Expanded growth potential
Advisors rebalance portfolios, offering asset managers a chance to suggest better-performing replacements. A global asset management firm sought a holistic, data-driven approach to fund replacement at scale, aiming to provide quantitative, performance-based recommendations to financial advisors.
Key challenges
Aligning with advisors' client goals
The solution
Framework development
Evaluated fund attractiveness
Scored via extraction
Mapped relevance
Data analysis
Analyzed funds
Scored advisor relevance
Identified replacements
1
Recommendation engine
Built rule-based engine
Integrated real-time strategies
Ranked funds by appeal
2
Advisor integration
Integrated into workflows
Streamlined decision-making
Gathered feedback
3
Optimization
Greater market reach
Updated market data
Expanded market reach
Revenue boost
Unlocked sales
Streamlined fund transitions
Greater audience involvement
Advisor efficiency
Streamlined choice
Data-driven picks
Faster decisions
Market edge
Refined competitive stance
Outperformed rivals
Adjusted portfolio allocations
Expansion
Scale the recommendation engine
Enhancement
Refine models with real-time market data
Optimization
Improve fund scoring for better replacements
