Lightweight AI and Blockchain Optimization for Enhancing Consumer Electronics Decision-Making

Under the 'dual carbon' background, consumer electronics consumption has become deeply ingrained in people's minds. However, consumers often distrust the sustainability claims of consumer electronics products. Artificial intelligence (AI) and blockchain technology can address this trust deficit through transparency and traceability mechanisms. This study integrates blockchain technology into traditional consumer electronics supply chains, considering consumers' preferences and trust in these products. An AI-based game model is proposed to analyze the interactions among supply chain members before and after implementing blockchain technology, under varying Edge Computing-based power structures. This model quantitatively evaluates emission reduction and pricing strategies, aiming to optimize consumer surplus and total social welfare. By leveraging Lightweight AI and blockchain, smart wholesale and cost-sharing contracts are designed to establish reasonable ranges for wholesale prices and optimal cost-sharing ratios, enhancing enterprise operational efficiency and achieving supply chain coordination. Results demonstrate that when consumers exhibit a stronger preference for consumer electronics products, the adoption of Lightweight AI and blockchain delivers greater benefits across the supply chain. Furthermore, as consumer willingness to purchase these products increases, the advantages become more pronounced. Numerical analysis highlights that smart contracts can better coordinate the supply chain, particularly in retailer-dominated scenarios. Finally, empirical cases validate the effectiveness of the proposed strategies and models.