Paul Rocchio, Vice President of Membership for the International Franchise Association (IFA), breaks down how collective advocacy, specialized executive training, and grassroots political engagement systematically protect and fuel local business format franchise systems.
In the fast-paced world of restaurant development and commercial real estate, timing isn't just everything—it's millions of dollars. When a prime location hits the market, you aren’t just competing against the clock; you’re competing against five or six other aggressive offers. In a landscape dictated by speed to market, how do you ensure your decision-making keeps pace without sacrificing accuracy?
On the latest episode of the Franchise GPS, host Chicago Sam sat down with Doug Sullinger, CEO and Founder of Vendita AI. Together, they demystified the loud world of commercial "PropTech" and explained why generic AI models are a liability—and how a specialized tool called Baizel AI is completely reshaping how restaurateurs search for real estate.
Whether you missed the episode or want a deeper dive, here are the three major takeaways that every franchise executive, developer, and investor needs to know right now.
It is easy to get caught up in the AI hype cycle. From Instagram reels to late-night brainstorming sessions, it seems like everyone is suggesting you drop a prompt into ChatGPT, Gemini, or Claude to build your business strategies. But when it comes to million-dollar site selection, relying on open, unvalidated LLMs is practically a coin flip.
As Doug bluntly pointed out during the episode: "Garbage in, garbage out."
Open AI models are, at their absolute best, about 60% accurate when handling real estate data. They rely heavily on basic internet scraping, which often serves up hallucinated details, outdated listings, or closed-down properties. If you base your brand's growth on unvalidated data, you risk wasting time—or worse, capital—on bad locations.
Traditional site selection is an exhausting, time-consuming process. Investors and restaurateurs traditionally ride around a target market evaluating 20 or 30 different locations. After weeks of looking, they inevitably find that 18 of them won't work for their concepts.
Platforms like Basil AI flip this script entirely by leveraging high-quality, holistic data. Basil pulls from multiple data sets—including traffic metrics, permitting records, and historical asset uses—and cross-checks them with credible third-party and government validation to generate a unique "data credibility score."
The result? Unprecedented speed.
"What we do with Baizel is we take that 18, take those 20 trips down to two and eliminate the other 18," Doug shared. "We literally tell people what it takes you eight weeks to make a decision, we can do [in 4 minutes]."
By validating data upfront, Baizel AI allows developers to look at everything that is possible, not just what is listed on the open market, moving brands forward at the speed of light.
Even with the most advanced technology in the room, common sense and operational experience are irreplaceable. The goal of predictive AI isn’t to replace the seasoned restaurateur, but to amplify their intuition.
A truly powerful real estate tool asks: Can this model be predictive in the exact same way your gut instinct would be? By feeding a tailored system your brand's best-performing location data alongside your worst, custom AI models learn patterns instantaneously. It scales your experiential knowledge so you can confidently evaluate sites through a digital feasibility score before you ever step foot on the pavement.
This shift in software capability is happening fast. Doug, who has been building software for over 30 years, noted that engineering timelines that once took quarters or fiscal years are shrinking to days. He shared a clear example: building a nationwide environmental "brownfield" site overlay tool used to take him two years; using their modern AI capabilities, his team built it in just two days.
The competitive advantage no longer belongs to corporations with the largest legacy infrastructure, but to the agile teams who know how to deploy specialized, predictive models against validated data.
Want more insider franchise tips? Listen to the full conversation on Episode 5 of Chicago Sam’s Franchise GPS with host Sam Stanovich on Spotify, Apple Podcasts, or YouTube!
Douglas Sullinger is the Chief Executive Officer of Vendita.AI, a Tampa-based leader in developing advanced artificial intelligence solutions tailored for the Commercial Real Estate (CRE) industry. With over two decades of experience, he is a transformative leader known for his unique ability to bridge deep technical knowledge with a profound understanding of client needs. Throughout his career, Doug has earned a stellar reputation as a trusted advisor and strategic partner, consistently driving business growth through expert negotiation, high-value deal-making, and the cultivation of mutually beneficial, long-term relationships.
Doug’s extensive expertise in enterprise software and data solutions is built on a strong foundation of leadership roles at top-tier organizations. After earning his Bachelor of Science in Business from the University of Toledo in 1988, he rapidly advanced through the technology sector, spearheading sales, software implementation, and management consulting. His impressive trajectory includes serving as Assistant Vice President at Baan, Senior Manager of Business Development at Cap Gemini Ernst & Young, Enterprise Software Sales Manager for IBM’s Infosphere Solutions, and VP of Sales and Marketing at Vendita Management Services. Today, Doug leverages this wealth of experience to keep Vendita.AI at the cutting edge of industry innovation.
Gregg Majewski has a vast amount of experience as a corporate executive in the restaurant industry. As the former CEO of Jimmy John’s, he played a major role in expanding the franchise from 33 to 300+ stores in just 5 years by surrounding the company’s marketing strategy around the innovative approach of delivering sandwiches and being “freaky fast”. Majewski has worked to develop restaurant concepts over the last two plus decades, before starting Craveworthy Brands in 2023, which currently includes a growing portfolio of restaurant brands. Craveworthy Media is Majewski’s gift back to the industry that has given him so much. The goal of Craveworthy is to inspire the up and coming industry leaders by providing important information, stories, and insights from titans past and present.
Do you know someone who would be great on this show? Let us know by sending a DM on social media @craveworthybrands