Faster decisions
Intuitive search
Real-time alerts
Self-service analysis
The challenge
Empowering faster decision-making with AI-driven insights
A client required a faster, self-sufficient solution to analyze and interpret topline KPIs across zones, countries, and vessels.
Key challenges
Reliance on internal analytics teams delayed insights
Executives struggled with complex data queries
No instant alerts on KPI fluctuations
The solution
Accelerating insights with AI and cloud
AI-driven insights
Deployed Cuddle.ai for instant KPIs
Reduced time-to-insight
Enabled NLP search
Cloud performance
Used AWS for speed and scale
Integrated key infrastructure
Ensured automation and reliability
Implementation approach
1
Automated deployment
Ensured high availability
Enabled rapid containerized deployment
Scaled microservices with EKS
2
High-speed processing
Enabled real-time insights
Efficient large-scale processing
Fast data handling with EMR & S3
3
Smart data management
Stored semantic data in RDS Postgres
Structured for easy queries
Enhanced reliability
The impact
Accelerated decision making
Faster decision-making
Instant executive insights
Reduced analytics team reliance
Quicker strategic actions
Easy data access
Natural language search
Real-time KPI tracking
Smarter decisions
Proactive alerts
Detected KPI shifts
Instant notifications
Faster response
Looking ahead
Enhanced AI capabilities
Expand predictive insights for proactive decision-making
Scalability and integration
Extend solution across more business functions
Continuous optimization
Refine models with real-time feedback and evolving data