Scalable solution
Actionable insights
Enhanced ROI
Optimized distribution
The challenge
Optimizing ice cream cabinet distribution with data-driven insights
A leading global consumer goods company sought to optimize its ice cream cabinet distribution across 13,000+ stores. The goal was to enhance sales, improve placement efficiency, and maximize return on investment using data-driven decision-making.
Key challenges
Managing vast, multi-country data for accuracy
No structured way to identify high-potential locations
Optimizing cabinet placements to maximize sales impact
The solution
Driving efficiency with cloud and AI
Cloud based optimization
Automated data processing
Strengthened security with Azure AD
Migrated analytics to Azure Databricks
Scalable architecture
Built cloud-native for flexibility
Used Azure PaaS for scaling
Enabled seamless data integration
Implementation approach
1
Data engineering
Automated data ingestion
Centralized output in Azure Blob
Optimized code performance
2
Deployment automation
One-click deployment via Azure DevOps
Seamless transition from Dev to Production
Automated pipeline with PowerShell and APIs
3
Performance and security
Secure access with Azure AD
Real-time cloud monitoring
Optimized queries for faster insights
The impact
Maximizing ROI through data-driven insights
Scalable insights
Azure-based, multi-country solution
Broad impact across 13,000+ stores
Real-time, data-driven recommendations
Optimized placement
17,000 new cabinet recommendations
Improved store-level decisions
Enhanced sales potential
Increased ROI
Boosted revenue with smarter placements
Automated for greater efficiency
Enabled continuous optimization
