Order to Cash Suite

Credit Management Software

AI-based Credit Risk Management Software to mitigate risk with real-time credit visibility and manage global portfolios through comprehensive workflows.

Reduce bad debt by 20%. Improve credit application approval time by 90%.

Recommended Resources

Credit Datasheet

On-Demand Demo

Credit Management Software Modules

 Online Credit Application

Online Credit Application

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Faster Customer Onboarding. Configurable online credit application to onboard customers. More

 Credit Workflow Management

Credit Workflow Management

Manage Credit Risk Proactively. Prioritized list of customer accounts for analysts to review. More

 Credit Agency Integration

Credit Agency Integration

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Library of Agency Integrations. Out-of-the-box integration to 35+ global credit agencies. More

Financial Statement Data Extraction

Financial Statement Data Extraction

Automate Financial Data Aggregation. Capture data from public or uploaded private financials. More

Credit Review & Decisioning

Credit Review & Decisioning

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Increase Analyst Productivity. Automate credit reviews for low-risk customers. More

 Blocked Order Management

Blocked Order Management

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Proactive Order Management. Predict blocked orders & recommend actions to resolve them. More

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PRODUCT

Key Modules

  • Online Credit Application
  • Credit Workflow Management
  • Credit Agency Integration
  • Financial Statement Data Extraction
  • Credit Review & Decisioning

VALUE

Improve Operational KPIs

  • 70% Faster Customer Onboarding
  • 3x Credit Reviews per day
  • 30% Reduction in Blocked Orders

Deliver Business Outcomes

  • Reduce Bad Debt by 20%
  • Increase Credit Analyst Productivity by 30%

Key Modules

  • Online Credit Application
  • Credit Workflow Management
  • Credit Agency Integration
  • Financial Statement Data Extraction
  • Credit Review & Decisioning

Improve Operational KPIs

  • 70% Faster Customer Onboarding
  • 3x Credit Reviews per day
  • 30% Reduction in Blocked Orders

Deliver Business Outcomes

  • Reduce Bad Debt by 20%
  • Increase Credit Analyst Productivity by 30%

HighRadius Vs. The Competition

Credit Management Software Feature Comparison

HighRadius ERP Vendors(e.g. SAP, Oracle) Niche Players(e.g. FIS, Billtrust) Niche Players(e.g. Esker, Billtrust) Niche Players(e.g. Esker, Billtrust)

Online Credit Application

  • Customizable credit application templates
  • Multi language credit application support

Credit Agency Integration

  • 40+ existing credit agency integrations
  • Real-time credit risk monitoring

Blocked Order Management

  • AI-based blocked order prediction
  • Recommendations for release decisions

Advanced Dunning

  • Bulk correspondences with customizable templates
  • Smart payment links within emails

Disclaimer: Feature comparison is based on each vendor’s most recent and modern version available as of February 1st, 2024. Information is based on data collected from public websites and forums, analyst papers, and product datasheets as of February 1st, 2024.

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400+ Enterprise Customers
Enterprise Customers
600+ Mid-Market Customers
Mid-Market Customers
Mosaic Logo
56% Reduction in Avg Approval Time
Fast tracking the periodic reviews for all customers. Read More
Mercury Logo
Reduced Onboarding Time by 67%
Improving customer experience.
Read More
TechData Logo
120% Efficiency Improvement
Increasing analyst efficiency and reducing bad debt. Read More

HighRadius Credit Cloud Overview

Collections Flow Diagram

Recommended Resources

What are 5 Cs of Credit and How to Use them in 2024? (+Examples)

What are 5 Cs of Credit and How to Use them in 2024? (+Examples)

Understand the five C’s of credit- character, capacity, capital, and collateral and learn their importance in assessing the credit risk of a borrower.

Read the Blog
6 Key Performance Indicators for Accounts Receivable Every Global Credit Risk Manager Should Track

6 Key Performance Indicators for Accounts Receivable Every Global Credit Risk Manager Should Track

Elevate credit risk management globally with these essential six accounts receivable key performance indicators. Track and optimize AR performance effectively.

Read the Blog
Top 6 Mistakes Credit Managers Make When Using Credit Scorecards

Top 6 Mistakes Credit Managers Make When Using Credit Scorecards

Discover the common pitfalls to avoid in credit scorecard management. Learn how to optimize your credit decisions and avoid costly mistakes.

Read the Blog

FAQs: AI-Powered Credit Management Software Solutions

What is a credit management tool?

A credit management tool helps businesses manage their credit policies and processes. It monitors customer credit limits, assesses credit risk, and tracks outstanding balances. Automating credit evaluations reduces manual errors and speeds up decision-making. 

These tools also generate reports and alerts for overdue accounts, helping businesses maintain healthy cash flow. Additionally, they integrate with accounting systems to provide real-time insights into credit status and customer payment behavior. Overall, a credit management tool enhances financial control, reduces the risk of bad debts, and supports efficient credit operations.

What is a good credit management system?

Good credit management software effectively handles a company’s credit-related activities, ensuring smooth operations and financial health. Key features include automating credit risk evaluations and assigning credit limits based on customer financial data. It seamlessly integrates with accounting and ERP systems for real-time data access. 

Automated alerts send reminders for overdue payments and notify users of potential credit issues. The software provides detailed reports and insights into credit status, customer behavior, and trends, allowing businesses to make informed decisions. Additionally, it allows for customizable credit policies based on unique business needs and features a user-friendly interface with intuitive navigation and customer support.

How do you analyze credit risk?

Credit risk analysis software helps analyze credit risk through a series of steps. First, review the borrower’s credit reports and scores to assess payment history and credit utilization. Next, examine financial statements to evaluate financial health, and calculate financial ratios like debt-to-equity and current ratio. 

Additionally, assess industry and market conditions impacting the borrower’s business. Review any collateral offered and consider qualitative factors such as management quality and business model. Use credit risk models and software tools for predictive analysis. Finally, continuously monitor the borrower’s financial status and market conditions to detect early signs of credit deterioration. This comprehensive approach ensures informed credit decisions.

What is CRM in credit management?

In credit management, CRM stands for Customer Relationship Management, a tool or system used to manage a company’s interactions with current and potential customers. CRM in credit management centralizes all customer information, including credit history and transaction records, in one place. 

It facilitates better communication and follow-ups with customers regarding payments and credit terms. The system automates tasks such as sending payment reminders and tracking credit approvals, enhancing efficiency. It also provides insights and reports on customer payment behaviors and credit risk, supporting informed decision-making by integrating with credit risk assessment tools.

What are the three common problems in credit management?

The three most common problems in credit management are late payments, credit risk assessment, and inefficient processes. Late payments affect cash flow and increase bad debt risk. Inaccurate credit risk assessments can extend credit to high-risk customers, causing potential losses.

Implementing robust credit evaluation tools and procedures is crucial for minimizing this risk. Inefficient processes, often due to manual and outdated methods, can lead to errors and delays in managing credit accounts. Automating credit management tasks and integrating systems can enhance accuracy and efficiency, addressing these inefficiencies.

How do I integrate HighRadius Credit Management Software with my ERP?

Yes, the HighRadius Credit Management Software seamlessly integrates with your ERP. It offers out-of-the-box connectivity with major ERPs like SAP, Oracle NetSuite, Microsoft Dynamics, and Sage Intacct. Additionally, it supports API integration for Quickbooks, Sage Intacct, and Microsoft Business Central.

How much time does it take to implement HighRadius Credit Management Software?

The implementation time for HighRadius Credit Management Software varies based on the complexity of your organization’s requirements. However, our Speed to Value methodology guarantees swift implementation and ROI realization within 3 to 6 months, setting an industry benchmark.

How much IT involvement is needed to maintain HighRadius Credit Management Software?

The Credit Management Software requires minimal IT involvement. With seamless plug-and-play integration into ERPs using real-time APIs and Hex (SFTP) connectors, along with pre-built modules and industry-specific best practices, customers can deploy it remotely with ease, reducing heavy IT dependencies.

Why consider AI-powered automation software for Credit Management?

AI-powered automation software for Credit Management enhances efficiency and decision-making by leveraging advanced algorithms. HighRadius Credit Management uses AI to predict potential blocked orders and recommends actions based on customer behavior, reducing disruptions and improving cash flow. AI is also used to intelligently capture data from financial statements. This streamlines the credit management processes, reduces bad debt & enhances overall productivity.

Does HighRadius provide real-time risk alerts related to bankruptcies & mergers?

Yes, HighRadius integrates with the Credit agency of your choice to bring Real-time Risk Alerts into the Credit Analyst’s worklist. When an alert is detected, it triggers credit review workflows, ensuring timely responses to potential risks.

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