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Our Case

Case Studies | Our Work
Artificial Intelligence & Commerce

Opta AI: Intelligent Commerce Platform

Client Context

A fast-growing digital commerce platform needed to improve customer engagement and unlock insights. Traditional rule-based chatbots were failing to scale, delivering poor user experiences.

Problem Statement

  • Discovery issues in large catalogs
  • Overloaded support teams

Our Solution

  • Semantic search & RAG
  • Real-time personalization layer

Measurable Impact

High
Conversion Rate
Reduced
Support Load
AI Chat Interface

Architecture Pattern

Vector Search & RAG

"OptaAI has transformed how we handle procurement. It is not just a chatbot—it is a decision layer."

NP

Neel Patel

CFO, Optamark

Java 17 / Spring Boot 3 OpenAI Elasticsearch (Vector) Kafka
Backend Architecture

High-Scale Java Microservices Platform

Java Code Architecture
High Throughput
Java Spring Boot Kafka PostgreSQL

The Context

An enterprise client required a resilient backend platform capable of handling high-throughput transactional workloads with strict latency requirements.

The Challenge

  • Monolithic architecture
  • Slow deployments

Microservices

  • Event-driven (Kafka)
  • Optimized JVM

Outcomes

Faster
Deployments
Reduced
Latency
Data Engineering

Large-Scale Data Migration

Client Context

A data-intensive platform needed to migrate massive production datasets from Apache Cassandra to PostgreSQL with zero tolerance for data loss.

The Challenge

  • Billions of records
  • Existing tools failed

Spark Migration Tool

  • Verifiable data pipeline
  • Built-in retry mechanism

Key Outcomes

Zero
Data Loss
Audit
Full Reporting
Data Analytics

Architecture Pattern

Distributed Processing

Apache Spark Cassandra PostgreSQL