Utilities face significant financial risk from customer payment delinquency, with companies managing millions of customer accounts and billions in revenue. Traditional collection processes are reactive, waiting until payments are already late before taking action. This leads to higher bad debt write-offs and increased collection costs.
- Historical payment patterns
- Credit scores and creditworthiness data.
- Customer demographics
- External economic indicators
- Internal billing system data (SAP ISU/CCS)
Our machine learning models assess each customer’s likelihood of missing payments, allowing utilities to take targeted preventive action with high-risk accounts.
Key Features
- Real-time risk scoring of customers’ accounts.
- Integration with SAP ISU and utility billing systems.
- Automated alerts for high-risk accounts.
- Customizable risk thresholds and scoring criteria.
- Secure handling of sensitive customer data.
- Detailed analytics dashboard for collections teams .
- Early identification of at-risk accounts
- Proactive outreach to prevent defaults
- Lower write-off rates
- Prioritized worklists based on risk levels.
- More efficient allocation of collection resources
- Reduced cost per collection
- Early intervention enables flexible payment arrangements.
- Prevents escalation to more severe collection actions.
- Maintains positive customer relationships.
- Faster collection of outstanding balances
- Better prediction of cash flow impacts
- Reduced days sales outstanding (DSO)
- 25-30% reduction in bad debt write-offs
- 15-20% improvement in collections efficiency
- 2-3x ROI within first year of deployment
- Purpose-built for utility billing and collections workflows
- Seamless integration with existing systems
- Enterprise-grade security and scalability
- Continuous model improvement through machine learning
- Rapid deployment and time to value
We are always here to support you with expert guidance and answers to your queries as you navigate the world of AI solutions with Nuroblox™!
info@nuroblox.com
