Location Intelligence

Building a predictive model means gathering, cleaning, analyzing, and testing data — a process that can take months. SiteZeus allows you to skip this lengthy process and jump straight to gaining key insights for portfolio growth and optimization. SiteZeus combines multiple data sets (e.g., brand data, population movement, mobile location, geosocial segments, etc.) to give the machine-learning algorithm everything it needs to build a precise predictive model. By comparing each site’s projected and actual revenues, SiteZeus even tests itself for accuracy. Thanks to this cutting-edge technology, you can simply log in and start using your brand's predictive model, available 24/7.

The Devies Awards, the definitive award for the Development Technology Industry, has named SiteZeus the winner of their 2020 prize for Best Innovation in Artificial Intelligence and Machine Learning. The award is in recognition of SiteZeus’ groundbreaking achievements in creating an A.I. platform that is able to solve numerous market planning problems faced by the multi-unit brands.

With a new decade under way, multi-unit brands like Kroger, Uniqlo, McDonald's, among many others, are starting to leverage the potential of Artificial Intelligence (A.I.) across various functions of their business.

Whether we realize it or not, Artificial intelligence (A.I.) is starting to become a part of our daily fabric. From electronic assistants like Alexa and Siri to business tools like Salesforce and Gmail, A.I. has proved to be a powerful technology that helps improve the way we work and live. Listed below are ten examples of brands that are harnessing the power of A.I. to solve for some of their business challenges.

White space analysis, the process that helps brands identify new and existing untapped market potential, used to take months. In this SlideShare, you’ll learn how you can cut that process down to minutes—and get unprecedently precise results—with SiteZeus’ Site Sonar solution.

These days, it is not enough for multi-unit retail brands to classify and find customers with demographics alone. Same goes for psychographics, loyalty data, and even purchase data. There’s something missing from the puzzle…

One of the fundamental building blocks for any business is knowing who your target customer is. While traditional data sources like demographics and psychographics help to give that customer a face with information, such as age, ethnicity, income, and education levels, these only reveal a part of the picture.

Thank you for a successful ICSC RECon 2019! We hope you were lucky enough to partake in our #FREEcon Giveaway.

With an accountable demographic still preferring to shop at brick and mortar shops in this digital era, it is a perfect time for retailers to think about leveraging location intelligence to maximize foot traffic. Here are specific ways to use location intelligence in retail business.

In the retail revolution, outdated customer segmentation tools are holding brands back. While census data and predictive analytics worked well until recently, they’re no longer the gold standard in location intelligence; this is why the news is riddled with store-closure headlines of top brands like Family Dollar, Sears, and Gap. So what's next? A.I. powered decision-making solutions. One of the many ways in which A.I. can help brands thrive is by enhancing customer segmentation so real estate teams can unearth deep insights.