Scalable solution
Actionable insights
Strengthened value delivery
Streamlined delivery operations
The challenge
Optimizing ice cream cabinet distribution with data-driven insights
A global consumer goods company sought to optimize its ice cream cabinet distribution across thousands of 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
Meaningful reach across a large store base
Real-time, data-driven recommendations
Optimized placement
Extensive set of cabinet suggestions
Better store-specific insights
Optimized growth potential
Increased ROI
Enhanced sales with data-driven placements
Streamlined via automated workflows
Powered ongoing process refinement
