CONSUMER BANKING
Redefining Customer Engagement and Business Intelligence
Key Challenges in
Consumer Banking~
01
Multiple, disparate, legacy systems and data silos. No single view of data
02
Fragmented view of customer and untapped upsell / cross-sell opportunities
03
One-size-fits-all customer experiences and broken journeys
04
Limited analytics guiding merchant acquisition and campaign optimization
05
Merchant onboarding and management is manual and non-standardized
06
Unable to fully utilize unstructured, structured, and external data to understand the customer, accelerate decision-making, detect fraud etc
maya.ai’s modular magic for Consumer Banking
Unify disconnected data sources to build a 360 view of the customer
Improve product penetration and customer lifetime value with AI-enabled lead generation and targeted product recommendations
Accelerate decision-making with timely and relevant insights
Transform customer experiences with personalized, omni-channel engagement to drive satisfaction and loyalty
Unlock the value of banking data with out-of-the-box models for data management, customer lifecycle, fraud & risk management, and more
Success Stories
How Crayon Data Has Helped Enterprises Increase Customer Satisfaction and Marketplace Spends
/01
Driving Portfolio Growth with Personalized Campaigns for India’s Largest Credit Card Issuer
/02
Revolutionizing Commerce: AI-Powered Lifestyle Marketplace for a Leading Islamic Bank
/03
Revitalizing Cardholder Engagement: Personalized Campaign Triumph for a Leading Global Issuer in the Middle East