CUSTOMER SUCCESS•December 5, 2024
Fortune 500 Retailer Achieves 60% Cost Reduction with PolicyCortex
Case study demonstrates significant operational improvements and cost savings.
By Nkeiruka Esere•Director of Marketing and Customer Success
A Fortune 500 retail corporation has achieved a 60% reduction in cloud infrastructure costs while improving system performance by 40% through the implementation of AeoliTech's PolicyCortex platform. The transformation, completed in just 90 days, demonstrates the powerful impact of AI-driven cloud governance on enterprise operations.
The Challenge
The retailer, operating over 2,000 stores worldwide with a robust e-commerce platform, was struggling with exponential cloud cost growth and increasing operational complexity. Their multi-cloud environment spanning AWS, Azure, and GCP had become difficult to manage, with monthly cloud spending exceeding $8 million and growing 30% year-over-year.
Key Pain Points
- • Uncontrolled cloud spending with limited visibility into cost drivers
- • Manual governance processes taking weeks to implement
- • Compliance violations resulting in audit failures
- • Over-provisioned resources wasting millions annually
- • Security vulnerabilities from configuration drift
The Solution
AeoliTech implemented PolicyCortex with a phased approach designed to deliver quick wins while building toward comprehensive governance automation. The deployment focused on three key areas: cost optimization, security enforcement, and compliance automation.
Phase 1: Discovery and Assessment (Days 1-30)
PolicyCortex performed comprehensive discovery across all cloud accounts, identifying over $3.2 million in immediate savings opportunities. The AI-driven analysis revealed that 67% of resources were over-provisioned and 43% of storage was unused.
Phase 2: Optimization and Automation (Days 31-60)
Automated policies were deployed to right-size resources, eliminate waste, and enforce governance standards. The platform's ML algorithms analyzed usage patterns to predict optimal resource configurations while maintaining performance SLAs.
Phase 3: Continuous Improvement (Days 61-90)
Self-learning capabilities were activated, enabling the platform to continuously optimize based on changing patterns. Predictive analytics began forecasting issues 30 days in advance, allowing proactive remediation.
Remarkable Results
Measurable Outcomes
Cost Optimization
- • 60% reduction in monthly cloud spend
- • $4.8M annual savings achieved
- • 85% resource utilization improvement
- • Zero budget overruns since implementation
Operational Excellence
- • 95% reduction in manual tasks
- • 40% performance improvement
- • 99.99% uptime achieved
- • 3 minutes mean time to resolution
Business Impact
Beyond the immediate cost savings, the implementation delivered strategic business benefits. The IT team was freed from routine maintenance to focus on innovation. Time to market for new features decreased by 50%. Customer experience improved with faster page load times and zero downtime during peak shopping periods.
"PolicyCortex didn't just reduce our costs; it transformed how we operate. We've gone from fighting fires to driving innovation. The platform pays for itself every month through savings alone."— Chief Technology Officer
Key Success Factors
Executive Sponsorship
Strong support from C-suite ensured resources and organizational alignment for the transformation.
Phased Approach
Starting with quick wins built confidence and momentum for broader implementation.
Continuous Learning
PolicyCortex's ML models adapted to the retailer's unique patterns, improving effectiveness over time.
Looking Forward
The retailer plans to expand PolicyCortex usage to include predictive capacity planning for seasonal peaks and automated disaster recovery testing. With the foundation in place, they expect to achieve fully autonomous cloud operations within 12 months.
Achieve Similar Results
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