
AI-powered subscription management platform to track expenses, find unused subscriptions, and reduce subscription costs with smart recommendations.
Overview
The client focuses on building digital solutions for international users navigating essential services in a new country. Their goal is to simplify access to local service providers. It is by making subscription management more transparent, accessible and intelligent. Especially for users unfamiliar with regional systems and pricing structures.






Bringing together data and user-focused design to simplify subscription ecosystems
Uses LLMs and user data to provide tailored subscription suggestions. Those are based on individual usage patterns and preferences within the subscription management platform.
Built specifically for international users. It is to simplify complex local services and make them accessible through intuitive interfaces.
Natural language chat enables users to interact with the subscription management app easily by removing the need for manual comparisons through an AI chatbot for finance.
A single platform to track, manage and analyse all subscriptions with detailed financial insights powered by a subscription analytics platform.
Description: Identifies unnecessary expenses and suggests alternatives. It is to help users reduce recurring costs using an expense tracking tool.
Powered by vector search and microservices architecture by ensuring performance and scalability. Plus, real-time data processing supporting an AI financial assistant.
Automatically tracks all active subscriptions and sends timely alerts for upcoming renewals, helping users avoid missed payments and manage expenses with subscription tracking software.
Identifies inactive or rarely used services to help users find unused subscriptions and make smarter decisions to reduce subscription costs.
We leverage cutting-edge technologies to build scalable, secure, and high-performance applications that grow with your business.
Real outcomes that transformed our client's operations and delivered significant ROI.
RAG-based architecture reduces incorrect outputs and improves recommendation accuracy, helping users reduce subscription costs.
Seamless experience across mobile and web platforms improves usability and engagement, with integrated access to a financial reporting dashboard.
Microservices architecture ensures efficient handling of growing user data and high request volumes.
Users reduce unnecessary recurring expenses through intelligent insights powered by an AI financial assistant.
A proven methodology that ensures quality delivery, on time and on budget.
Analyzed user challenges in the Netherlands market by focusing on migrants and subscription complexity.
Designed a scalable RAG-based AI architecture with microservices for flexibility and performance.
Built automated scraping and processing systems to ensure real-time provider data availability.
Implemented LLM-based conversational AI with vector search and an AI financial assistant. That is for accurate and contextual recommendations.
Developed mobile and web applications. Those are to deliver a unified user experience across the subscription management app platforms.
Continuously tested system performance, AI accuracy and user experience for real-world deployment readiness.