Location Intelligence

Great multi-unit brands recognize the importance of calculated infill growth. However, identifying potential sites with an acceptable amount of cannibalization on existing locations can be difficult. SiteZeus understands this obstacle, which is why we’ve created an A.I.-powered solution making the struggle of time-consuming and unreliable sales impact studies a thing of the past. Why SiteZeus? SiteZeus’ A.I.-powered Sales Impact solution forecasts potential sales transfer with unprecedented accuracy. Our approach leverages actual customer trip data to measure cannibalization in under a minute. This innovative methodology analyzes all the trips taken to your existing site over the last 365 days to predict how customers will shift to a new location. By evaluating 15 different variables like time of day, day of week, and a variety of distance-based measurements, the model is able to understand your customers’ behavior and predict sales impact with over 93% accuracy.

Calculating infill growth has been a challenging process for multi-unit brands, as it involves finding areas with high revenue potential without cannibalizing existing stores’ sales. Traditionally, these were two separate workflows. The first step was to calculate revenue projections for potential sites, then separately test the impact of opening new stores near existing locations. This process was tedious, expensive, and usually took four to six weeks, leaving brands with questionable accuracy. One advantage of new modern techniques is using multiple market planning solutions in tandem to find the best performing markets and locations. The SiteZeus platform allows real estate teams to accurately forecast sales potential and the impact a potential site opening will have on existing locations, all in under a minute. With this dynamic duo of solutions, you can evaluate potential sites faster and with more confidence than ever before.

Learn how to bring your brand's market planning strategy to life with empowered decision-making. Explore why SiteZeus' A.I.-driven platform provides the robust data and accurate analyses needed for your real estate team to succeed.

In today’s economy, rapid change is a fact of life. To maintain a successful, yet flexible market strategy, multi-unit brands need the right data and the right technology. By adopting an A.I.-driven platform, forward-thinking businesses can predict, evolve, and thrive with confidence in a forever changing landscape.

Getting sales projections for a proposed grocery location should take mere minutes. However, accuracy and transparency should not be sacrificed for speed. When brands leverage SiteZeus, they get a highly accurate sales projection within minutes as well as the ability to explore the variables behind every projection. With SiteZeus, brands have a constant, high-level understanding of their model accuracy using the Synergy Power Score, which represents the median accuracy of the overall model. Users can also review the variables positively and negatively affecting their individual projections with the Variable Impact Tool. And additional features such as mobile data, traffic data, and comparable sites equip users to further validate their projections with ease. To see how you can validate sales projections using SiteZeus, watch below:

Calculating revenue potential is a top priority when analyzing proposed grocery locations. In the past, brands used a time-consuming, complex process to understand sales potential. With SiteZeus, users can evaluate the revenue potential for a proposed grocery location faster, easier, and more accurately for a higher ROI on their location-based decisions! Once your brand has a predictive model in SiteZeus, you can run as many projections as you'd like. When you drop a pin on the map, a revenue projection — known as a “Zeustimate” — is immediately calculated. To make the Zeustimate even more accurate, you can update site characteristics (e.g., square footage, building type, number of drive-thrus, etc.) for the proposed location, and the machine learning algorithm will instantly re-evaluate the location's potential. Each Zeustimate is conveniently broken down into different revenue streams for more detailed insights. To see how SiteZeus makes finding and validating new grocery locations easier than ever before, watch the quick demo below:

TAMPA, Fla., June 1, 2020 — SiteZeus is pleased to announce its newest partnership with Checkers & Rally's, an iconic and innovative drive-thru restaurant chain known for its exceptional value, people-first attitude and “Crazy Good Food." With nearly 900 locations and plenty of available territory in desired markets across the U.S., Checkers & Rally’s will leverage this A.I. powered, subscription-based platform to further expand its thriving portfolio, while making critical market planning decisions.

Knowing how to identify and utilize your brand’s customer profile can determine the success of your expansion into new markets. Previously, brands used demographics as the primary standard when determining their customers’ characteristics. SiteZeus allows growing brands to upgrade their understanding of their customer profiles with the use of Spatial.ai’s geosocial data. 

Manually evaluating portfolio performance can be slow and tedious. To streamline this process, SiteZeus’ Quadrant Recommendations feature sorts your locations into four simple categories — Study, Grow, Relocate, or Optimize — by comparing their actual sales to their projected sales. For instance, a site might currently be performing below your portfolio's average, but SiteZeus projects it could be performing well above average. This site would be categorized under Optimize to quickly highlight opportunities for improvement. Strategic brands use all four recommendation categories to determine their true portfolio potential and guide their optimization strategy. Users can study, test, and act on insights all in one platform.

The pandemic forced many multi-unit brands to close their doors. While some sites are beginning to reopen, others will remain permanently closed. As brands analyze whether to close or reopen their existing sites, demographics will play an essential role. However, demographics alone do not depict the whole story. The missing piece? Geosocial customer-segmentation data.

When COVID-19 brought the restaurant industry to its knees in February 2020, an interesting phenomenon occurred; everyone from hometown eateries to major multi-unit brands temporarily offered takeout and delivery to survive. Meanwhile, companies with pre-established off-premises systems (i.e. Chipotle), enjoyed increased revenues.