Under Armour: Boosting Sales through Smart Store-to-Store Transfers
How Under Armour optimized inventory balance across their retail network, increasing sales and reducing stockouts through AI-powered store-to-store transfers.
The Challenge
Under Armour’s retail operations faced a common challenge in physical store management — product imbalances across locations. While some stores experienced frequent stockouts of popular items, others had unsold inventory of the same products. This imbalance resulted in lost sales opportunities and increased holding costs.
The key question: How can we ensure the right products are available in the right stores at the right time?
The Solution
Partnering with RNV.ai, Under Armour implemented an AI-powered Store-to-Store Transfer Optimization System. RNV’s algorithm analyzed real-time sales velocity, store-level demand, and product turnover rates to identify transfer opportunities between locations.
- Dynamically reallocate stock from low-performing to high-performing stores
- Reduce excess inventory without resorting to markdowns
- Increase product availability where demand was highest
Results
The data-driven transfer strategy delivered immediate and measurable results:
Generated through store-to-store transfers, executed in line with product size curves and product segmentation.
From out-of-stock situations, particularly for high-demand sizes and key product segments.
Across the retail network, by size and segment, minimizing need for discounting and clearance.
Conclusion
By leveraging RNV.ai’s AI-driven inventory intelligence, Under Armour transformed its retail operations - ensuring that every store carried the products customers wanted most. The project demonstrated the power of smart inventory mobility and set a new benchmark for AI-powered retail efficiency.
Network Inventory Balance
LIVE OPTIMIZATION
Live visualization of inventory balancing logic across the retail network.