Commercial real estate:Shopping centersShopping mallsLarge retail networks
Footprints is the advanced AI marketing platform for behavioral profiling of physical shoppers, anticipating their next move and improving their customer experience.We enable retail properties to boost their performance and create a unique, recurring revenue stream by monetizing their data assets.
|Footprints for Retail
|Founded in 2017
Located in Romania
|Starting Price||Not provided by vendor|
|Deployment||Installed - Mac
Installed - Windows
Web-Based, Cloud, SaaS
iPhone / iPad
Digital strategy is the core of the NEPI Rockcastle development strategy in the long term. Investing in new technology is our way to stay ahead, with innovations that bring new solutions on the market that take customer experiences to new levels.We have a robust digital roadmap led by our Retail Analytics and CRM systems developed together with our partner, Footprints for Retail. The Artificial Intelligence and Machine Learning solutions that integrate online and offline data are of critical importance to our communication strategy with customers as we can target our audiences based on their behavior within our shopping centers.
It is normal when investing in new technologies and developments to have an ongoing process of continually optimizing the solution. We are in this process together with our partner, trying to find ways to improve and optimize the solution constantly.
The main benefit is increasing the revenue received from the physical commercial property, by taking advantage of the data.
I helped my clients engage with the software. Its revolutionary features helped them tape charateristics of their physical property that they could not monetize without Footprints
The most difficult part was to change the way we look at the commercial property and to view it also as a data generated asset instead as just a rent generated one. I believed that once more and more commercial property owners get into this boat, the more used the software will be.
The innovative nature of the product delivers the most impact. Bringing offline behavioral data and merging it with online date is what generates the most value. There is not other product in the market that can bring more superior quality and actionable offline data.
A larger scale roll-out of the product would be needed to improve the accuracy of results generated by the machine learning algorithm. The more available data, the higher the accuracy.
Reasons for Choosing Footprints for Retail:
There is currently no similar alternative product which can deliver the same level of quality offline data.
We have a great business relationship
Easy to implement to end user, no-hassle learning curve, great value and optimization potential
Developer API could be further enahced to allow more customization options