Traditional investment advisory services are often expensive and time-consuming, which disqualifies them from a broad customer base. Robo-advisors solve this gap by automating the investment management and financial planning processes.
This project focuses on developing a Robo-advisory platform that offers customized investment solutions with low human intervention and costs. It will enable banks to offer novel, scalable, and cost-effective investment services, thereby reaching wider retail and millennial investors.
Week 1-2: Requirement Gathering and Planning
Activities: Define features of the platform, algorithms, and user workflows.
Deliverables: Detailed requirements document and project plan.
Week 3-4: Algorithm Design and Data Integration
Activities: Develop AI models for risk assessment and portfolio optimization. Integrate market data sources.
Deliverables: Functional algorithms and data integration modules.
Week 5-6: Platform Development
Activities: Build the front-end interface and back-end processing engines.
Deliverables: Prototype of the Robo-advisory platform.
Week 7-8: Testing and Validation
Activities: Conduct functionality, security, and performance testing.
Deliverables: Test reports and bug-fixing updates.
Week 9-10: User Training and Compliance Review
Activities: Train bank staff on platform operations and ensure regulatory compliance.
Deliverables: Training sessions, compliance certificates, and user guides.
Week 11-12: Deployment and Go-Live
Activities: Deploy the platform and monitor its initial performance.
Deliverables: Fully functional Robo-advisory platform and post-implementation support plan.
