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Guest
Oct 17, 2025
6:59 AM
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This approach employs a decentralized network of specialized AI agents—such as a Demand Forecasting Agent, an Inventory Agent, a Procurement Agent, and a Logistics Agent—that operate autonomously, communicate, and negotiate in real-time. This collective intelligence enables the system to rapidly process vast amounts of disparate data from ERPs, IoT sensors, and market signals to execute complex business process automation (BPA) tasks. For a businessperson, this translates into enhanced system resilience, predictive risk mitigation (e.g., automatically rerouting shipments to avoid a geopolitical disruption), and dynamic, cost-efficient resource allocation, ultimately leading to a significant reduction in operational costs (inventory, logistics) and a boost in supply chain agility and customer satisfaction.
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