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.
fraud
review
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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.
How to protect against return fraud without impacting the customer experience?
Return fraud is a growing phenomenon.
According to the American National Retail Federation (NRF), it cost e-retailers around the world more than $25 billion in 2020 alone. It is estimated that, of the 10% of return requests, 6% are returns. fraudulent claims. Retailers are determined to make the fight against returns fraud a priority. Looking for reliable solutions that can be quickly implemented in their systems, they nevertheless want the user experience to remain fluid and pleasant for their customers. Philippe Gomes, head of partnerships and international, explains to us how the new Meelo functionality perfectly meets their expectations.
Financo – Meelo: a shared vision of responsible financing for all
Financo, a subsidiary of the Crédit Mutuel Arkéa group, is a financial company specializing in consumer credit. A key player in financing in the automobile, motorcycle, leisure vehicle, housing and home equipment markets, Financo puts its expertise at the service of individuals and small businesses. Sharing common values of sustainable and responsible growth, Financo has chosen Meelo as a partner in the fight against fraud and the risk of non-payments for its split payment service.
Jean-Yves Kaiser, risk director at Financo, details the challenges of his collaboration with Meelo.
Meelo fights against fraud in the automotive sector
“The solvency of buyers and the authenticity of supporting documents are key elements in automobile financing files. Maxence Pruvost, Head of Sales at Meelo, explains to us how our solution helps prevent fraud while considerably reducing file processing time. »
