Optimization Strategy of Food E-Commerce Platform Based on Big Data
In the context of the continuous development of big data technology,food e-commerce platforms have gradually realized precision marketing,efficient inventory management and quality customer service.However,at present,the big data application of food e-commerce platform has problems such as low data quality,weak data analysis ability and data security.The optimization strategy of food e-commerce platform with big data as the core is proposed,which mainly includes strengthening data collection and integration,improving data analysis ability,optimizing personalized recommendation system and strengthening data security management.
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