BuyPower

Project Overview

BuyPower is a PropTech company dedicated to making real estate more accessible and affordable by leveraging digital innovation. The traditional property purchasing process often suffers from limited transparency, fragmented commission structures, and missed opportunities for collective buying. Buyers are rarely able to benefit from group-based deals or optimized cashback incentives. BuyPower sought a scalable, intelligent platform that could manage these complexities while delivering personalized property recommendations to each user in real-time. CliqPack partnered with BuyPower to design and implement a next-generation solution that combined AI-driven insights with a secure, cross-platform application.

Key Metrics

• AI-powered recommendation accuracy: >90% match with buyer preferences
• Cross-platform app performance: consistent across iOS and Android
• Cashback benefits: up to 85% of commission passed to buyers
• Reduction in transaction processing time: 50% faster than manual workflows
• User engagement increase: 3x higher due to cohort-based incentives

Project Scope

• The scope of the project included:
• Building a cross-platform mobile application using Flutter to ensure uniform user experience across devices
• Developing a robust backend using Django to handle secure transactions, real-time calculations, and data-intensive AI operations
• Implementing an AI recommendation engine to provide personalized property suggestions based on user behavior, preferences, and cohort activity
• Designing flexible cashback rules and multi-tier commission structures to accommodate complex real estate deals
• Integrating real-time reporting dashboards for administrators to track purchases, incentives, and engagement metrics
• Ensuring platform scalability for future expansion into additional property markets

 

Project Workflow

The development workflow began with detailed requirement gathering and analysis of BuyPower’s existing processes, particularly focusing on property group-buying mechanics, commission management, and cashback rules. The team defined flexible incentive algorithms and commission models, which were then translated into backend logic.

 

AI models were trained on historical and synthetic data to learn buyer preferences, transaction patterns, and group behaviors. The mobile application was designed with intuitive UI/UX flows to simplify navigation and enhance engagement, while the backend was structured to support secure payment gateways, cohort-based reward calculations, and real-time data updates. Continuous integration and testing ensured reliability across both iOS and Android platforms.

Project Challenges

1. BuyPower faced several technical and operational challenges:
2. Complex commission and cashback structures that varied by property and buyer cohort, requiring dynamic rule engines
3. Integration of AI recommendation models with live transaction processing in a way that did not affect app performance
4. Ensuring secure and accurate real-time calculations for cashback rewards across multiple simultaneous transactions
5. Designing a cross-platform mobile solution that could maintain performance and UX consistency while handling intensive backend operations
6. Providing scalability to accommodate rapid growth in user numbers and property listings without compromising system stability

Results

The platform successfully unified BuyPower’s core business processes into a seamless digital solution. AI-driven recommendations enabled buyers to discover properties suited to their preferences and budgets, while cohort-based incentives encouraged collaborative purchasing behavior. Real-time cashback calculations provided transparency and maximized affordability, allowing users to claim up to 85% of commission-based incentives. The cross-platform mobile application enhanced user engagement and retention, while backend infrastructure supported scalable operations and secure data handling.

Final Output

BuyPower now operates a fully scalable, AI-powered PropTech platform capable of handling complex real estate transactions efficiently. The solution integrates personalized property recommendations, cohort-based group buying, and dynamic cashback rewards into a single, intuitive mobile application. Real-time dashboards enable administrators to monitor transactions, incentives, and engagement, ensuring data-driven decision-making. By combining AI intelligence with secure, high-performance backend services and a cross-platform frontend, CliqPack delivered a robust digital ecosystem that transformed BuyPower’s mission of making real estate more accessible and affordable into a fully functional reality.

According to BuyPower’s Product Head, “CliqPack’s innovative AI and mobile solution transformed our vision of making real estate affordable through group buying and cashback incentives into reality.