Objective of the Project

LC Waikiki needed a way to manage product categories with large variations (e.g., different colors, sizes, and designs of hats and accessories). Traditional merchandising methods made it difficult to understand customer preferences and optimize product placement.

Solution

🔹 Customer Interaction Analytics – Buybuddy tracked which product variations had high engagement but low sales.
🔹 Demographic-Based Product Placement – AI suggested adjusting shelf positions based on customer demographics.
🔹 Conversion Rate Optimization – Insights were used to test different product placements and measure their impact on sales.

Benefits

✅ Higher sales conversions for slow-moving products
✅ Improved product positioning based on real customer behavior
✅ More efficient use of shelf space for better profitability