Integration of Mobile Interaction Technologies in Supply Chain Management for S2B2C E-Commerce Platforms
DOI:
https://doi.org/10.3991/ijim.v19i03.53953Keywords:
S2B2C e-commerce platform; supply chain management; mobile interaction technology; demand forecasting; big data; intelligent algorithmAbstract
With the rapid development of e-commerce, the supplier to business to consumer (S2B2C) model, as an emerging business model, has become an essential component of modern supply chain management. However, traditional supply chain management models are increasingly inadequate to meet the demands of the fast-changing market and complex supply chain collaboration, particularly in areas such as information sharing, real-time data updates, and demand forecasting. Existing research primarily focuses on the optimization of individual supply chain components, such as inventory management, order tracking, or logistics scheduling, with limited attention given to the collaboration between parties and the overall management of the supply chain under the S2B2C model. Additionally, while some studies have proposed information-sharing mechanisms and demand forecasting models based on mobile platforms, the practicality and accuracy of existing methods are still limited in practical applications due to factors such as data processing capabilities, algorithm accuracy, and the dynamic nature of consumer behavior. Therefore, this study proposes an integrated solution for supply chain management based on mobile interaction technology within the S2B2C e-commerce platform. The aim is to enhance the intelligence, flexibility, and transparency of the supply chain through technological innovation. The core research focuses on the implementation technologies for mobile terminals in supply chain management on the S2B2C e-commerce platform, along with the design and implementation of a demand forecasting model and algorithm based on mobile applications.
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Copyright (c) 2024 Chaojian Li, Yutong Gong
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