Tier 1 (Hero)
AI-Powered Demand Forecasting & Inventory Optimization
Client
Keyem Fashion Retail
Industry
Retail & E-Commerce
ROI (Year 1)
275%
The Challenge
Keyem operated 45 stores with 12,000+ SKUs. Demand forecasting accuracy was 68%, resulting in $1.2M excess inventory carrying costs annually.
AI Solution Architecture
Implemented OPUS eCommerce with ML demand forecasting (94% accuracy) and inventory optimization. Real-time stock level recommendations.
Business Impact
32% reduction ($1.2M annually)
Inventory Carrying Costs
4.2x → 5.4x (28% improvement)
Inventory Turnover
68% → 94% accuracy
Demand Forecasting
45%
Stock-Out Reduction
+18%
Sales Increase
275%
ROI (Year 1)
Technologies Used
eCommerce PlatformML ForecastingInventory OptimizationReal-time AnalyticsPOS Integration
"OPUS eCommerce reduced our inventory costs by $1.2M annually and improved turnover by 28%. Demand forecasting accuracy jumped to 94%, and sales increased 18%."
Retail Manager
Keyem Fashion Retail
Key Metrics
32% reduction ($1.2M annually)
Inventory Carrying Costs
4.2x → 5.4x (28% improvement)
Inventory Turnover
68% → 94% accuracy
Demand Forecasting
45%
Stock-Out Reduction
Interested in Similar Results?
Discover how OPUS can transform your operations with AI-powered solutions.
Request DemoReady to Transform Your Operations?
See how OPUS AI-powered solutions can deliver similar results for your enterprise