Machine Learning: The Backbone of Intelligent Trade Credit-Based Systems

Faiza Shah,Yumin Liu,Aamir Anwar,Yasir Shah,Roobaea Alroobaea,Syed Sajid Ullah,Saddam Hussain,Chin-Ling Chen

doi:10.1155/2022/7149902

Abstract

Technology has turned into a significant differentiator in the money and traditional recordkeeping systems for the financial industry. To depict two customers as potential investors, it is mandatory to give the complex innovation that they anticipate and urge to purchase. In any case, it is difficult to keep on top of and be a specialist in each of the new advancements that are accessible. By reappropriating IT administrations, monetary administrations firms can acquire prompt admittance to the most recent ability and direction. Financial systems, along with machine learning (ML) algorithms, are vital for critical concerns like secure financial transactions and automated trading. These are the key to the provision of financial decisions for investors and stakeholders for the firms which are working with the trade credit (TC) approach, in Small and Medium Industries (SMEs). Huge and very sensitive data is processed in a limited time. The trade credit is a reason for more financial gains. The impact of TC with predictive machine learning algorithms is the reason why intelligent and safe revenue generation is the main target of the proposed study. That is, the combination of financial data and technology (FinTech) domains is a potential reason for sales growth and ultimately more profit.

Highlights

financial data and technology (FinTech) is an abbreviation or single word for monetary advances and indicates the collective form of digitized money and information technology innovations
Regardless of how much information there is, we could not realistically exaggerate the effect it has on the present economy. ere is enough information at our disposal, anything from our mobile phones to online media use, web browsing, and e-commerce exchanges [3]
Large information and information science have been accustomed to bringing about change in the banking, enormous information applications, and monetary administrations

Summary

Introduction

FinTech is an abbreviation or single word for monetary advances and indicates the collective form of digitized money and information technology innovations. It is utilized especially by banks and financial administrations associations to direct their business tasks more effectively and give better monetary administrations to their clients. It might take the state of programming or an app that empowers organizations to give mechanically complex and contactless administrations to their clients by setting up monetary exchange processes. Large information and information science have been accustomed to bringing about change in the banking, enormous information applications, and monetary administrations

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