Retail | Store Operations
Store Remodeling
Objective
The client faced challenges optimizing store layouts to enhance customer engagement, improve product visibility, and increase sales.
Challenges
- Identifying high-traffic areas and optimizing product placements.
- Enhancing customer engagement through personalized experiences.
- Improving inventory management and reducing stockouts.
Solution Proposed
The integration of DL, ML, BI, and engineering services enabled us to create physical store modeling layouts based on historical data, which fostered innovation in store design:
- CNNs for object detection to identify high-traffic zones.
- Clustering and Association rules for analyzing customer movement & behavior patterns and product sales performance.
- GANs to generate realistic store designs based on customer preferences and performance metrics.
- Tableau tool to monitor and review performance continuously.
Outcome
- Overall increase in store sales by 10%.
- Improved customer engagement, increasing customer dwell time and product interactions.
- Enhanced product visibility boosting sales of previously underperforming products.
- Optimized store layouts, reducing congestion and improving customer flow.
Design & Thinking Wins
- Data-Driven Approach: The model leverages customer behavior data to optimize store layouts based on real-world insights.
- Personalized Experiences: The model can generate personalized store layouts tailored to different customer segments.
- Continuous Improvement: The model can be continuously updated with new data and adapt to changing customer preferences and market trends.
- Scalability: The solution can be applied to multiple stores and easily adapted to different store sizes and product categories.
Disclaimer: The outline showcases the typical challenges, solutions, designs, and outcomes for industries and functions, in general, based on Affine’s prowess in the Industry. The outcomes would be much higher for specific clients as they would be based on their data and specific problems to be solved.
