Enhanced accuracy
AI-driven precision
Significant improvement
Optimized demand planning
The challenge
Enhancing forecast accuracy for a volatile and seasonal market
A leading CPG company sought to enhance its demand forecasting capabilities for a highly volatile and seasonal product category. The goal was to improve forecast accuracy, optimize inventory management, and ensure better supply chain efficiency.
Key challenges
Unpredictable demand fluctuations
Existing models needed adaptability
Stock imbalances and higher costs
Inconsistent demand surges
The solution
Transforming demand forecasting with AI
AI-powered forecasting
Deployed AI-powered Foresient
Used Nielsen data for accuracy
Provided stable forecasts
Outperforming legacy systems
Outperformed client models
Adapted to seasonal shifts
Boosted precision
Implementation approach
1
Data integration
Integrated Nielsen data
Synced with systems
Trained AI for patterns
2
Model optimization
Optimized accuracy
Reduced fluctuations
Adapted to market shifts
3
Deployment and results
Implemented Foresient
Improved accuracy
Optimized inventory and supply chain
The impact
Driving accuracy and efficiency with AI
Improved accuracy
Stabilized volatile forecasts
Ensured reliable predictions
Reduced errors
AI-driven precision
18% higher accuracy
Enhanced demand planning
Reduced stock imbalances
Business efficiency
Increased cost savings
Data-driven decisions
Optimized inventory
Looking ahead
Continuous improvement
Enhance AI models for higher accuracy
Scalability and expansion
Extend Foresient’s application to more categories
Data-driven innovation
Leverage analytics for smarter forecasting
