Todd Katcher did not set out to build automotive technology. In the mid-2000s, he was operating a bar in Nashville when he noticed printed advertisements hanging in restrooms around the city and wondered whether the same idea could be digitized. He started experimenting with screens in bars and nightclubs without even thinking of himself as someone building a digital signage company.
Then a regular customer who owned a car dealership asked whether Katcher could create something similar for his store. Katcher’s response was not to immediately sell him a product, because no real product existed yet. He asked what the dealership needed the system to do.
That question became far more important than the technology behind the answer.
Start With the Friction
Katcher’s career has repeatedly followed the same pattern. He encounters a frustrating process, asks why it works that way, and then tries to build something better.
Digital Dealership System grew from that approach. Instead of beginning with a generic screen and looking for places to install it, Katcher spent time understanding what information mattered at different points in a dealership.
A customer waiting for service has different needs from someone shopping for a vehicle. Employees trying to hit a monthly sales target need different information again. The company’s products therefore evolved around those separate situations rather than around digital signage as a technology category.
In customer areas, the system can display service menus, appointment information, dealership promotions, and vehicle-specific pricing. In employee areas, the same basic infrastructure can become a sales leaderboard or performance dashboard connected to dealership data.
Katcher sees the screen as incidental. The useful product is the information it delivers at the moment someone needs it.
An Outsider Can Ask Better Questions
Katcher did not enter automotive from another dealership technology company. His background included bodybuilding, gym ownership, hospitality, and entrepreneurship, which meant he arrived without many assumptions about how dealerships were supposed to operate.
That became useful. When someone explained an existing process, he was more likely to ask why it worked that way rather than accept it as an industry requirement.
Dealerships offered plenty of opportunities for that kind of questioning. They can spend heavily attracting a customer to the property, then leave that customer sitting in a waiting area watching television commercials from competing dealerships, quick-lube businesses, or other companies trying to win the same person’s money.
Katcher saw the contradiction. If the dealership had already paid to bring someone inside, the physical environment should support that relationship rather than introduce competitors.
The same thinking applied to employee performance. Many stores still relied on dry-erase boards to track sales and service goals even while nearly every other part of the dealership had become digital. Katcher’s team built systems that update automatically, giving employees a clearer view of results without adding another manual reporting task.
The Best Product Does Not Always Win
One lesson became more frustrating as Digital Dealership System grew. Katcher learned that having the strongest product does not guarantee the sale.
Automotive is heavily shaped by relationships between manufacturers, dealer groups, approved vendors, and individual franchise locations. A dealership may prefer one product while its manufacturer encourages or requires another provider.
That experience changed the way Katcher thinks about competitive advantage. Product quality matters, but distribution, relationships, trust, and access to decision-makers can matter just as much.
He has seen dealerships choose his company’s system despite pressure to use an approved competitor, but he has also lost opportunities where the customer liked his product and still went another direction. Those outcomes reinforced a broader business lesson: founders cannot assume customers will discover the best solution and make a purely rational comparison.
Building the product and building the path to the customer are separate jobs.
Failure Has to Produce Information
Katcher connects that idea to something he learned long before entering technology. As a young man interested in bodybuilding, he surrounded himself with images of Arnold Schwarzenegger and wrote a college admission essay about bodybuilding as a way of life.
He never pursued competitive bodybuilding, but the training philosophy stayed with him. Muscles grow by being pushed beyond what they can comfortably handle, which makes controlled failure part of the process rather than evidence that the process failed.
Katcher applies the same logic to entrepreneurship. Products fail, businesses stall, presentations fall flat, and some ideas never find a market. The important distinction is whether the founder learns enough from the failure to change the next attempt.
Experience by itself does not guarantee improvement. Someone can repeat the same mistake for 20 years and call it experience.
For Katcher, reflection is what turns experience into useful knowledge.
New Businesses Come From Existing Problems
That habit also explains why Katcher keeps launching products outside Digital Dealership System.
Zony emerged because his existing digital signage infrastructure had outgrown the software it depended on. Rather than continue working around those limitations, his team built its own platform and eventually made the software available to other organizations.
Other products followed a similar route. ConvertIT began as an internal need to handle image and video conversions more efficiently. Price Alerts came from Katcher wanting a better way to monitor purchases and be notified when prices changed.
He does not expect every one of those ideas to become a huge standalone company. Some succeed simply because they solve an internal problem and save his team time or money.
That gives him a practical filter for new ideas. A product does not need an enormous market before anyone builds it, but it should solve something real for somebody.
Technology Comes After Understanding
Katcher now uses AI across product development, analysis, marketing, and internal operations, but he approaches it the same way he approached digital signage years ago. The technology matters only when it helps solve a defined problem.
He uses AI to close knowledge gaps, analyze agreements, explore unfamiliar markets, and accelerate work his team already understands. He does not see speed alone as a substitute for judgment, because faster output is only useful when the underlying direction is sound.
That principle has followed him from a Nashville bar to more than a thousand dealership installations and into the newer products his team is building today. Katcher does not begin by asking which technology is most exciting.
He begins by asking where the friction is, who feels it, and whether solving it would make something meaningfully better.
Want more From the Ground Up? Check out more articles or head over to YouTube, Apple, or Spotify to watch the videos.