Optimized Combination of E-Commerce Platform Sales Model and Blockchain Anti-Counterfeit Traceability Service

Abstract

With the rise of e-commerce and the increasing prevalence of counterfeit products, there is a pressing need for robust anti-counterfeit measures. This research aims to explore the optimized combination of an e-commerce platform sales model and a blockchain-based anti-counterfeit traceability service strategy. By integrating the strengths of e-commerce platforms and blockchain technology, this study proposes a comprehensive approach to enhance consumer trust, reduce counterfeit products, and improve supply chain transparency. The research investigates various e-commerce sales models, such as business-to consumer (B2C) and consumer-to-consumer (C2C), to identify their effectiveness in combating counterfeiting. Additionally, the study explores the implementation of blockchain technology to establish a decentralized and immutable traceability system that ensures the authenticity and integrity of products. The proposed strategy leverages smart contracts, cryptographic hashing, and consensus mechanisms to enable real-time product verification and anti-counterfeit tracking throughout the supply chain. Through this optimized combination, it is anticipated that consumer confidence will be bolstered, counterfeit products will be mitigated, and stakeholders across the e-commerce ecosystem will benefit from improved transparency and accountability. The findings of this study contribute to the development of effective anti-counterfeit strategies and provide insights for e-commerce platforms and stakeholders seeking to enhance trust and combat counterfeit activities.