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Ryan Hambleton
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interactive-demoPythonOpenAISQL

Retail Inventory Routing Agent

Clean-room agent demo — natural language inventory questions with expandable decision logs.

Situation

Operations teams needed faster answers about inventory rebalancing across distribution centers — ad-hoc SQL queries were too slow for iterative what-if scenarios.

Task

Prototype an agent-assisted workflow that interprets natural-language questions and returns routing recommendations using a clean-room retail scenario (no proprietary employer data).

Action

  • Defined tool interfaces for inventory lookup and routing simulation
  • Built API proxy layer to keep model credentials server-side
  • Designed UI with expandable agent logs to surface reasoning steps
  • Implemented mock mode for reliable demo performance

Result

Demonstrated end-to-end agent architecture suitable for stakeholder demos and technical interviews. Live demo available in the Lab.