Wireless sensor networks (WSN) allow consumer devices to perform logistical tasks without difficulty. There are growing challenges related to e-commerce logistics, such as congestion, high energy consumption, and complex decision-making. A framework based on Artificial Intelligence is proposed here to boost the performance of WSN in e-commerce electronics and to reduce their energy consumption. AI-driven optimization strategies are integrated into the proposed model, reducing latency, optimizing energy consumption, and maximizing network performance. Comparative studies prove that the proposed approach is more cost-effective, reduces energy consumption, and is more scalable than other optimization techniques. Researchers have identified a promising application for AI-integrated wireless sensor networks, offering solutions for sustainable, adaptive, and intelligent resource management in e-commerce environments.