Combining Internet of Things (IoT) technologies to understand product and consumer behavior in retail environments

The project is about developing a «smart store» system that will allow understanding customer and product behavior. This system will be based on Internet of Things (IoT) technologies allowing any object (product or person) to communicate automatically with its environment. Hence, our system will be used for tracking items and monitor consumer behavior in real time. In a retail environment, we will be able to answer questions such as (i) How many times an item has been picked up or tried by a customer? (ii) How long the item stayed off the shelve? (iii) How long the customer stayed in a specific zone? Near a specific shelve? (iv)What are the most/less visited zones?

Intern: 
Samad Rostampour
Faculty Supervisor: 
Ygal Bendavid
Project Year: 
2017
Province: 
Quebec
Discipline: 
Program: