AI-Powered Demand Forecasting for Growing Businesses
Turn your historical sales data into accurate, automated demand forecasts. No data scientists. No complex software. Just better inventory decisions, every week. — Deployed in 1–2 Days
THE PROBLEM
Most businesses still rely on rule-based fraud detection — and fraudsters already know how to bypass it.
Your team spends hours reviewing flagged transactions.
False positives waste time, while real fraud slips through unnoticed.
A $6,000 suspicious transaction gets missed.
A legitimate $800 customer order gets blocked.
Every channel adds more complexity — more blind spots, more risk.
The impact:
- $4.23 lost for every $1 of fraud (including fees + churn)
- 60–80% of alerts are false positives
- Detection takes 3–5 days on average
- Manual review slows down real business growth
Root cause: No real-time system that understands context and adapts.
SOLUTION
AI Fraud Detection That Thinks in Real Time
We deploy a fully managed AWS-based AI system that evaluates every transaction instantly.
It combines:
- Fast rule-based filtering (speed)
- AI reasoning via Amazon Bedrock (intelligence)
What happens in real time:
- Transaction enters API Gateway
- AWS Lambda applies risk rules instantly
- High-risk cases go to AI for deep analysis
- Final risk score is generated in <2 seconds
- Alerts trigger instantly if needed
You get:
- Real-time fraud scoring
- AI-driven risk reasoning (fully explainable)
- Instant SMS/email alerts
- Full audit trail for compliance
- Adaptive learning from user behavior
- Fully serverless, auto-scaling system
No ML engineers. No infrastructure management.
SOLUTION ARCHITECTURE
How It Works
AWS-Powered Architecture
Built entirely on serverless AWS:
- API Gateway → secure transaction intake
- AWS Lambda → real-time scoring engine
- Amazon Bedrock (Nova) → AI fraud reasoning
- DynamoDB → transaction storage
- S3 → audit logs (Glacier archival)
- SNS → fraud alerts
- CloudWatch → monitoring
BUSINESS OUTCOMES
Measurable Results
- 40–60% reduction in fraud losses
- 30–50% fewer false positives
- Fraud detection reduced from days → seconds
- 10+ hours/week saved in manual review
Real-world AWS outcomes:
- Generali: €200M+ savings via AI automation
- Stripe: real-time fraud scoring at global scale
- Major insurers: 35% fraud reduction + fewer false alerts
- Global retailers: 42% drop in chargebacks