Solutions

Most businesses are not living up to their analytical potential. We can help you reach a higher altitude of success by putting your data to its best use.
CASE STUDIES

Customer Segmentation

To better understand customers and design personalized marketing campaigns to boost sales

Features

1
Group customers using advanced machine learning models based on different attributes (basket size, total orders, total revenue, products bought, recency, frequency) to understand customer buying behavior
2
Design and execute marketing campaigns tailored to each segment​
3
Predict customer behavior to increase sales

Business Outcomes

2X increase in sales
3Xmore ROI on marketing spend
83%increase in conversion rate
90%customer satisfaction

Credit Underwriting and Risk Assessment

Borrowers default because of incorrect risk assessment due to static, rule-based score card, resulting in increased default rate

Features

1
Machine learning model trained on historic data entailing customer profile (number of dependents, age, gender etc), financial history (number Of credit cards, mortgage, number of active loans) and external data like social media feeds (check-ins, interests from page likes etc).
2
Explainable ML models to understand each prediction with respect to variable significance

Business Outcomes

Decreased default and delinquency leading to fewer losses for the lenders
Increased profitability on loan products
Flexibility to use money on other, more profitable projects (i.e. bank might lend to fewer people resulting in extra cash that can be invested in other project with higher ROI)

Marketing Spend Optimizer

Loss of marketing spend (zero to negative ROI) due to ineffective campaigns

Features

1
Marketing spend optimizer to understand the impact of each campaign on sales
2
Tweak marketing campaigns and campaign objectives which give the best results

Business Outcomes

2X increase in ROI of marketing spend
83%increase in conversion rate
2Xincrease in online and instore revenue