Banking One AI is designed to learn and adapt autonomously without following explicit instructions. Using algorithms and statistical models, patterns in data are analysed and conclusions are drawn. By permanently adding new data sets, the results become continuously more accurate, the forecasts more targeted and the probability of closing in the appointment higher. The AI recognises the most promising customers:
Customers are often selected for sales campaigns according to well-known schemes. Classic selection criteria are, for example, age, household size, gender, income, disposable income or current product use. From these selection criteria, banks usually face the hurdle of making inaccurate predictions about future connection probabilities. The approach to customers is less precise and the best possible conclusion probability cannot be achieved. Ultimately, the appointment and closing rate suffers as a result of the waterfall approach. What is needed is a customer-specific approach that is also demand-oriented.
Banking One analyses the behaviour of your customers and forecasts their needs. The evaluations are stored as a score between 0 and 99. The higher the score, the greater the probability of closing a deal. For better visualisation, the score is displayed in the form of coloured dots in the colours red, yellow or green.
In order to be able to control campaigns, certain categories are evaluated by Banking One and displayed as a score. The software offers a wide range of affinities in various special fields. In addition, it is possible to have your own affinities created in the software by Banking One.
The accurate identification of life events and significant changes offer the ideal starting point for (holistic) advice.
Banking One AI is designed to learn and adapt autonomously without following explicit instructions. By using algorithms and statistical models, it can analyse behavioural patterns in data and draw conclusions. By constantly adding new data sets, the results become continuously more accurate, the forecasts more targeted and the probability of closing a deal in the appointment higher. The AI recognises which customer might be interested in which products and services at which point in time.
During the three-month campaign period, the entire commission result in the field of consumer loans of the year 2021 could be generated for the bank.
2/3 of all degrees
from b1 forecasted
Banking One is used by banks in different ways. Whether adapted to your system or standalone in the Banking One webapp. Thanks to our state-of-the-art technology and modular functionality, you can use Banking One exactly the way you want.
Banking One integrates into your system. Regardless of the software you use, it is possible to optimise Banking One for the software you use. For example, you can use bank-specific data or other interfaces of the core banking system to import data records from Banking One into your system.
With our intuitive webapp, you use Banking One as a stand-alone application. Besides the integration into your system, it is another possibility to use Banking One in full extent. The webapp allows you to rate records in categories with scores. Adjust your campaign parameters via the graphical interface and export the results in various formats for further use.