Turning in-store purchase data into better retail locations
$12m+ annual revenue increase
Finding the best place for a new service offering
A leading national retailer wanted to establish a new service offering within existing stores. But which locations would generate the highest revenues for this new service, and which should they open first?
An accurate predictive model
Within just 3 months, we used anonymised customer data to build an accurate predictive model of how customers would spend. The output was a list of priority locations ranked by predicted year 1 revenues with clear explanations to augment the final real-estate investment decision. This was built to be flexible and deployed across different cloud provider platforms.
