Anticipating wants and needs
Insights into customer needs can be found in the data depicting their past decisions, behaviors and preferences. Over time, a banking application learning the customer characteristics becomes the customer’s virtual advisor – it can analyze their financial capabilities, select solutions, or anticipate future needs.
Increased sales of financial products
More personalized offers
First, our data scientists analyze your clients’ demographic and financial situation, their past transactions and recommendations made to them, or their product history. Based on these, the scientists create the most accurate model that predicts which investment products will be the most appealing to your clients, so you can win them over by extending truly personalized offers to them.
We can provide you with either a lightweight solution dedicated to solve your particular pain point, or a full one, encompassing other useful features.
See our products that leverage deep learning for product recommendations:
Comarch Wealth Management
Comarch Wealth Management is an integrated, multi-module platform dedicated to retail, affluent and private banking client segments. The platform supports wealth management service providers and their clients in delivering sound investment advice.