experience. paper should look something like https://www.sciencedirect.com/science/article/pii/S2352864818301081