Use cases

Demand forecasting is the process of predicting future customer demand for a product or service based on historical data, market trends, and other relevant factors.

Predictive maintenance is a proactive approach to maintenance that uses data science and AI algorithms to predict equipment failures before they occur.

Propensity scoring can be used to determine the likelihood of a customer buying, up-selling or churning.

Lead scoring is a methodology used by sales and marketing to rank and prioritize potential customers (leads) based on their likelihood of converting into paying customers.

Churn prediction is a process of identifying and predicting the likelihood of customers or subscribers discontinuing their relationship with a business.