Success stories, in depth

Problem

FinCore faced escalating fraud losses as transaction volume grew 3x year over year. Rules-based systems produced excessive false positives, frustrating legitimate customers while still missing sophisticated fraud.

Solution

We built a real-time anomaly-detection pipeline combining gradient-boosted models with behavioral features, scoring every transaction in under 40ms and adapting to emerging fraud patterns.

Implementation

A streaming architecture on Kafka fed engineered features into an ensemble model served via FastAPI, with a human-in-the-loop review console and continuous retraining.

Results & metrics

Problem

Meridian struggled with chronic over- and under-stocking across hundreds of stores, tying up capital and losing sales to stockouts.

Solution

SKU-level demand forecasting with regional seasonality, promotions, and external signals, feeding automated replenishment recommendations.

Implementation

TensorFlow forecasting models orchestrated with Airflow on AWS, integrated directly into Meridian's ERP for one-click ordering.

Results & metrics

Problem

A fast-growing SaaS company saw support costs balloon as ticket volume outpaced hiring, hurting response times and CSAT.

Solution

A context-aware AI support agent grounded in NovaSaaS documentation with seamless live-agent handoff for complex cases.

Implementation

A RAG system using LangChain and Pinecone over product docs, deployed across chat and email with full analytics.

Results & metrics