Operational time improvement
Previous annual penalties
Demonstrated cost savings
Month implementation timeline
The challenge
Overcoming costly delivery delays in complex supply chains
A leading multinational CPG company was facing significant financial penalties from delayed deliveries, amounting to $24 million annually. The challenge was to optimize complex logistics operations and maximize on-time deliveries to reduce these penalties.
Key challenges
Complex multi-stage outbound shipment processes and tracking
Significant recurring financial penalties for delays
High volume of daily deliveries across networks
Multiple stages in shipment tracking
The solution
Azure-powered predictive analytics platform
Intelligent modeling
Predictive risk assessment
Bayesian inference modeling
Real-time analytics integration
ERP and TMS system integration
Implementation framework
Azure cloud platform deployment
Comprehensive tracking system
Cross-departmental coordination
Automated decision support
Implementation approach
1
Discovery and planning
Source system identification
Stakeholder requirements gathering
Process analysis and mapping
Infrastructure planning
2
Development
Predictive model creation
Azure cloud integration
System testing and validation
Performance monitoring
3
Deployment
Phased implementation
System integration
North America rollout
Continuous optimization
The impact
Fundamentally transformed delivery performance metrics
Delivery efficiency
Enhanced delivery tracking
Improved information retrieval
Reduced delays
Improved timing accuracy
Financial impact
Operational cost reduction
Reduced delivery penalties
Operational savings
Enhanced efficiency
Performance monitoring
Operational excellence
Process optimization
Unified tracking system
Streamlined workflows
Cross-department collaboration
Looking ahead
Enhanced analytics
Unlocking advanced predictive capabilities
Expanded deployment
Seamlessly scaling across broader markets
Continuous improvement
Driving further efficiency optimization
