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How multi-unit brands thrive with A.I.
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.
Easily validate your grocery sales projections
Getting sales projections on a proposed grocery location should take mere minutes. However, accuracy and transparency should not be concessions 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. The solution represents the median accuracy of the overall model. Users can also review the variables that are positively and negatively affecting their individual projections with the Variable Impact tool. Additional features within SiteZeus – such as mobile data, traffic data, and comparison of similar sites – equip users to further validate their projections with ease. To see how you can validate sales projections using SiteZeus, watch below:
Instant insights into grocery revenue potential
When analyzing proposed grocery locations, evaluating the revenue potential is a top priority. In the past, brands used a time-consuming, complex process to understand sales potentials. With SiteZeus users can evaluate the revenue potential for a proposed grocery location faster, easier, and more accurately – resulting in higher ROI on location decisions! Once a brand has a predictive model inside of SiteZeus, they are able to run as many projections as they want. By simply dropping a pin on the map, a revenue projection – known as a “Zeustimate” – is immediately calculated. To make the Zeustimate even more accurate, brands are able to update site characteristics on the proposed location (such as square footage, building type, etc.), and the machine learning instantly re-evaluates the location potential. Each Zeustimate is also conveniently broken down into different revenue streams to provide more detailed insights. To see how with SiteZeus finding and validating new grocery locations is easier than ever before, watch the quick demo below:
Checkers & Rally’s fuels nationwide expansion with SiteZeus’ location intelligence platform
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.
Market expansion analysis with customer segmentation data
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.
Evaluating your grocery portfolio for optimization
Manually evaluating portfolio performance can be slow and strenuous. To streamline this process, SiteZeus’ Quadrant Recommendations categorizes your locations into four simple categories: Study, Grow, Relocate, or Optimize. Locations are sorted by analyzing their actual sales against projected sales. For instance, a site might currently be performing below average, however, SiteZeus projects that the site could be performing well above average. This site would subsequently be categorized under Optimize, helping quickly highlight opportunities for optimization. While this is just one example, 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.
Retail closure analysis with customer segmentation data
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 does not depict the whole story. The missing piece? Geosocial customer segmentation data.
Satisfying America’s post-pandemic appetite
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.
Building a fast and accurate predictive model for your grocery brand
Building a predictive model means gathering, cleaning, analyzing, and testing data; a process that can take months. SiteZeus allows your brand to skip this lengthy process and jump straight into using its highly predictive model. SiteZeus converges multiple datasets (brand data, population, mobile, geosocial, and more) to provide the machine learning with everything it needs to build a highly predictive model. By comparing each site’s predicted and actual revenues, SiteZeus even tests itself for accuracy. Brands are able to simply log in and begin using their predictive model 24/7.
SiteZeus awarded best innovation in artificial intelligence prize at 2020 Devies Awards
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.
25 Top multi-unit brands leveraging A.I. in 2020
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.
The future is now: How multi-unit brands are leveraging A.I. today
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.