Machine Learning Models
Machine Learning Models
01
ML Model building for Retail, Telecom and Insurance Industry
Predictive Modelling of Sales (Retail) by considering many variables such as item demographics, weather details, time & day of the week, etc. Prediction on Customer Churn (Telecom), Fraudulent transaction detection (Insurance).
02
ML-based Fraud Detection
This model can help identify fraud transactions using machine learning by considering rich features such as time of the day, location, customer category, etc.
03
Predictive Modelling for Loan Default (Auto)
A model that can predict whether a customer is likely to default on a car loan or not. This Predictive model considers rich features such as the applicant’s age, marital status, profession, residential area, etc.
We have strong expertise in building models that detect most fraud transactions rather than just a certain percentage.
04
ML Model building for Cement and Steel Industry
Steel and Cement industry, we can predict if a particular plant is running at its optimal capacity or not. We also build models which predict future demand for Iron ore and Coal based on current inventory levels available with steel plants/ crushers/railways etc.
05
Predictive Modelling for e-commerce companies
They predict the future demand of a particular product and its supply requirement to maintain optimum inventory levels—the possibility of an item being out of stock based on the current projected sales volumes.
We can help you to automate repetitive tasks and cut costs in many ways.
