Promotion Optimization Project
Promotion Optimization Project: Data-Driven Personalized Customer Experience Research
Project Overview
Corca's AI-Based Promotion Optimization Project leveraged advanced AI technology to enhance promotion planning and execution, delivering tangible results. By analyzing customer data, the project automatically determined optimal discount rates, product selections, and timing, successfully providing personalized benefits that achieved both customer satisfaction and revenue growth.
Research Objectives
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Data-Driven Promotion Strategy:
AI was used to analyze customer purchasing patterns and preferences, allowing for personalized event proposals that increased customer engagement and event efficiency.
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Sales and Profit Growth:
Monthly sales and profits in key product categories increased by over 5%, supporting sustainable growth.
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SKU Efficiency Enhancement:
Based on sales data and customer response, SKU count was streamlined by up to 60%, focusing on core products.
Key Research Areas
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AI-Powered Promotion Optimization:
Customer data was analyzed by AI models to optimize promotion timing, product selection, and discount rates, maximizing the effectiveness of each promotion.
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Predictive Performance Modeling:
AI predictive models assessed the impact of discount rates and price adjustments on sales and profits, supporting data-driven decision-making. This enabled the development of optimal promotion strategies tailored to seasonal trends and store-specific needs.
Future Research and Expansion Potential
Building on the success of this promotion optimization project, Corca plans to further leverage AI and customer behavior data to advance customer segmentation models and promotion performance forecasting systems. This approach aims to create systems that deliver increasingly personalized experiences at each customer touchpoint.
Conclusion
Through its AI-BasedPromotion Optimization Project, Corca has successfully implemented a data-driven personalized event strategy based on customer behavior and preference analysis. The company has transitioned from intuition-based approaches to evidence-based event planning by implementing real-time AI solutions, introducing predictive models that enable precise targeting and optimized event timing. Through SKU optimization, Corca achieved innovative results by reducing SKU complexity by 60% while maintaining variety and customer satisfaction, and these data-driven strategies have significantly contributed to improving customer experience and operational efficiency. Moving forward, Corca will build upon this success to further advance its AI technology, enhance customer segmentation and performance forecasting, ultimately leading retail innovation by creating meaningful and strategic interactions at every customer touchpoint.