Zpay Fintech | TRESCOL

Zpay Fintech


With Zpay, TRESCOL revolutionized the way payments are made.



Fintech was first applied to the innovation used at the back-end frameworks of building up monetary organizations when it emerged in the twenty-first century. From that point forward, however, there has been a shift toward more customer-centered administrations, as well as a more customer-centered definition. Fintech now encompasses a wide range of fields and businesses, including training, retail banking, pledge-gathering and charity, and speculating on the board, to name a few.

TRESCOL wanted to achieve the same thing, but in a more developed way, by providing more and a truly unique offering to the market, making instalment processes more useful than at any other time for customers.

TRESCOL needed to better and computerize the delivery and use of financial services through AI innovation and advancements. TRESCOL's main purpose was to help businesses, entrepreneurs, and consumers better manage their financial duties, cycles, and lifestyles through the use of specific programming and calculations on PCs and, eventually, cell phones.


Security has improved

TRESCOL was able to achieve its objectives after incorporating AI with fintech, resulting in industry innovation. Banks, for example, provide apps that require facial or fingerprint recognition to access. Artificial Intelligence plays a significant role in making this happen.


Customer service has progressed

Chatbots in FinTech AI-powered chatbots reduce call center workload by addressing the most common and common user issues.

Examining the client's behavior

TRESCOL's artificial intelligence in FinTech predicts a client's behavior using AI APIs, which can also be used to the benefit of banks and FinTech companies. Assume, for example, that the client has lately requested information on their costs - a single request. You anticipate their forthcoming request (e.g., pay in the previous month) on the server side with the help of AI, and deliver this data in a similar reaction. As a result, you can adjust the number of requests and the heap on your framework as needed. If the precognitive evaluation is appropriate, the client benefits since the framework functions faster.


Fraud prevention

Artificial intelligence in FinTech accepts behavior agreements and can cause financial turmoil. The AI can analyses how clients collaborate with their exchanges and determine their standard behavior. Let's say a client tries to withdraw $7,000 from their account several times in a row outside their shared area. This action will be identified as possible extortion by artificial intelligence-controlled AI, and it will be squared.