AI is increasingly being applied to portfolio management in retail and business banking, with use cases spanning customer management, pricing, sales and profitability.
In this webinar, we will explore how banks can use AI to move from periodic, product-level portfolio management towards more continuous, relationship-based optimization.
Predictions around customer behaviour, offer acceptance and product propensity become significantly more valuable when combined with the economics of the customer relationship. This includes margins, funding costs, expected losses, capital requirements, cost-to-serve and the value of the broader relationship.
Bringing these elements together allows banks to make more informed decisions on how to grow existing customer portfolios profitably, across areas such as:
• Customer-level pricing and repricing
• Next-best-action and cross-sell
• Identification of underdeveloped customer potential and likelihood of acceptance
• Continuous profitability and portfolio steering
• Optimization of capital allocation
The webinar will combine a strategic perspective with a practical, solution-based approach. We will discuss how banks can identify the most relevant AI use cases, define the right economic objectives, and build the data, KPI and decision-making foundation required to support AI-enabled portfolio management.
