Monitoring transaction histories and the flow of commodities is complicated with increasing transaction risks and disputes. Although a variety of technological solutions are available in the market, they often operate in isolation, lacking effective integration. In addition, the traditional barter trade model, with its inefficiency, lack of transparency, and security risks, hinders the efficient development of trade. Therefore, a smart barter platform is required to create a system where multiple technologies, such as artificial intelligence, blockchain, near-field communication, and IoT, are integrated to enhance transaction efficiency and user experience. In this study, we developed deep learning and machine learning algorithms for the smart barter platform, which accurately identify market demand, optimize supply chains, and predict demand trends. Blockchain technology was employed to ensure the transparency, security, and traceability of transactions. The core function of the developed smart barter platform is to accurately predict and intelligently match market supply and demand while ensuring transaction transparency and temporality through blockchain technology. E-commerce platform companies confirmed the advantages of the smart barter platform in improving transaction success rates and transaction security. The companies using the developed AI and blockchain increased the successful search rate for merchandise by 15.5%. The developed innovative technological solution for smart barter transactions is a new business model for the digital economy.