Presenting to the judges: Kazi Ahmed, Lucas Zamboni, Bree Dorant, Nelson Ning and Edward Kao. Getting snacks: Daniel Ko & Lucie Jeffers   Our Team “I liked working as a team and seeing how we help each other. (We also) learnt a lot more about how retail/shopping malls w

Who hasn’t at some point made an impulse purchase during a spell of gray and rainy days? It’s no secret that weather affects people’s moods and behaviours, which in turn affects the retail industry on a day-to-day basis. During a downpour people are much less likely to shop in-store,

Here at Project X, we’re no strangers to love – we love data. We are passionate about it. In honour of this upcoming Valentine’s Day, we’d like to spread our love by sharing some interesting consumer statistics from Valentine’s Day 2016 in North America. The Big Number Total estimated

Each year, the NRF (National Retail Federation) hosts the largest retail expo in North America, Retail’s BIG Show, and in 2017 it’s set to take place in New York City from January 15 to January 17. It is THE conference to attend if you’re interested in experiencing all things Re

If you’re a retailer, chances are you’ve got loads of data from your customers, but the question on the minds of many is how to take advantage of it all? The digital age is also the age of personalized experiences, but there are plenty of marketers who have yet to take advantage of th

As a retailer in the age of big data, knowledge is power. It’s no secret that consumer shopping data is a hot commodity in today’s digital age, and shoppers are willing to sacrifice data about themselves in order to reap the benefits of loyalty programs and special offers. According t

Wal-Mart, an early adopter in digital market basket analysis, determined back in 1997 that people who purchased a Barbie doll in their stores were more 60% likely to also buy one of three different candy bars. If we suppose that this information was determined around the holiday seaso

When it comes to retail, there are a great many decisions that need to be made at all different levels of management. Before the advent of automated intelligence gathering this would all have to be done manually, and it could take weeks for the data to work its way up from the employe

From Small Fry to Big Fish Back in the days of the mom n’ pop shop, it was easy for a shopkeeper to provide a personal experience for their customers because they knew the name of each and every person who came into the store. Savvy retailers could then design the layout of their stor