Converting potential customers and retaining existing customers remains the backbone of any subscription based business. Machine learning models remain the key ingredient for building such predictive models, that can mine through huge amounts of data to generate effective recommendations for retaining customer engagement, thereby leading to conversions and retention. 

Potential Applications: Customer Conversion, Customer Retention

Social media acts as a mirror to the society and highlights the issues and concerns of the citizens. By monitoring social media platforms, government can stay abreast of issues effecting its citizens. Moreover, monitoring of social media platforms can also help with a timely response to civil unrest, and spreading of false news. 

Potential Applications: Civil Unrest, Fake News, Online Monitoring

Price point optimization uses machine learning models to determine how customers will respond to different prices of a product or services through different channels. It aims to maximize profitability by using market and consumer data to find a balance between value and profit.

Potential Applications: Retail, e-Commerce, Airlines, Hospitality, Insurance

Uses econometrics and machine learning models to determine the risk of default that may arise from a borrower failing to make required payments. Optimal credit risk models allows lending institutes to maximize returns while minimizing risk

Potential Applications: Loan Approvals

Inventory optimization uses machine learning models to determine the right amount of inventory required to meet forecasted demand, and keep logistics and storage costs low, while avoiding stockouts. The aim is to reduce the storage, maintenance, and leftover costs, while ensuring customer satisfaction is not impacted.

Potential Applications: Supply Chain, Logistics, Lean Manufacturing