Customer 360
As the trends around investment management evolves, there is a strong need of improved decision making which helps customers choosing the right investment product and a better service.
Role
Sr. Product Designer
Client
Synechron
Project
Innovation Lab Accelerator
Platform
Web Application
The problem
As the trends around investment management evolves, there is a strong need of improved decision making which helps customers choosing the right investment product and a better service. There are also many constraints involved potential customers faces e.g. restricted budget, lack of expertise and increasing regulatory restraints. To mitigate all these challenges, Synechron will build a solution using the strong concept called propensity scoring.
Defining the opportunities
About propensity scoring
Propensity Scoring involves getting comprehensive view of client in terms of current and past behavior, in addition to portfolio and external data. Specific algorithms can be developed to provide digital propensity score for product and customer combination. Machine learning (ML) can be directly applied to these multiple disparate data sets to identify the features and combination of features in the underlying data that predict product purchases for each product in the firm’s product catalogue. The end-result is higher conversion rates, lower sales costs, and higher revenue.
Key Features
Customer Portfolio Information
Customer Interactions
Customer Documentation
Customer Recommendations
Customer 360 Dashboard
Product Propensity
Retention and Churn Management
Digital Propensity Scoring
Financial Wellness Scoring
External Events Propensity