RITMO has developed a platform that allows predicting future revenues for this type of company based on an artificial intelligence system and a predictive data model.
The aim is to understand their sales history that is related to their investments in digital marketing and thereby be able to make a forecast based on their algorithms. To do this, the main data is extracted from digital marketing and payment platforms such as Google, Facebook, Stripe, and Open Banking. Banking data (balance, income and expense movements), sales and turnover analysis (volume, inventory turnover, payment history, margins), and key accounting figures (balance sheet, profit and loss account and cash flow analysis).
With this data, the RITMO model is able to take a dynamic x-ray of revenues, predicting with a high degree of certainty the future turnover and efficiency of digital marketing campaigns in relation to sales and their return structure.
The transparency and wealth of data that digital companies have both on the side of their main source of expenditure (digital marketing platforms) and on the side of their income (payment platforms such as Stripe) mean that financial and efficiency analysis through Artificial Intelligence predictive systems such as RITMO’s provide rigour, management control and confidence on both sides, thereby providing a quick and valuable solution. With this, the maximum financing and form of repayment are determined within 24 hours.
This form of analysis - almost in real time - means that in the future, if the company's turnover increases, it will be eligible for a greater volume of financing.