Reinventing Fashion Retail with Data-Driven Solutions

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Kavija Sapukotana, Shadhir Ameen, Ashen Pradeep, Kulana Thathsara, E. Weerasinghe, Dilshan De Silva

Abstract

In this modern technological era, it has been normalized to have an e-commerce web application for each business around the globe. When it comes to garments business it more than a necessity it has become a fashion symbol to human nowadays, so for such kind of business having an e-commerce web application might be helpful but  if it can be more customized into further aspects like smart item suggestions and having a sales prediction mechanism, the business which holds such kind of technology are the ones who dominate the market in present. Smart suggestions help to increase sales by pursuing the customers and ensures effective customer satisfaction. This smart item suggestion is achieved through collaborative filtering using user-based suggestions and item-based suggestions mainly focusing the budget as the main constraint. Also having sales predicting technology helps to manage the inventory effectively and to reduce wastage of the resources of the business. The research mainly focuses on a perfect blend of elevating sales through suggesting items to customers and getting sales predictions.

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