Sales enhancement through ML scoring on MYSQL
For India’s largest funds distributor
CLIENT & PROBLEM STATEMENT
- India’s largest funds distributor seeks sales enhancement through machine learning.
- Need to leverage on-premise MySQL data for predictive sales analytics.
APPROACH
- Accessed client’s on-premise MySQL database to extract historical sales and client data.
- Designed a robust Machine Learning (ML) pipeline for batch processing of data.
- Trained ML models (e.g., Random Forest, XGBoost) to predict client propensity to buy and optimal fund recommendations.
- Scheduled batch processes for regular model retraining and scoring to adapt to market changes.
SOLUTION & OUTPUT
- Batch ML process generates personalised fund recommendations and identifies high-potential clients.
- Sales teams equipped with ML insights, leading to targeted strategies and increased fund distribution.
- Handled 3 million + customer data and billions of rows to create data views for running machine learning models.
