Objective of the Project

Penti wanted to increase foot traffic and conversions for their special collections by optimizing window displays and in-store layouts.

Solution

🔹 AI-Powered Visual Merchandising Insights – Buybuddy tracked which mannequin displays and window setups drove the most engagement.
🔹 Data-Driven Product Placement Adjustments – AI helped rearrange store layouts to match customer movement patterns.
🔹 Campaign Optimization – Underperforming products were repositioned or repurposed into promotional campaigns.

Benefits

✅ Increased traffic and conversions for selected collections
✅ More effective visual merchandising strategies
✅ Higher in-store engagement with data-backed decision-making