How to use credit engine in retail store chains

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Do you already use the Credit Engine to qualify your sales? Have you already evaluated and/or established the best Credit Policies to do more effective business?

For those who manage a larger chain of stores, with 10 or teacher database more stores, adopting the use of the Credit Engine can make a big difference in sales results. This can significantly increase the profitability of the business. This is because it allows you to work in a much safer and more assertive way throughout the entire automated credit granting part.

However, for this tool to work properly and provide all the benefits we desire, it is very important to properly implement Credit Policies. And when I talk about these policies, I am referring to a very specific and well-evaluated organization, carried out horizontally, but also vertically.

By understanding how to do this, retailers can work in a safer, more planned manner, and in different locations with different levels of risk . All this while helping to stabilize default rates in the various units of a chain, whether medium or large.

Are you interested in how to do this effectively? Follow me here because in this article I will explain all the details you need to know to correctly apply the Credit Engine in your store network. Let's go!

To begin to better understand this topic that I brought here, you can watch the video I prepared or continue reading.
YouTube video
What is a credit engine?
The Credit Engine is a resource that helps with decision-making in sales, which can be of different levels of complexity. In fact, it is a real boost for the entire operation. This is because this tool uses all its analytical potential to deliver different decisions according to the profile of each of your customers , doing so based on an evaluation of a series of data that your company has, both from the customers themselves and from the market in general.

This system appears throughout the automated credit granting operation and is, therefore, the technology that analyzes the customer's risk and determines what the safe limits are for approving a sale on credit. In other words, ensuring security is the main objective.

We can say that the Credit Engine is made up of different parts. One of them is what we call the Credit Score, a model created to analyze your entire store network . In fact, the Credit Score is nothing more than a statistical base created from various information from thousands of sales that have occurred. With this data, a statistical analysis is performed to identify the behavior profile of these sales.

Furthermore, depending on the system where the engine is installed, the analysis data is displayed in a simple credit score model that classifies the customer into different risk profiles. There is then a scoring, which is a score.