Using data, banks can create predictive platforms across channels for solutions using machine learning models, improve past banking systems, improve strict compliance and operational processes, provide financial solutions that meet customer needs, and maintain relationships with existing customers to expand their market share.
It is important to make the right decisions quickly. In a typically one-way manufacturer's process, planning and data can be organically linked to each stage via CLICK AI, enabling rapid and agile development.
CLICK AI can enhance operational efficiency and profitability across sales, marketing, and customer services by leveraging deep learning in real-time to segment customers and easily integrate/analyze customer data to correlate among its members. CLICK AI's CRM can provide real-time AI generation forecasts and scores with insights from the integration of internal and external datasets.
Lenders can use CLICK AI to identify applicants with a high risk of default and applicants with credit values but without extensive credit history to reduce exposure to credit risk and loss. CLICK AI simplifies credit approval while accurately assessing risk.
Risk management is an important part of financial company management as it deals with financial products. CLICK AI enables risk managers to prevent loss and analysis based on learned data from customers and products without spending time managing risk. It can also save time and money for financial services companies, provide fast and accurate risk assessments, and consider the nature and capabilities of customers
Using the deep learning of CLICK AI to analyze existing customer data, view recommendations for future actions based on customer status, financial performance, and results, analyze and consult better financial status and behavior, and write customized advice based on data. It can also introduce products such as credit cards and installment savings that are suitable for customers.
CLICK AI identifies the optimal liquidity position in real-time to meet payment and payment obligations and regulatory requirements. With CLICK AI capabilities, optimization technologies measure short-term liquidity in a day using real-time data for agile liquidity management.
Priority securities look for find requests with expected availability, fulfillment, and potential profitability. CLICK AI allows you to predict the possibility of a payback event for any combination of secure lenders.
Money laundering poses a serious threat to the financial services sector. CLICK AI can identify suspicious transactions and irregular trading networks by detecting and preventing illegal money laundering to prevent it. AI can detect suspicious transactions and efficiently build fraud and money laundering models, as well as improve employee and business productivity.
From a cost perspective, keeping customers is more important than getting new customers. CLICK AI analyzes customer attributes, behavior, and external factors to help predict the most likely customers to leave and prevent customers from leaving. It can also optimize the company's revenue.
In financial institutions, where financial services institutions are required to more stringent compliance with strict security, compliance, and governance controls, CLICK AI automates manual, repetitive tasks, allowing banks to manage daily transaction volumes and audit and audit regulatory agencies. Manage critical operational risk and compliance processes ensuring traceability. It uses AI to enable action to be taken to detect inappropriate behavior or behavior that violates consumer loan laws.
CLICK AI uses big data on trade and foreign exchange transactions of import and export companies to identify transaction patterns and detect suspicious transactions that indicates market illegal behavior. CLICK AI can predict transactions, such as deceiving false trade receivables into normal transactions, so that they can be completely denied, reported for investigation, and assessed for possible fraud. CLICK AI can also reduce false detection rates by fraud prediction. Reduced false-detection rates lead to increased customer satisfaction, revenue protection, and cost savings.