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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.
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.
Adapting to the new restaurant “norm”
COVID-19 has turned once thriving cities into temporary ghost towns, forcing the permanent closure of over 3% of all restaurants nationwide. When in-store traffic evaporated between February and March, many could not sustain the financial blow. In an unstoppable ripple effect, mass layoffs quickly ensued, and restauranteurs scrambled to implement safe takeout and delivery options to stay afloat.
Chuck Cooper, 2019 CIO of the year honoree
SiteZeus is proud to mention that Chuck Cooper, CTO and member of board of directors at SiteZeus, has been recognized as the 2019 CIO of the year honoree by Tampa Bay Business Journal.
SiteZeus named amongst CIO Review’s 100 Most Promising Tech Start-Ups for 2019
For the second time, SiteZeus finds itself placed among CIO Review’s 100 Most Promising Tech Start-Ups, which highlights innovative technologies that are making the world an easier, better place for humans and companies.
Prescriptive-Led Growth: The Boom Restaurant Chains were waiting for
SiteZeus is leading this shift from predictive to Prescriptive-Led Growth (PLG). This methodology empowers restaurant brands and grants them higher levels of confidence. “PLG is empowering, explainable, dynamic, and real-time,” explains SiteZeus CEO, Hannibal Baldwin. “Instead of delivering a static, cookie cutter model to restaurant brands, PLG models run hundreds of permutations in seconds, taking every data point into account, and we do it inside one, single global model.”
Location intelligence boosting retail efforts
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.
SiteZeus is proud to be recognized as Top 10 Tech Startups; Again
This year, SiteZeus had the honor of being recognized as one of the top ten tech start-ups in Tampa Bay by The Tech Tribunefor the second year in a row. We sat down with SiteZeus Co-CEO Hannibal Baldwin to get his thoughts on this recognition, as well as some insights into the challenges and opportunities the company faces as we head into 2019.
AI-powered location hunter
Restaurant chains such as Subway are tapping AI-powered tech such as SiteZeus to help them optimize revenue at new or relocating restaurants. Using artificial intelligence, Tampa, Florida-based SiteZeus is providing multiunit restaurant operators predictive modeling that can be used to select optimal locations for earning revenue — even if the location doesn’t make sense on paper. In other words, even premium commercial sites, often dubbed “A” retail centers or malls, might not work for certain brands, marketing director Jorge Hermez said.
INRIX site selection: Taking the risk out of retail real estate decisions
Forward thinking retailers are increasingly embracing Big Data in their business decisions when choosing new store locations. Using INRIX Big Data, site selection companies help retailers pinpoint their target demographics and see where shoppers are coming from and analyze the potential profitability of millions of retail locations.
Honored to take part in the 10 Best Tech Startups in Tampa
The Tech Tribune staff has compiled the very best tech startups in Tampa, Florida. In doing our research, we considered several factors including but not limited to: revenue potential, leadership team, brand/product traction, and competitive landscape. Additionally, all companies must be independent (un-acquired), privately owned, at most 10 years old, and have received at least one round of funding in order to qualify.
You’re invited to this upcoming IFA Wednesdaywise Webinar
Join us Wednesday, November 8th at 2 p.m. EST for “The Newest Methods in Predictive Modeling & Sales Forecasting for Franchisors & Franchisees.” Tyler Carlson, VP of Sales, will take us through the newest methods in predictive modeling and helps you identify if you’re ready for it, or not.