Case Study: Easy Pay cuts transaction time by 58% and doubles POS capacity with Amazon Web Services

Easy Pay Reduces Transaction Time by 58% Using AWS

Easy Pay is an Indian fintech that equips neighborhood retail shops with POS systems to accept bill and transit payments for dozens of service providers, organizing “mom and pop” stores into local service centers. As the business scaled from a handful of terminals to hundreds across multiple cities, its on‑premises infrastructure suffered frequent downtime and slow processing—transactions averaged 12 seconds and server deployments took up to 24 hours—so Easy Pay needed a highly available, automatically scalable platform to ensure smooth, reliable transactions.

Migrating key workloads to AWS (Amazon EC2, ELB, RDS, AMIs and auto‑scaling) delivered the required resilience and agility: transaction time fell from 12 to 5 seconds (≈58% reduction), POS throughput doubled (6,000 → 12,000 daily transactions per outlet), new servers launch in 2 minutes instead of 24 hours, the system scales to handle 10× traffic spikes, and availability is near 100%. The move also simplified operations (one person now manages the infrastructure), unlocked new banking and government opportunities, and coincided with a 200% increase in topline growth.

Easy Pay

Rahil Patel

Co-founder & COO