6G-Driven Cyber Physical Supply Chain Model for Supporting E-Commerce Industries

The evolution of e-commerce trade becomes more important also the integration of 6G generation into cyber-physical systems presents the transformative ability to supply chain control. This paper proposes a novel 6G-driven cyber-physical supply chain version designed for e-commerce industries, aiming to address the growing demands for performance, reliability, and actual-time monitoring in logistics operations. By connecting the abilities of 6G, including Ultra-Reliable Low Latency Communications, massive Machine Type Communication, and Enhanced Mobile Broadband, these version gives a complete approach to enhance the supply chain's performance from manufacturing to delivery. In the existing methods, the e-commerce sequential processing is not addressed. In the proposed work, the sequential data is processed, and the tracking is efficiently predicted, which makes e-commerce management. The proposed research used RNN-LSTM method for supporting E-Commerce industries based on 6G-driven cyber physical system model. A key innovation of the proposed model is its adaptive, self-optimizing, which dynamically adjusts to changes in call for, deliver situations and network status. This flexibility ensures that e-trade agencies can maintain the most efficient stock stages, reduce lead instances, and enhance purchaser preference through timely and correct deliveries. Implementing this 6G-driven cyber-physical supply chain version guarantees vast operational performance, sustainability, and client experience improvements. The proposed method is compared with existing methods such as CNN-LSTM, CapsNet and CNN-BiLSTM. The proposed method enhances the data transmission, improves the e-commerce management for taking better decisions.