Reduce the Risk of Late Payments
Thursday, April 25, 2024, 10:00 – 10:30 a.m. PDT
Predicting late payments can reduce risk to cash flow through proactive account collections. But few business applications can aggregate data from sources across the organization and generate predictive insights without the need for data scientists or hefty budgets.
Join this product demo webinar to see how NetSuite Analytics Warehouse can generate AI-powered insights in the following ways:
- Centralizes data in a cloud data warehouse: Access current NetSuite data and historical data to train ML models accurately.
- Third-party data integrations add context: Incorporate data from prebuilt connections to 40+ sources, including Salesforce, to improve understanding of customers at risk.
- Statistical data analysis: Apply features like pattern recognition, cluster analysis, trends and outlier detection to reveal top account features most indicative of late payment.
- Predictive analytics without code: Leverage built-in ML models to identify specific customer accounts at high or low risk of late payment, as well as predict the number of days late.