The Spring 2026 Spring Commercial Vehicle Business Summit may have wrapped, but the conversations it sparked continue to resonate across the commercial vehicle industry. In a recent CVBNetwork podcast conversation with host Steve Henning, Work Truck Solutions founder and chief vision officer Kathryn Schifferle reflected on the Summit’s evolution, the thinking behind this year’s theme, and why the industry may be approaching a pivotal moment in how it views technology, data, and business intelligence.
For Schifferle, the Commercial Vehicle Business Summit was never intended to be just another virtual event. What began in 2021 as a response to widespread event cancellations quickly became something much larger: a forum built around a belief that the commercial vehicle industry functions best when stakeholders look beyond their own corners of the market.
“What had bothered me was that all the events were always very singularly focused,” Schifferle explained during the podcast. “I really feel that this industry has a lot of potential to improve and help each other by looking across the whole ecosystem.”
That ecosystem-wide perspective has become a defining characteristic of the Summit. Rather than focusing exclusively on telematics, fleet management, upfitting, or dealership operations, the event brings together experts from across the commercial vehicle landscape, including OEMs, fleets, upfitters, dealerships, and technology providers. The result is a broader, more nuanced conversation about where the industry is headed and what businesses need to do to stay competitive.
This year’s Summit theme, From Blind Spots to Profit Centers Through Intelligence, reflected that same thinking. According to Schifferle, the concept emerged from conversations about how businesses create value and, more importantly, where opportunity is lost when critical information remains hidden.
“The commonality between them all is that if they can’t see what they need to understand, they can’t get to that efficiency and profitability,” she said.
That idea clearly resonated because it captures a challenge many businesses in commercial vehicles are currently facing. Across the industry, organizations are sitting on enormous volumes of information, inventory data, buyer behavior insights, telematics, service histories, lifecycle trends, and operational performance metrics. But too often, that information remains fragmented, disconnected, or underutilized.
Artificial intelligence naturally entered the conversation, but Schifferle was quick to separate the hype from the practical opportunity.
“We didn’t want to make it all about AI,” she said. “It’s nothing if it doesn’t help you in some way.”
That pragmatic perspective was one of the strongest themes in the podcast discussion. Rather than framing AI as a futuristic concept or a technology trend businesses should adopt simply because everyone else is talking about it, Schifferle positioned it as a business tool, one that should be measured by its ability to create efficiency, improve decision-making, and solve real operational challenges.
At the most basic level, that means automating repetitive tasks and removing low-value manual work from employees’ daily routines.
“This isn’t about replacing you,” Schifferle explained. “This is about making you better, making your work maybe even more interesting.”
But the bigger opportunity lies in solving complexity that humans alone cannot realistically manage.
Commercial vehicles operate within one of the most fragmented ecosystems in transportation. Data exists at nearly every point in the vehicle lifecycle, but it rarely speaks to itself. Dealership inventory systems, OEM insights, fleet utilization data, service histories, upfit details, and remarketing information often exist in separate silos.
For Schifferle, that fragmentation represents one of the industry’s most significant blind spots.
“How could we ever possibly connect all the silos of data that are in this industry that are critical to ameliorate the 50% inefficiency in the supply chain and the life cycle without something like AI?” she asked.
That question may be the real takeaway from the conversation.
AI’s most transformative role in commercial vehicles may not be flashy consumer-facing tools or automated content generation. It may be the ability to help businesses finally unify disconnected information into actionable intelligence.
Henning noted that one of the more interesting observations from the Summit was the wide range of attitudes toward AI among attendees. Some businesses are actively experimenting. Others are cautiously evaluating. Many are still uncertain where the technology fits within their operations.
Schifferle sees that uncertainty not as hesitation, but as a sign that the industry is at an inflection point.
“I think we’re at a pivotal point right now,” she said.
That sense of transition is precisely why the Summit’s content remains relevant beyond the live event itself. For businesses still exploring where artificial intelligence, business intelligence, or operational modernization fit into their strategy, the recorded sessions offer practical conversations from multiple perspectives across the industry.
All Spring 2026 Commercial Vehicle Business Summit recordings are now publicly available on YouTube, offering attendees and non-attendees alike an opportunity to revisit the discussions or catch what they missed.
And for those already looking ahead, the next Commercial Vehicle Business Summit is scheduled for November 4–5, 2026.
If Schifferle’s podcast reflections made one thing clear, it’s that the future of commercial vehicles will not belong to the businesses that simply collect more data. It will belong to the ones that learn how to connect it, understand it, and turn it into smarter action.
About the author: Rachelle Fernald is a commercial vehicle industry expert, writer, and Senior Media Coordinator (formerly Creative Media Specialist) for Work Truck Solutions and Comvoy. She frequently contributes insights on market trends, work trucks, and industry events, often collaborating with or contributing to the Commercial Vehicle Business Network (CVB Network).
