Engineering: leader della Digital Transformation

Engineering Innovation In

Digital Finance

Customer-centred digital transformation

Customer-centred digital transformation

By analysing consumer characteristics and behaviours, new business automation technologies enable targeted pricing strategies to be introduced for banking products.

Approach & Solution

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Approach

In a dynamic and highly competitive market, companies must be able to evolve their offering continuously in response to the demand for products and services.
Our client, one of Europe's largest banking groups, with operations in nearly 50 countries, a workforce of more than 50,000, and tens of millions of customers worldwide – was among those that decided to seize the opportunities offered by this strategic challenge.
The institution has thereby moved from a ZERO-FEE business model to a REWARD system, thanks to a revised commercial offering based on a new pricing strategy for banking products and financial services that is configured to fit the consumer’s characteristics and activities.

Solution

Drawing on our data analytics and Robotic Process Automation (RPA) expertise, our Engineering team developed a solution that allows the client to:
  • Define commercial policies differentiated by user type.
  • Provide decision-support tools for business and organisational strategies, including simulations and forecast-based verifications for overall pricing control.


Using our RPA technologies, we have developed a dynamic engine comprising:
  • A system for parameterising products and services.
  • A batch-processing system for the periodic updating of customer characteristics and their personalised prices.
  • An online processing system for customer acquisition, post-sales administration, and real-time calculation of applicable commissions.

Results

By means of our process automation system, we have enabled the client to achieve significant results in terms of:
- Uniform and integrated management of its commercial offering including products and terms.
- Centralised and timely control of pricing (price lists, conventions, price list adjustments, ratio adjustments, etc.).
- Dynamic price differentiation.
- Decision-support tools.
- Response times for analyses and simulations.
- A drastic reduction in the latency period between the design and implementation of a commercial policy.

Project Value

Cost cutting
Process performance
Innovation
Visibility

Enabling Technologies

AI & Advanced Analytics
RPA

Our Products & Other Technologies

H2O

Project Team

Engineering Finance Business Unit