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| { | |
| "_comment": "Agent resource profiles based on typical Indian logistics company benchmarks (CRISIL, NITI Aayog logistics reports). Budget in simulation units (~USD thousands).", | |
| "carrier": { | |
| "_comment": "Road freight carriers (trucking companies). High capacity, medium budget, zero cold storage unless specialized.", | |
| "capacity_tons": [120.0, 280.0], | |
| "budget": [8000, 18000], | |
| "trucks": [8, 20], | |
| "cold_storage_units": [0, 1], | |
| "home_regions": ["West", "North"], | |
| "specialization": "bulk and standard freight movement on NH corridors" | |
| }, | |
| "warehouse": { | |
| "_comment": "Warehouse operators (3PL). High cold storage, moderate capacity for staging, moderate budget.", | |
| "capacity_tons": [200.0, 500.0], | |
| "budget": [6000, 14000], | |
| "trucks": [2, 5], | |
| "cold_storage_units": [3, 8], | |
| "home_regions": ["West", "South"], | |
| "specialization": "cold chain storage, staging, cold_chain and perishable cargo handling" | |
| }, | |
| "customs_broker": { | |
| "_comment": "Customs clearance agents. Low physical capacity but high budget (handle high-value goods). Active near ports.", | |
| "capacity_tons": [20.0, 60.0], | |
| "budget": [12000, 28000], | |
| "trucks": [1, 3], | |
| "cold_storage_units": [0, 1], | |
| "home_regions": ["West", "East"], | |
| "specialization": "trade corridor negotiation, tariff management, port-adjacent clearance" | |
| }, | |
| "insurer": { | |
| "_comment": "Cargo insurance underwriters. Minimal physical capacity, very high budget for risk coverage and claims.", | |
| "capacity_tons": [10.0, 30.0], | |
| "budget": [18000, 40000], | |
| "trucks": [0, 2], | |
| "cold_storage_units": [0, 0], | |
| "home_regions": ["North", "West"], | |
| "specialization": "risk pricing, coverage for high-value cold_chain and urgent cargo" | |
| }, | |
| "shipper": { | |
| "_comment": "Shippers/consignors (manufacturers placing cargo). Medium capacity, medium budget, most cargo ownership.", | |
| "capacity_tons": [80.0, 200.0], | |
| "budget": [7000, 16000], | |
| "trucks": [4, 12], | |
| "cold_storage_units": [0, 2], | |
| "home_regions": ["South", "West"], | |
| "specialization": "cargo origination, delivery SLA management, prioritisation decisions" | |
| }, | |
| "geopolitical_analyst": { | |
| "_comment": "Geopolitical risk analysts. Minimal physical resources but critical for early warning and corridor strategy.", | |
| "capacity_tons": [5.0, 20.0], | |
| "budget": [9000, 20000], | |
| "trucks": [0, 1], | |
| "cold_storage_units": [0, 0], | |
| "home_regions": ["North", "East"], | |
| "specialization": "disruption forecasting, trade corridor negotiation, sanctions management" | |
| } | |
| } | |