Solvency analysis:
No more risks of non-payment!
Natural and legal persons
Categorization and aggregation of data via open banking to define a prediction score
Move forward with your confidence with your customers. Our solution makes it easier for you to make decisions for both natural and legal persons.
Reduce the risk of fraud by 4 thanks to plug and play
Verify the identity of a company, an applicant and its creditworthiness
to obtain a delinquency prediction score
to analyse the creditworthiness of a profile
Profiling and scoring for your growth
Get an automated award decision in less than 5 seconds
Solvency analysis
Secure your sales so that you can concentrate on your core business, with complete peace of mind
Meelo takes care of collecting all the elements necessary to analyse the creditworthiness of individuals or companies.
Thanks to open banking and the categorization of financial data operated by our machine learning and artificial intelligence models, our approach makes it possible to establish a scoring that goes beyond simple theoretical data.
Our more detailed analysis allows us to anticipate profiles at risk of non-payment… All these elements combined to establish a prediction score in a few seconds and limit the risk of non-payment.
Open Banking
Categorisation
Cutting by NLP
Identification Keywords
Recurrence / time analysis
95% of transactions categorized
Predictive score for non-payment
Tax return
Data & Ratios
95% of transactions categorized
Predictive score for non-payment
Solvency analysis
An approach that goes beyond theoretical scoring
The fight against the risk of non-payment tends to exclude atypical profiles, which are wrongly considered less reassuring. This is true even if they pay their bills.
This approach can penalise you by causing a real loss of business. The Meelo approach is to identify the good payers. Because it's all about balance.
It is essential to make commitments responsible in order to fight against over-indebtedness without closing access to young people, to workers who are not on permanent contracts.
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Everything you need to know about solvency analysis
to combat the risk of non-payment
Open banking is characterised by the sharing of data collected by banking institutions on their customers with other companies.
This concept makes it possible to recover, with the customer's consent , 4 months of banking transactions.
This data is essential to enable credit or loan applications to be examined and to combat the risk of default.
Meelo via the aggregators retrieves this data to establish a prediction score.
Our credit analysis solution is aimed at both individual and legal entities(companies).
In just a few seconds, you can get a prediction score based on
Meelo is able to analyse risky profiles via a dedicated solution for analysing the creditworthiness of customer.
How ?
By checking the customer's profile, which is assigned a reliability score based on more than 500 data items. The algorithm is thus able to collect and analyse the information that customers leave available to everyone on the Web to study its consistency with what is declared. In this case, the banking data of a bank in an open banking approach.
This solution is the result of the combination of artificial intelligence and open banking.
PSD2 is a directive that has led to the widespread adoption of Open Banking.
This has led the creation of two new regulated payment services:
- account information services (“ SIC ”): the customer gives a trusted third party access to information about his payment accounts held with account management payment service providers
- payment initiation services ( SIP ): Customers make payments to third parties directly through a TC.
Firms that offering SICs and SIPs must be regulated or registered with their local financial regulator and must comply with certain obligations when providing these services.
Meelo offers you a solution that makes it easier for you to make credit decisions. Our solution is the most advanced on the market in terms of credit risk management.
Indeed, our scoring takes the approach of categorising the data although this is not mandatory for decision making.
It would be simplistic to rely solely on financial data such as account balance or the number of days overdrawn each month.
Our analysis goes further and is based on human behaviour, as financial data do not take into account savings-type behaviour.
And this is where categorisation comes in. It brings a finesse to the analysis that financial data alone cannot do.
Categorisation gives meaning to financial flows. Our credit risk prediction score allows for finer profiling.
Our credit analysis solution is also for companies ! In just a few seconds, you can decide whether or not to trust the company.
Meelo takes care in a few seconds of collecting all the elements necessary to identify a company (Kbis, tax package), of verifying the identity of the applicant and his capacity to commit the company then of analyzing the solvency thanks to intelligent data aggregation (financial ratios, current procedures and potential reactivations).
This solution concerns all types of companies, including micro-enterprises.
In this case, we use Open Banking and a B2B score to analyse the creditworthiness of this company.
End of the winter break: what challenges for energy suppliers?
Each year, April 1 rings the end of the winter break, during which electricity and gas cuts are suspended. This is a delicate transition phase for energy market players. If the established truce protects the most vulnerable homes, the accumulation of unpaid arrangements can tension the relationship between energeticians and their customers. Between delicate recovery procedures and evaluation of the solvency of new customers, the challenges faced by energy suppliers are numerous. Find out how the Meelo solution accompanies them effectively to deal with them.
Fight against unpaid energy in the Meelo score
Energy suppliers operate in a regulated environment which forces them to provide energy supply to all households, including those in energy precariousness. This legal framework, although necessary, limits their capacities to manage the risks linked to unpaid. Aggraged by the periods of winter break which prevents any breach of contract between November 1 and March 31, this situation makes the proactive identification of customers at risk. The Meelo energy score is the perfect response to the challenges of energy. By optimizing financial risks, it helps to strengthen their economic stability while promoting a preventive and fair approach to consumers.
Our client, consultant specializing in the energy sector, agreed to return to the successful implementation of the Meelo solution in one of the major energy players in France.
Catboost, Meelo's secret boot
Innovation has always been at the heart of the Meelo reactor. Our teams constantly postpone the limits of artificial intelligence and machine learning to offer ever more reliable and efficient fraud solutions. The integration of the catboost into our algorithms arsenal is perfect proof. This boosting model, among the most advanced on the market, allows us to provide fraud of unrivaled precision. Discover exclusively all the advantages of our secret boot.
