With the continuous development of financial technology, new investment and wealth management services such as Robo-advisors have sprung up. Their specific business models and technology applications have further changed commercial banks' wealth management business. Under this trend, the Robo-advisor AI investment project hopes that internal experts will use ICBC's big data platform. It is deep learning, neural network, and other cutting-edge technologies to build models, model self-learning, and create a complete set of innovative financial services. Customers can choose a specific strategy portfolio to invest in in their circumstances. They can perform adjustment optimization operations according to the repositioning suggestions given by the quantitative model built by the back-end machine automatic learning to obtain the maximum return on investment.
Mobile Banking AI Investment Project: To mobile banking AI investment, customers can realize one-click purchase, redemption, and optimization of transaction operations. They can view the details of each fund of funds, profit and loss yield, and transaction records, transaction details, etc.
Intelligent Quantitative Model Project: Quantitative model construction, through a neural network and deep machine learning, realizes automatic model construction and optimization and provides customers with smart investment portfolio models.
The project construction brought social and economic value
● Provide customers with an intelligent investment and wealth management portfolio model. The portfolio model is more intelligent and optimized inaccurately.
● The one-click transaction is simple and fast, which simplifies the operation of customers' portfolio investment and brings more convenient operations to customers.
● Steady growth in sales.