- B
- Blockchain
- C
- Customer Churn
- Counterterrorism
- Cybersecurity in the Public Sector
- Credit Card Fraudulent Transactions
- Credit Default Rates
- Conversion Modeling
- Claim Payment Automation Modeling
- Claim Development Modeling
- D
- Drug Delivery Optimization
- Disease Propensity
- Digital Wealth Management
- Direct Marketing
- E
- Estimating Sepsis Risk
- F
- Finding Duplicate Customer Records in Your Database
- Fraud detection
- Finding New Oil and Gas Sources
- Fraudulent Claim Modeling
- G
- Google AdWords Bidding
- H
- Hospital Readmission Risk
- I
- Inventory Forecasting
- Insider Threat in Public Sector
- Insurance Pricing
- L
- Loyalty Program Usage
- Life Insurance Underwriting
- M
- Multichannel Marketing Attribution
- Modeling ICU Occupancy
- N
- Next Best Offer
- Next Best Action
- P
- Product Personalization
- Q
- Quality Assurance
- S
- Supply Chain Management
- View global site search results

Claim Payment Automation Modeling
Use DataRobot to predict which claims should be auto-paid based on claim characteristics at the time of filing.
Time is money, for your business and for your customers. Use DataRobot to model when autopaying claims is the best option. Shortening the claim cycle drives costs down and customer satisfaction up.
Problem/Pain
Many insurance claims require manual inspection to assess the damage, leading to a long wait for pay out. This can cause claim amounts to spike out of control as well as result in a significant drop in customer satisfaction and potential decrease in retention rates.
Solution
Determine which claims need to be manually inspected using DataRobot to automatically build extremely accurate predictive models. By autopaying claims when manual inspection provides little or no value, you can close claims more quickly–driving costs down and increasing customer satisfaction.
Why DataRobot
Click a button and build the most accurate model to predict whether manual claim inspection will lead to savings.