Outdoor Holding Company names Director of AI Strategy for GunBroker
Outdoor Holding Company (Nasdaq: POWW) has appointed Erich Buerger as Director of AI Strategy and Implementation, a newly created position that will sit across all business units of the Atlanta-based company. OHC is the publicly traded parent of GunBroker.com, which it describes as the largest online marketplace dedicated to firearms, hunting and related products.
Buerger joins from Ecommerce LabWorks, where he served as Head of eCommerce Artificial Intelligence and led deployments built on large language models, natural language processing and agentic workflows. The company says he brings more than 20 years of experience in digital transformation and emerging-technology integration.
The role
In his new position, Buerger will be responsible for developing OHC's overarching AI strategy, identifying high-value use cases across departments, establishing AI governance frameworks and responsible-use policies, and overseeing the selection and deployment of AI tools and vendor platforms. The appointment builds on OHC's recent launch of an AI-powered listing tool on the GunBroker platform, though the company did not disclose adoption figures, performance benchmarks or the technology stack underlying that tool.
Chief executive Steve Urvan said the company views "disciplined AI deployment as a long-term value creation strategy for shareholders," and that dedicated leadership for AI is a "natural next step." Buerger, for his part, pointed to GunBroker's nearly three decades of proprietary marketplace data as an unusual foundation for building applied AI: "OHC sits at the intersection of a category-leading marketplace and nearly three decades of proprietary data, which is a rare foundation for building AI that delivers real, measurable impact."
Market context
Hiring dedicated AI strategy leadership has become a standard move for mid-cap e-commerce operators over the past 18 months. Across the broader marketplace sector, incumbents are deploying LLM-based tooling for listing optimisation, dynamic pricing, fraud detection and personalised search, with the competitive pressure coming primarily from larger platform operators that can absorb the infrastructure cost of in-house model development.