Market Basket Analysis for Sales Transaction in Shopping Stores

Sequential market basket analysis

Market basket analysis (MBA) is a powerful and common practice in modern retailing that has some limitations stemming from the fact that it infers purchase sequence from joint-purchasing data. However, internet retailers automatically collect purchase-sequence data from their shoppers, and new technology is available for traditional (bricks and mortar) retailers to do the same, making it possib...

Egocentric Vision for Visual Market Basket Analysis

Conversational Sales Assistant for Online Shopping

Websites of businesses should accommodate both customer needs and business requirements. Traditional menu-driven navigation and key word search do not allow users to describe their intentions precisely. We have developed a conversational interface to online shopping that provides convenient, personalized access to information using natural language dialog. User studies show significantly reduce...

Retail Market Power in a Shopping Basket Model of Supermarket Competition

Supermarket consumers typically purchase more than one item at a time. Modeling demand relationship among items in consumers’shopping baskets is therefore essential to understanding how retailers set prices. To date, models of price competition among retailers typically assume consumers make discrete choices among categories in the store or derive utility from independent goods that is una¤ecte...

Predicting Sales for Rossmann Drug Stores

In this paper we examined four different methods for time series forecasting: Random Forests, Gradient Boosting, Hidden Markov Models, and Recurrent Neural Networks. We found that using Gradient Boosting yielded the best results with root-mean-square percent error (RMPSE) of 10.439% (785 of 3429).