Which banks use artificial intelligence?

With the digital transformation, banks have every opportunity to plan and design their business processes consistently and consistently from the customer. Companies have been processing data for many years and now have vast amounts of data at their disposal. However, the data only becomes valuable when it can be processed productively and when its processing also brings noticeable added value to the customer.

But how do data points become sales-relevant information about customer needs? And how can banks know and serve the preferences of each of their thousands or even millions of customers?

The answer lies in artificial intelligence (AI) and automation.

If data is the new oil, then AI is the engine

If AI is used sensibly, it expands the possibilities of optimizing sales and marketing processes for the benefit of the customer. Because the benefit received by the customer is not only a question of the product offering itself, but also a question of timing and addressing. One of the decisive factors for sales success is to take into account the customer's situation and receptiveness and to optimize communication across the entire customer journey and across all touchpoints. The aim is to find the best fit between supply and demand at a given point in time.

AI is able to master this task with the help of data. The software solutions from Adtelligence make it possible to offer individual customers what they want at that point in time and with precisely the right approach. Regardless of whether this wish is conscious or not. The way to get there is through personalization that encompasses the entire sales process. It is based on the consolidation and evaluation of data available in the company using various machine learning algorithms.

To this end, customer data from all available sources is recognized, combined and used. By integrating CRM, transaction and user data in a private cloud-based big data infrastructure, data previously stored in silos is made usable and can be applied to customer processes.

Increase in sales across all channels - from website to e-mail and customer portal to call centers

An example: Two different users call up a bank's website at the same time - which layout they find, which information is highlighted and how they are addressed, however, is different and tailored to their predicted interests; For example, one person is prominently shown a loan offer, while the other is shown an investment in securities.

The displayed variant is the result of the automated data analysis and the estimate of conversion probabilities based on it. The AI ​​includes all usable and previously defined data parameters in order to create an individual customer experience in real time. Among other things, it can be taken into account via which channel users access, from which device, at what time, even in what weather. The result is an automated and personalized approach that satisfies individual customer needs and thus creates added value.