Nowadays, a typical retail chain store carries an inventory of thousands of products, and usually the customer needs to cover a large area to find all the products he/she needs, because of this, grocery shopping can be a very time consuming and tedious task.
Enter the idea of a shopping companion application to aid customers with their shopping trips, and as a result, improve their overall quality of life.
This project aims to develop a smartphone application that uses product recommendations in order to prebuild a list of items to shop, according to the customer’s personal taste. Also, the application knowns when certain products might be needed, by ‘looking’ into the customer’s recurrent buying patterns, recommending these products at the right time.
Even more, the application is able to provide indoor navigation through the store’s aisles, to aid the customer to find his way through the store in an efficient manner, giving him a feeling of accomplishment.
Leveraging FhP-AICOS’ previous experience and know-how in the areas of precise indoor location and product recommendation, these two techniques can be combined into an innovative solution that helps customers in their shopping trips.
Author: Pedro Sousa
Type: MSc thesis
Partner: Faculdade de Engenharia da Universidade do Porto