LLM agent to optimize supply chain

class SupplyChainAgent:
    def __init__(self, llm_model, inventory_system, supplier_database, logistics_platform):
        self.llm = llm_model
        self.inventory = inventory_system
        self.suppliers = supplier_database
        self.logistics = logistics_platform

    def optimize_inventory(self):
        current_inventory = self.inventory.get_current_levels()
        supplier_performance = self.suppliers.get_performance_metrics()
        shipping_routes = self.logistics.get_shipping_routes()

        prompt = f"Given current inventory levels: {current_inventory}, supplier performance: {supplier_performance}, and shipping routes: {shipping_routes}, what inventory optimization strategies should we implement?"

        strategy = self.llm.generate(prompt)
        return strategy

agent = SupplyChainAgent(GPT4(), InventorySystem(), SupplierDB(), LogisticsPlanner())
optimization_strategy = agent.optimize_inventory()
print(optimization_strategy)