Development of a Scalable Purchase Intelligence Platform for Financial Institutions

The client faces difficulties in efficiently onboarding new banking institutions, reducing time-to-market for analytics tools, and scaling data infrastructure to support over 170 million customers. Legacy systems hinder rapid deployment, and inconsistent UI/UX affects user engagement across web and mobile platforms.

A large fintech SaaS provider delivering purchase intelligence solutions to over 1500 financial institutions, focusing on data analytics, customer onboarding, and campaign management.

• Reduce customer onboarding time from weeks to hours through improved SDKs and streamlined processes.
• Scale data processing capabilities to support purchase analytics for over 170 million customers.
• Modernize web and mobile user interfaces to create intuitive, responsive, and customizable client-facing applications.
• Develop highly scalable and flexible data pipelines using cloud-based technology and microservices architecture.
• Deliver reusable UI components and branding assets to ensure consistency across platforms.
• Optimize database and data pipeline performance to enhance analytics accuracy and cost-efficiency.

• Custom mobile SDK built from scratch to accelerate onboarding for financial institutions.
• Web SDK enabling client customization of campaign appearance and branding.
• Portfolio management tools for financial institutions to oversee campaigns and merchant activities.
• Campaign and merchant management modules to replace legacy systems with integrated solutions.
• Reusable branding and UI component libraries to ensure UI consistency across applications.
• A flexible, scalable data platform comprising internal frameworks, cloud infrastructure, and microservices.
• High-performance data pipelines for batch and streaming data processing supporting real-time analytics.
• Data synchronization solutions across microservices, including distributed locks and distributed caches.
• APIs and data infrastructure leveraging cloud platforms and big data technologies such as Kafka, Spark, and Delta Lake.

• External financial institution systems for onboarding and campaign management
• Cloud storage solutions (e.g., S3) for data hosting
• Messaging queues and event streaming platforms (e.g., Kafka, SQS)
• Database systems for data analytics and synchronization

• Support for data scales exceeding 170 million customers
• Real-time data processing with minimal latency
• High system availability and fault tolerance
• Security and data privacy compliance
• Performance optimization for data pipelines and databases
• Scalable architecture supporting future growth

The implementation of this scalable purchase intelligence platform is expected to significantly reduce onboarding times from weeks to hours, similarly improving time-to-market for new client integrations. Enhanced data infrastructure will support analytics for over 170 million customers with improved accuracy and cost efficiency. User experience optimizations will lead to higher client engagement and satisfaction, while scalable architecture prepares the platform for future growth and feature expansion.