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Case Studies

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AI-driven transaction processing on a scalable big data system

AI-driven transaction processing on a scalable big data system

AI-driven transaction processing on a scalable big data system

How a leading loyalty firm built a scalable data ecosystem for smarter engagement

How a leading loyalty firm built a scalable data ecosystem for smarter engagement

Scalable solution

Multi-source integration

Revenue growth

Future-ready

The challenge

Building a scalable loyalty marketplace for seamless transactions

A leading loyalty firm aimed to launch an online-only coalition program, creating a "marketplace of marketplaces" to offer loyalty solutions to major eCommerce platforms in the region.

Key challenges

  • Handling ~1M transactions in six months

  • Seamless integration of vendor partners

  • Scalable tracking and optimization

The solution

Optimized data ecosystem

Scalable data infrastructure

Integrated transactions and campaigns

Secure, high-performance warehouse

Deployed on-prem SaaS model

Advanced data management

Supports relational & non-relational data

Securely hosted at Fractal

Enabled real-time tracking

Implementation approach

1

Data warehouse setup

  • Scalable storage

  • High-volume optimized

  • Automated ingestion

2

Data processing and analytics

  • Real-time tracking

  • Monitored campaigns

  • Merged clickstream & transactions

3

Security and optimization

  • Secure hosting

  • Role-based access control

  • Continuous optimization

The impact

Driving scalable and intelligent loyalty solutions

Scalable growth

  • Processed ~1M transactions in six months

  • Integrated data sources

  • Ensured performance

Business impact

  • Uncovered cross-sell and up-sell

  • Strengthened coalition program

  • Improved targeting

Advanced insights

  • Improved campaign tracking

  • Enabled loyalty analytics

  • Data-driven decisions

Looking ahead

Scaling for growth

  • Expanding data capabilities for higher transaction volumes

Enhanced personalization

  • Using AI for deep customer insights and targeted engagement

Strengthened security

  • Optimizing data protection and compliance measures