Credit Intelligence
What you’ll get out of this
- Smart credit limits that prevent bad debt while maximizing sales opportunities
- Risk assessment that identifies potential problems before they become losses
- Payment behavior analysis that improves collection strategies
- Automated credit decisions that speed up approvals for good customers

How Credit Intelligence Works
Credit Intelligence analyzes customer payment patterns, business behavior, and risk indicators to suggest optimal credit limits and payment terms that maximize sales while minimizing bad debt.1
Analyze Payment History
AI examines customer payment patterns, timing, and consistency
2
Assess Risk Factors
Identifies business stability indicators and potential red flags
3
Generate Credit Recommendations
Suggests credit limits, payment terms, and risk mitigation strategies
4
Monitor and Adjust
Continuously monitors performance and adjusts recommendations
Key Features
Smart Credit Limits
- New Customer Assessment
- Established Customer Optimization
- Risk Management
Conservative approach for unknowns:
- Business entity analysis (LLC, Corp, etc.)
- Contact information validation
- Industry risk assessment
- Reference checking recommendations
- Suggested starting limits: $500-1,500
Payment Behavior Analysis
Risk Assessment Matrix
Low Risk (Green)
- Consistent payment history
- Regular order patterns
- Reliable payment methods
- Good communication
Medium Risk (Yellow)
- Occasional late payments
- Irregular order patterns
- Mixed payment methods
- Delayed responses
High Risk (Red)
- Frequent late payments
- Declining order frequency
- Cash-only payments
- Poor communication
Critical Risk (Black)
- Multiple missed payments
- No recent orders
- Unresponsive to contact
- External risk indicators
Real-World Examples
Scenario 1: New Business Credit
Situation: New customer “Startup Solutions LLC” requests 1,000 limit, Net 15 terms, require deposit Result: Customer accepted terms, paid on time, limit increased to $2,500 after 3 monthsScenario 2: Established Customer Increase
Situation: “Reliable Corp” requests credit limit increase from 5,000 AI Analysis: 2-year history, 98% on-time payments, increasing order sizes Recommendation: Approve increase to $4,500, maintain Net 30 terms Result: Customer satisfied, continued growth, no payment issuesScenario 3: Risk Management
Situation: “Problem Customer Inc” showing concerning patterns AI Analysis: 3 late payments in 6 months, declining order sizes, delayed responses Recommendation: Reduce limit from 1,000, require payment on delivery Result: Customer improved payment behavior, avoided potential bad debtImplementation Guide
Setting Up Credit Intelligence
1
Enable Credit Intelligence
Go to Settings → AI Intelligence → Credit Intelligence
2
Configure Risk Tolerance
Set your comfort level with different risk categories
3
Define Credit Policies
Establish base limits, terms, and approval workflows
4
Import Historical Data
Upload existing customer payment history for better analysis
5
Start with New Customers
Begin using AI suggestions for new credit applications
Credit Decision Workflow
- Automated Approval
- Human Review
- Manual Review
Low-risk customers:
- AI confidence > 85%
- Meets all criteria
- No red flags
- Automatic approval with suggested terms
Advanced Features
Payment Term Optimization
Pro Feature - Advanced payment term optimization requires Pro plan for full access.
- Customer-specific terms based on payment history
- Seasonal adjustments for business cycles
- Volume-based discounts for large orders
- Early payment incentives for cash flow
Collection Intelligence
- Optimal contact timing for payment reminders
- Communication channel preferences (email, phone, text)
- Escalation strategies for overdue accounts
- Payment plan recommendations for struggling customers
External Risk Monitoring
- Business credit score integration (where available)
- Industry risk assessment based on economic indicators
- Geographic risk factors for location-based businesses
- Seasonal risk adjustments for cyclical industries
Privacy and Compliance
- Encrypted processing of sensitive financial data
- No external sharing of credit information
- Compliance with financial privacy laws
- Audit trails for all credit decisions
- Data retention policies for credit information
ROI and Results
Typical Improvements
- 40% reduction in bad debt write-offs
- 25% faster credit approval process
- 15% increase in approved credit applications
- 50% reduction in collection time
Success Metrics
Bad Debt Reduction
Track write-offs and collection rates over time
Approval Speed
Measure time from application to decision
Customer Satisfaction
Monitor customer feedback on credit process
Sales Impact
Track revenue from credit-enabled sales
Best Practices
Credit Policy Development
1
Define Risk Categories
Establish clear criteria for low, medium, and high-risk customers
2
Set Approval Limits
Define who can approve different credit amounts
3
Create Escalation Procedures
Define when to involve management or legal
4
Document Everything
Keep detailed records of all credit decisions and reasoning
Customer Communication
- Credit Approvals
- Credit Denials
- Limit Changes
- Explain credit terms clearly
- Highlight benefits of good payment history
- Provide payment reminders and due dates
- Offer payment method options
Troubleshooting
Common Issues
AI being too conservative with credit limits
AI being too conservative with credit limits
Solution: Adjust risk tolerance settings. AI learns from your decisions, so approve some higher-risk applications to help it calibrate.
Customers complaining about credit decisions
Customers complaining about credit decisions
Solution: Provide clear explanations and appeal processes. Use AI insights to justify decisions with data.
Too many false positives in risk assessment
Too many false positives in risk assessment
Solution: Review and adjust risk factors. Provide feedback on incorrect assessments to improve AI accuracy.
Credit approval process too slow
Credit approval process too slow
Solution: Automate low-risk approvals and streamline review process for medium-risk applications.
Credit Intelligence: Extend credit safely while maximizing sales opportunities.