26%
Working capital reduction
33%
Days of supply reduction
99.9%
Service levels achieved
$5M+
Working capital released
The challenge
Overcoming complex inventory management issues
A Fortune 100 CPG company struggled with high working capital blockage due to excessive inventory levels across their diverse product portfolio. Their existing approach to inventory management was creating unnecessary costs and tying up valuable resources.
Key challenges
Extensive portfolio complexity with thousands of SKUs requiring individual management attention
Insufficient demand forecasting capabilities leading to suboptimal inventory decisions
High working capital tied up in excessive safety stock and cycle stock inventory
Lack of sophisticated analytics tools to predict and manage seasonal demand fluctuations
Manual and inconsistent processes for determining optimal stock levels across locations
The solution
Analytics-driven optimization for inventory management
Predictive intelligence
Advanced demand sensing algorithms leveraging machine learning to forecast customer behavior and market trends
Sophisticated safety stock prediction models incorporating multiple variables and seasonality patterns
Comprehensive service level simulation platform for scenario planning and risk assessment
Inventory management
Dynamic inventory norms automatically adjusting to market conditions and demand fluctuations in real-time
Lead time optimization through advanced analytics and supplier performance tracking systems
End-to-end supply chain efficiency improvements using AI-powered optimization algorithms
The impact
Transforming inventory management and driving results
Inventory improvements
33%
Days of supply reduction
Optimized stock levels
Enhanced efficiency
Maintained service quality
Service impact
99.9%
Service levels
Early intervention
Personalized retention
Value-based engagement
Financial value
$5M
Total impact
Working capital released
Reduced holding costs
Increased efficiency in capital utilization
Looking ahead
Extended implementation
Rolling out to additional brands
Global expansion
Scaling across markets
Enhanced analytics
Advancing predictive capabilities
