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Brazilian Platform Is Capable of Evaluating Risks and Preventing Default in the Sector
The growing demand for operations in the free electricity market has presented a significant challenge related to credit for new players in the electricity market, especially after a regulatory change that allows energy purchasing companies to choose which energy supplier they wish to buy from. This concern among executives is understandable, as the difficulties in conducting a credit risk analysis can be an obstacle to attracting good customers and a risk of allowing bad payers, who may become defaulters. Distribution companies in this expanding market see great opportunities, but also weigh the risks. DATAHOLICS, an alternative credit scoring platform aimed at helping companies and financial institutions improve their credit operations through advanced technology – has identified an opportunity to offer high-performance credit analysis using artificial intelligence and over 500 sources of open data. The technology is already in use and has scaled the credit operations of large companies and financial institutions.
Socioeconomic and Behavioral Data: A Fairer and Safer Analysis
The credit analysis offered by the company covers various aspects, including the financial health of companies, payment history and capacity, micro-region data, evaluations, and complaints, among hundreds of other relevant indicators. Based on this information, the platform generates a differentiated score for each new potential client that allows energy suppliers a clear view of the risk involved in closing contracts with certain companies/clients.
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According to Daniel Mendes, CEO of DATAHOLICS, the demand for credit analysis from companies in the energy sector has increased significantly due to a change in segment rules, allowing certain types of consumers to choose their own suppliers. This segment of the electricity market is rapidly expanding, generating a growing need for credit risk analysis for these potential clients.
“Through the analyses, we help companies avoid accepting clients who may become defaulters in the future, thus preventing losses. Moreover, we can evaluate a potential client beyond their payment history, considering their potential. Our clients are spared from spending a ‘fortune’ recruiting a team of
data and artificial intelligence specialists, as we use sophisticated and modern tools that make credit analysis reliable and differentiated,” Mendes explains.
The startup has already processed over 700,000 CNPJ numbers on the platform, generating the credit score of companies of different sizes and sectors, which have significantly increased their revenues in a short time. “This can also be a reality for energy companies, gaining predictability and scale,” the CEO guarantees.
In conclusion, Mendes emphasizes that the free energy market is highly competitive, allowing agents to freely negotiate all contractual terms of purchase and sale. In this context, DATAHOLICS will be a strategic partner ready to operate anywhere in the Brazilian territory.
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