Model Accelerators.

Ramp up quickly for your next data science project. Each Model Accelerator gives context of the business challenge, guides target variable identification, and recommends data sources for high-value features for a specific use case.

Prioritize sales activity by predicting which new leads are most likely to close.

Next best action

Determine what action to take with a customer to improve satisfaction and increase revenue.

Propensity to buy

Increase conversions by identifing new users ready to buy and customers ready to upgrade.

Sales forecasting

Forecast sales based on marketing and sales activity, product plans, and market factors.

Customer segmentation

Segment customers to customize sales, marketing, and product by customer attributes.

Marketing attribution

Determine which marketing campaigns drive a customer to purchase.

Marketing optimization

Maximize marketing ROI by determining the marketing programs driving revenue.

Pricing optimization

Optimize prices and predict sales volume based on demand, competition, and market factors.

Customer churn analysis

Reduce churn by predicting which customers are likely to churn and why.

Digital demand forecasting

Predict future demand for services, such as sessions or downloads.

Recommendation engine

Leverage historical customer purchase and product usage to recommend new products.

Physical demand forecasting

Optimize inventory management by predicting future demand of physical goods.

Supply chain optimization

Optimize levels throughout supply chain to maximize profits and minimize stockout events.

Ecommerce fraud

Prevent fraudulent online transactions while maintaining good customer experience.

Fixed resource allocation

Assign physical resources by prioritizing competing requests in order to maximize revenue.

New account fraud

Identify and prevent fraudulent acounts from being created before they cause damage.

Predictive maintenance

Reduce machine downtime by predicting failures and scheduling preventative maintenance.

Employee attrition

Reduce employee attrition by identifying which employees are most likley to leave.

Variable labor optimization

Establish part time staffing plans that serve customers while minimizing cost.

Knowledge management

Improve employee search results and recommend content to improve productivity.

Customer profitability

Find the total cost to serve an individual customer to optimize profitability.

Customer lifetime value

Estimate a customer's lifetime value to segment and prioritize high value customers.

Customer satisfaction

Estimate customer satisfaction levels based on customer activity and sparse survey data.

Support ticket classification

Classify support requests to streamline responses and improve customer satisfaction.