Agents

Monitors competitor pricing, tracks marketplace trends, and identifies arbitrage opportunities across channels.

Tracks real-time stock levels, predicts restock needs, and optimizes inventory allocation across warehouses.

Agentic demand forecasting — a single Opus 4.6 orchestrator with four tools (manage_tasks, spawn_agents, query_data, run_analysis) loops dynamically, spawning 0..N parallel sub-agents per iteration until confidence thresholds are met. Mirrors Claude Code's swarm orchestration pattern.

Classifies incoming support tickets by urgency and routes them to the appropriate team with suggested responses.

Dynamically adjusts product pricing based on market conditions, demand signals, and competitor pricing data.