In this episode of Ship Repair Radio, John Polowczyk sits down with Jon Garrity, Founder and CEO of Tagup, to explore the intersection of modern technology and the deckplates. Bringing an impressive background that includes degrees in physics and economics from MIT, an MBA from Harvard Business School, and extensive industrial management experience at GE, Jon is leading the charge in deploying artificial intelligence for supply chain forecasting. The conversation centers on solving long-standing material availability hurdles, breaking down the barriers to tech adoption in ship repair, and understanding what Industry 4.0 means for the future of our waterfront.
The discussion dives deep into how the maritime industrial base can leverage AI without ripping out current IT infrastructure. Jon explains how Large Language Models (LLMs) can be layered seamlessly over existing enterprise resource planning (ERP) systems to instantly query vendor networks, making information search and retrieval significantly cheaper. He also unpacks the power of "World Models" to simulate how a state evolves over time, accurately predicting the probabilities of unexpected growth work before a vessel enters the drydock. By applying these predictive tools, Jon illustrates how the industry can mitigate the "whiplash effect" that destabilizes the supply chain during fluctuating workloads.
John and Jon also tackle the cultural and organizational roadblocks—the different "tribes" and stakeholders—that have slowed the Navy's adoption of these critical technologies compared to the commercial sector. Highlighting proven defense success, Jon shares how Tagup's AI implementation for the U.S. Marine Corps drove a 25% reduction in purchasing costs and a 13% increase in equipment readiness. Ultimately, the episode issues a strong call to action for the Navy and private yards to consolidate their data, emphasizing that the barrier is no longer the technology itself, and unifying the supply graph will yield disproportionate returns for fleet readiness.
Key Takeaways:
- Deploying AI on the deckplates: how predictive analytics can solve material availability and mitigate scheduling delays.
- The power of layered integration: using Large Language Models (LLMs) to query existing ERP systems without costly IT overhauls.
- Forecasting growth work: leveraging AI "World Models" to predict maintenance needs based on historical data.
- Combating the whiplash effect: stabilizing the maritime supply chain against volatile demand fluctuations.
- Proven defense success: how predictive logistics drove a 25% cost reduction and 13% readiness increase for the Marine Corps.
- Overcoming bureaucratic barriers: breaking down silos between Navy and industry stakeholders to embrace Industry 4.0.
- The data imperative: why organizing the supply graph across the enterprise is a data problem, not a technology problem.
A special thank you to our episode sponsors, the Hampton Roads Workforce Council (https://www.theworkforcecouncil.org/) and Tidewater Staffing (https://www.tidewaterstaffing.com/), for powering the region's maritime training system and making this conversation possible.