USING BUSINESS ANALYTICS TO FIND SHOPPER BEHAVIOR PATTER -”ONLINE & OFFLINE.

Abstract

For our study on shopper behaviour in the Indian retail industry, we studied how people shop both online as well as in physical stores. To understand why shoppers choose certain stores, pick certain products, shop online how often, and what are the most important features to look for to shop. We researched a whole gamut of questions, from how important fast delivery is, to how online reviews affect the buy button.

So, we asked different questions to shoppers on their shopping habits as well as preferences. So we took a look at why some people tend to shop online and why others still want to visit a store. In addition, we looked at what payment methods shoppers feel most comfortable using and how they learn about new products and promotions.

We also looked at if mobile apps are good for shopping and if Tailor-made recommendations influence shopper’s decision. We also analyzed the value of products being sustainable and how likely a shopper is to return to a store if a shopping experience is pleasant.

Our goal was to learn valuable insights that retailers who are selling products and interacting with customers can take advantage of to improve their selling strategies. Understanding these behaviors and preferences allows retailers to serve shopper needs better and ultimately have happier customers, more successful retail strategies.

Because the Indian retail market is growing and becoming more digital, this study is especially important. We want to bring those closer together through data science, from the payoff side to help retailers create a enjoyable, friction less experience in the store for their consumers, and starting on the liquidity side, making things easier, simpler for everyone, and more personalized.