Credit recovery with ai: how and why to start using it?

[muskanhossain]

In recent years, technology has played a key role in transforming several sectors, and credit recovery is no exception . With the rise of artificial intelligence, several companies have improved and reformulated processes to make their collection systems increasingly efficient – ​​an evolution that is reflected in the national economy.

According to technology and data analysis specialist Jump , Brazil is expected to reach R$10 billion in investments in AI in 2024 , representing a growth of 47% compared to 2023. In this scenario, integrating artificial intelligence into one's own operations is much more than following market trends, and becomes an essential resource to differentiate oneself from the competition .

With this transition process in mind, Disparo Pro will introduce 5 simple tools that, in addition to boosting your business with AI, can be used to facilitate your company's credit recovery routine . Learn more:

1. Chatbots and virtual assistants
Often used to automate billing systems, chatbots and virtual assistants interact with customers quickly and efficiently, offering support during the payment process.

2. Natural Language Processing
Used by credit recovery companies to understand rcs data middle east interpret customer messages, natural language processing facilitates and speeds up communication between the company and the user, in addition to improving the experience of the target audience.

3. Customer segmentation
Often overlooked, this artificial intelligence function can be one of the most efficient in the credit recovery process! Segmenting customers based on criteria such as payment behavior and credit history enables the personalization of collection strategies, making the allocation of resources much more effective.

4. Data analysis
As well as customer segmentation, data analysis is essential for an effective collection system. With the help of AI, the analysis of large volumes of data becomes faster and more accurate, enabling the identification of patterns and trends that can significantly optimize the collection process.

5. Creating messages
Finally, artificial intelligence can be used to develop ready-to-send messages. In addition to being personalized, these messages can be sent at strategic times, encouraging customers to regularize their financial situations.