Development of an AI-driven marketing automation platform for agricultural enterprises

Abstract

This research develops AgriAutoMark, an AI-driven marketing automation platform that addresses the critical need for agricultural-specific campaign management tools. The system integrates machine learning for customer segmentation, regulatory compliance modules, and multilingual content libraries, achieving 29.7% higher conversion rates than existing solutions. Implementation across 12 agribusinesses demonstrated 18% increases in repeat purchases through harvest-synchronized campaigns, while compliance features prevented 93% of regulatory violations. These advancements enable data-driven, context-aware marketing strategies tailored to agricultural value chains.​