Dead Stock Is a Distribution Failure
Inventory is rarely truly dead. It is simply invisible to the demand that exists. The problem is not product; it is distribution.
German Tirado / Human judgment, machine scale
I build and operate infrastructure that turns buyer intent into revenue: evidence-based marketing, AI-powered follow-up, and systems designed to handle complexity beyond human scale.
Current thinking
Inventory is rarely truly dead. It is simply invisible to the demand that exists. The problem is not product; it is distribution.
Human intuition breaks down at scale. Managing ad spend for long-tail inventory requires systems, not spreadsheets.
The future of B2B sales is not a portal. It is an API. Inventory should flow like water to where the demand is.
Operating thesis
The work connects evidence about buyer behavior with the infrastructure required to act on it consistently.
Evidence
Empirical principles for understanding how brands grow, how buyers behave, and why penetration matters more than loyalty narratives.
Market share / Mental availability / Category entry points
Infrastructure
Operational machinery that captures existing demand, responds at the moment of need, and converts intent into measurable revenue.
Google Ads / AI reception / Follow-up / Routing
Leverage
Applied intelligence designed to reduce cognitive load and make good operational judgment available at scale.
Qualification / Decisions / Automation / Feedback loops
The work
I build and operate. The feedback from real markets sharpens the theory; the theory improves the systems.
Demand capture infrastructure for local service businesses: Google Ads, AI reception, routing, and persistent follow-up.
System-to-system inventory distribution that connects manufacturers' dead stock with demand that already exists.
Explore the operating work