Conversational Analytics Platform (GenAI)
A modern analytics platform that converts complex operational data into actionable insights using AWS and GenAI. It automates data pipelines, KPI computation, and visualization while enabling users to interact with data through natural language queries. With real-time dashboards and AI-driven recommendations, it empowers organizations to make faster, smarter, and more data-driven decisions at scale.
Overview
2025,
Case-Study
Manual labour analytics was slowing down decision-making and limiting visibility.
A labour-intensive organization relied on manual reporting and fragmented data sources, making it difficult to answer critical business questions like:
Which time periods are most productive?
Where is overstaffing or understaffing happening?
How do labour costs impact performance?
The solution was not more reports — it was real-time, AI-powered analytics.
Algorims built a Conversational Analytics Platform using AWS and GenAI, enabling business users to ask questions in plain English and instantly receive insights, charts, and recommendations.
Process
The platform was designed as a serverless, cloud-native analytics system:
Data Ingestion & Storage
Raw labour and transaction data ingested into Amazon S3 and structured for analytics.
Data Engineering Pipeline
AWS Glue (Crawler + ETL) cleans, transforms, and converts raw data into optimized formats for fast querying.
Analytics Layer
Amazon Athena processes large datasets and computes key business KPIs such as productivity and labour efficiency.
Custom KPI Engine
Key metrics like:
TCPMH (Transactions per Crew Man Hour)
SPMH (Sales per Man Hour)
Labour Cost %
are computed and validated based on business logic.
AI-Powered Interface (GenAI Layer)
Amazon Q Natural Language Query allows users to:
Ask questions in plain English
Get AI-generated charts and insights
Receive contextual follow-up suggestions
Visualization & Dashboard
AWS QuickSuite dashboards provide:
Real-time analytics
Interactive visualizations
KPI monitoring across time, zones, and operations
Security & Governance
Enterprise-grade security with encryption, IAM role-based access, and full audit logging.
Outcome
The Impact: From Manual Reports to Real-Time Intelligence
Instant Decision-Making with AI
Business users no longer depend on analysts — insights are generated instantly through natural language queries.
Massive Data Processing at Scale
Handled 490K+ transactions across 13 months with complete visibility.
Hidden Productivity Gaps Identified
Discovered a 46% productivity gap between operational time periods — enabling targeted optimization.
Faster Deployment, Faster Value
Fully deployed and operational in just 4 weeks, from architecture to production.
Improved Workforce Optimization
Enabled proactive staffing decisions, reducing inefficiencies and improving cost control.
Democratized Data Access
Non-technical users can explore data without SQL or technical skills.
Scalable & Secure Architecture
Serverless AWS stack ensures high performance, security, and future scalability.
Mohana Priya
Cloud DevOps Engineer
2025,
Case-Study
