Retail company
Our Client is a Californian retail company operating in the Fashion segment
Our Client’s need was to find the necessary software that allows, based on machine learning models, to assess the solvency and financial stability of companies, followed by assigning a credit score used in the comparison and selection of companies for subsequent interaction
The software allows, based on data from open sources, to conduct a comprehensive evaluation of the financial condition of the company in order to assess creditworthiness. The assessment is based on the company’s balance sheet and income statement, historical amounts of tax payments, information on current and past lawsuits in which the company participated, as well as the company’s portfolio of government contracts
Project Target
The software is submitted on a subscription basis, which provides flexibility for the Client in making decisions about the use of the product. The software matches the Client’s expectations and the following needs have been met:
- Comprehensive assessment of the company's financial condition
- Assigning a credit score to the analyzed company
- Grouping of companies into homogeneous groups depending on their credit quality
- Compatibility of the product with the company's software for importing the necessary data
The final results of interaction with the Client were the use of our product to assess the credit quality of companies, the formation of arrays of data on companies for use by internal software systems and the improvement of operational and financial data by saving the Client’s resources
Project Details
- Client Name:
- Fashion Retail Company
- Start Date:
- 25/05/2022
- End Date:
- 25/05/2023
- Website:
- Non-disclosed
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