Auriga’s WWS AI module is a component of its WinWebServer omnichannel banking software suite.
Bankers can now get an Artificial Intelligence-led insight into their banking operations with the help of Auriga’s new WWS AI module.
According to a report by the World Economic Forum, in collaboration with Deloitte, 76 percent of Chief Experience Officers in the banking industry feel that Artificial Intelligence is a top priority because it is critical for differentiation.
How can AI help in banking?
Banking data analysis
The new WWS AI modules help in the analysis of data, even legacy data, to deliver a range of paybacks for the banking institution.
For customer experience and retention
Design of the customer journey
Develop personalized loyalty programs
Digital signage, file management and appointments with banking executives
Provide services at competitive costs, even outside of popular locations
Elevate levels of customization
Customers’ churn rates and satisfaction levels
For strategic and advanced data analysis
Forecasting
Strategic business analysis
Identify correlations and re-usable patterns for fine-tuning operations
Identify trends, seasonality and profitability of every banking service provided
Design innovative new services, new performance models and new roles in the value chain
WWS AI module for predictive analysis and risk management
Management of the life cycle of physical devices
Cash management chain including predicting withdrawals, deposits and recycles
Management of operational risks
Device management to reduce costs
Maintenance algorithms for asset management
Auriga is a European leader in the development of integrated platforms that have contributed to the development of new omnichannel banking models.
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