StoreMax
Coordinated agents for placing cargo, maintaining warehouse state, and making each optimization run visible through results and execution logs.
AgentField Hackathon · 7 February 2026
Problem and Context
Warehouse placement combines physical fit, access priorities, and an accurate view of what is already stored. StoreMax explores splitting those responsibilities across agents while keeping placement decisions and operational handoffs traceable.
User Flow
- Load rack, bin, and cargo definitions.
- Start a run through the warehouse manager agent.
- Rank compatible bins by cargo height fit and turnover priority.
- Place compatible cargo and flag items that exceed capacity.
- Review the execution trail and export the resulting warehouse state.
Agent Architecture
The warehouse manager owns state, validates placements, and coordinates the run. The optimizer scores fit and tier preferences, then ranks assignments. The sync agent records events and prepares exports. AgentField provides the control plane connecting these responsibilities.
The deployment design places Python agents in Cloudflare Containers with Workers for routing. A dashboard concept brings together rack configuration, placement results, and execution logs.
Prototype Scope
The prototype explores cargo placement and agent coordination with simulated warehouse management system exports.