Building an AI Product Selection Optimization Model for Food Categories in Live-Streaming E-Commerce: A Multi-Dimensional Interactive Real-Time Selection Optimization Model (MDISOM)

Xiaofang Zhang (), Kunyu Lu (), Huihua Zheng, Jiachun Lin and Heli Zhang
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Xiaofang Zhang: Guangdong University of Science and Technology
Kunyu Lu: Guangxi Quality Engineering Vocational College
Huihua Zheng: Guangdong University of Science and Technology
Jiachun Lin: Guangdong University of Science and Technology
Heli Zhang: Guangdong University of Science and Technology

A chapter in Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025), 2025, pp 485-493 from Springer

Abstract: Abstract With the explosive growth of live-streaming e-commerce, traditional product selection methods struggle to meet the demands of the food category due to its characteristics such as short shelf life, strong seasonality, and low stand-ardization. This study proposes the Multi-Dimensional Interactive Real-Time Product Selection Optimization Model (MDISOM), which integrates five dimen-sions: product features, real-time interaction data, host characteristics, spatiotem-poral factors, and supply chain status. It achieves dynamic product selection op-timization through multimodal deep learning and reinforcement learning. Experi-ments demonstrate that MDISOM significantly outperforms baseline models in accuracy (84.7%), F1 score (0.834), and AUC (0.896). Practical applications achieved a 22.7% increase in sales revenue, an 18.9% boost in conversion rate, and a 15.3% improvement in inventory turnover efficiency. This study also vali-dates the effectiveness of a human-machine collaborative semi-automated product selection system, providing a theoretical framework and technical solution for food product selection in live-streaming e-commerce.

Keywords: Live-streaming e-commerce; Food selection; Artificial intelligence; Multi-dimensional model; Real-time optimization; Human-machine collaboration (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-916-2_52

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