Credit insurance is a tool offering several integrated services:
- Customer risk prevention: review of customer solvency.
- Monitoring: ongoing assessment of the customer portfolio.
- Debt recovery: amicable or contentious recovery actions in the event of a claim.
- Compensation: in the event of non-payment on a debt guaranteed by the insurer, the insurer compensates the insured based on the amount of the non-payment and the guaranteed portion.
A credit insurance contract, like any insurance contract, includes numerous contractual clauses that must be respected in order to preserve one's right to compensation. It must therefore be managed on a daily basis and its rules must be integrated into the credit management processes.
There are several types of credit insurance and therefore several ways to manage them in
My DSO Manager.
The main objectives are to have always up-to-date information concerning the amounts of guarantees and the contractual clauses of each policy, and to link this information with the situation of each customer account in order to carry out all the actions (declarations to the insurer, supported reminders of customers, adaptation of payment conditions, etc.) in a timely manner.
The interaction with insurers and / or your broker is done directly from
My DSO Manager.
First topic: the origin of the information
The guarantee data,
score, etc. can come from either:
- the existing connector between My DSO Manager and your credit insurer. In this case, the data is automatically updated daily without you having to do anything.
The DCL (Discretionary
Credit Limits) or ND (Non-Named) are not communicated by the insurers' connectors. It is therefore necessary to configure them in the
Admin / Manage risk and to define via
Search & Assign the rules for assigning automatically these guarantees.
- of the import of the customer file in which the guarantee data can be included. In this case, the data source is your company's ERP, accounting software or CRM. This implies that the data is updated in this system.
- of the insurer's system with a manual update in your My DSO Manager platform of the guarantees and developments by editing the customer file or directly in the risk report. This approach is possible but presents risks of error or omission. To avoid this risk, a regular comparison of information between the insurer's system and your data in My DSO Manager is necessary.
The amount of guarantee granted by the insurer (permanent, temporary, top up, etc.) is taken into account in the calculation of the risk and the actual risk.
Step two: enter the characteristics of your credit insurance
1 Fill
your credit insurer name in
My account. This enables to activate all of the features related to credit insurance.
2 Import or insert information related to your credit policy with the available fields:
- Insurer guarantee amount
- Temporary guarantee amount
- Starting date of the temporary guarantee
- Ending date
- Insurer reference
- Guarantee type*
- Insurer rating*
- Guarantees currency*
*
Fields available only by importing the customers data file or with connectors
Then find these values in the « Risk report » tab of each customer account:
The total amount of the guarantee includes the insurer guarantee amount plus the
temporary guarantee if it is valid (compared to the validity dates), and the top up if any.
3 Manage your exposure against your guarantees with
Risk report,
risk agenda, at the customer account level in
credit risk tab, or with the
Alerts with the possibility of creating alerts in the event of the outstanding amount being exceeded compared to the amount covered by the insurer, or in the event of foreclosure or default, for example.
Interact with the credit insurer and/or your credit insurance broker: request for guarantees from the buyer file, claims declarations, request for insistence from the broker. All of these operations can be carried out from your
platform as soon as the connector with your insurer is activated, in order to have all the information and actions in the same place.
assessment criteria, define the most relevant and appropriate collection strategies. With
, intelligent modeling is performed to implement sophisticated and automated strategies, users portfolio management, creation of groups of risky customers as example.