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This is a Quantitative Study study.

Big Data-Driven E-Commerce Marketing Strategies for Agricultural Products

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Big data can reduce demand forecast error rate by 13%, improving market accuracy and efficiency.
The study found a 23% reduction in unsalable rates, indicating improved inventory management strategies.
Data-driven strategies increased conversion rates by 128.6%, highlighting the effectiveness of personalized marketing.
This research offers strategic insights for small e-commerce enterprises transitioning marketing approaches.

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Analysis shows big data enhances market demand forecasting and personalized marketing for agricultural products.

Cui et al. (2025) studied this question.

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