Credit Management
The Credit Management module can be set up to manage credit on a per transaction basis, by groups of transactions, as credit-lines, or through a combination of the aforementioned. The module directly links to all major credit bureaus and D&B and automatically procures and stores credit data; information regarding customer-performance can also be relayed back to credit bureaus. Based on any combination of credit data required, analysis and pricing decisions can be automated by the system to guide and control approval and pricing decisions.
The module can handle a wide range of automation from no-touch processes where the only intervention is the input of an online application to more subjective “sniff test” processes where application-specific information (such as credit enhancement documents and the review of lessee financials) might be required. Over time, with the accumulation of critical credit data and customer-performance data, stratified by industry segment, type of credit, common customer characteristics, etc., the Credit Management functionality mines data to support the pricing and approval process.
Configure credit approvals on a transaction basis or on a credit line basis
Approve credit for a single stand alone transaction
Group transactions together and approve credit parameters for each group
Approve multiple credit lines for each customer, drawn down by each transaction
Set credit parameters by different variables
Overall dollar limits
Dollar limits by asset classification (hard assets vs. soft assets)
Dollar limits by asset type (types are user-defined)
Configuration or specific mix of types of assets, including roll-over assets
Notify designated users when parameters are neared and/or exceeded
Automatically download credit reports from desired credit bureaus (any standard bureau)
Upload customer performance data back to credit bureaus
Ensure that the same customer’s report is not pulled repeatedly for different transactions
Use credit bureau driven scoring
Build proprietary scoring methodologies
Define business rules and formulas for determining internal credit score
Use a hybrid of credit bureau scores and internal methodologies
Ascertain total credit exposure on customer across relationships
Customer may be a co-lessee
In sale-leaseback transactions, customer may also be classified as vendor
Customer may be a guarantor
Continuously build customer data from credit reports and customer performance data
Stratify data by various criteria for analysis
Identify relationships and correlations between certain variables
Fine-tune credit and pricing decisions on an ongoing data based on data analysis