Objective of the Project

Marks & Spencer wanted to improve sales of their seasonal “special collections” by understanding which items performed best in-store and optimizing product placement.

Solution

🔹 In-Store Performance Tracking – Buybuddy’s AI tracked customer engagement, stock levels, and conversion rates of special collection items.
🔹 Data-Driven Product Placement Adjustments – Based on insights, slow-moving items were repositioned for better visibility, and high-performers were allocated more shelf space.
🔹 Targeted Promotions – The system flagged low-converting items for discounting or marketing campaigns to boost interest.

Benefits

✅ +21% increase in special collection sales
✅ Optimized in-store layouts for higher conversion rates
✅ Enhanced merchandising strategy with AI-driven insights