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In today’s era, the continuous development of artificial intelligence technology has brought great changes and impacts on the field of warehousing and logistics, which improves the efficiency of the traditional warehousing and logistics field and reduces labor costs. In this paper, firstly, the least squares support vector machine is used to establish the inventory prediction model of warehousing logistics, and the value of inventory in warehousing logistics is predicted according to the model. Secondly, the logistics and warehousing automation architecture is designed to utilize the interaction between different layers to complete the transfer of data and feedback of information. Finally, the established architecture is utilized to form a detailed inventory management model for warehousing and logistics, so as to manage the inventory in logistics and warehousing. The analysis of the inventory prediction and management strategy of artificial intelligence technology shows that the value of artificial intelligence technology is 229, and the actual value of inventory is 230, which indicates that the prediction effect of artificial intelligence technology is better, and the prediction result is more accurate. The analysis of the turnover efficiency of artificial intelligence technology can be concluded that the inventory turnover rate of artificial intelligence is 5 times/month, the turnover efficiency is higher, which can reduce the backlog of inventory, so that the management efficiency of inventory can be improved, and the artificial intelligence technology can accurately predict the value of inventory, and improve the satisfaction of users.