GreeceFinance and insurance2024 – ongoingEurobank Ergasias Services and Holdings
Machine-learning recommendations for customer offers
Eurobank's recommendation engine reached 2.1 million customers in 2024
Problem
Eurobank needed to personalise customer communications at scale while prioritising commercial objectives. Its campaigns operated across digital and physical channels.
Approach
The bank developed and deployed a recommendation engine combining machine learning with business rules. The system supported personalised recommendations within its customer-value management work. Eurobank reported that most transactional customers received at least one recommendation.
Results
Takeaway
The disclosed figures measured recommendation reach. They did not establish how much additional revenue the engine generated.
Categories
- Size
- Large enterprise
- Industry
- Finance and insurance
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Eurobank's 2024 annual report described deployment of a recommendation engine combining machine learning and business rules. It reported reaching 2.1 million customers, equivalent to 87% of the transactional customer base.
Full details are in the original sources.
