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Back to News List

AI and Tokenization Revolutionize Personalized Loyalty Programs in Commerce

May 5, 2025•PYMNTS•Original Link•1 minutes
Tokenization
LoyaltyPrograms
AgenticAI

Agentic AI and tokenized payments are transforming loyalty programs by enabling personalized, automated rewards that extend beyond individual merchants.

Tokenization and agentic AI are reshaping loyalty and rewards programs, making them more personalized and automated. According to a PYMNTS Intelligence report, 46% of cardholders actively earn and redeem rewards, but the process often lacks efficiency. The study highlights that 75% of cardholders value ease of access, while 74% prioritize personalization in rewards programs.

The Power of Tokenization

Tokenization replaces traditional 16-digit card numbers with unique, secure tokens. These tokens can carry permissioned consumer data, enabling richer, more contextual rewards. Major networks like Visa and Mastercard report explosive growth in tokenized transactions, with Visa noting 13.7 billion tokens issued.

Agentic AI Enhances Rewards

Agentic AI leverages tokenized data to automate and personalize rewards. For example, Visa's Intelligent Commerce APIs rank offers based on spending habits, while Mastercard's Agent Pay uses programmable parameters to streamline discounts.

Key Benefits

  • Personalization: Rewards align with individual preferences.
  • Automation: Reduces the need for manual reward hunting.
  • Fungibility: Tokens enable rewards to travel across merchants.

This evolution marks a shift from merchant-specific loyalty programs to network-wide rewards, driving engagement and card usage.

Related News

August 13, 2025•C P Balasubramanyam

Agentic AI Transforms Enterprise Workflows with Autonomous Systems

Enterprises are shifting from passive AI tools to autonomous agentic systems, redefining workflows and driving innovation across industries.

AgenticAI
EnterpriseTransformation
DataDriven
August 12, 2025•Unknown

Master Agentic AI with Python in This 4-Hour Video Tutorial

Learn agentic AI engineering in Python through a comprehensive four-hour video workshop by Jon Krohn and Edward Donner, covering frameworks, workflows, and hands-on coding.

AgenticAI
Python
MachineLearning

About the Author

David Chen

David Chen

AI Startup Analyst

Senior analyst focusing on AI startup ecosystem with 11 years of venture capital and startup analysis experience. Former member of Sequoia Capital AI investment team, now independent analyst writing AI startup and investment analysis articles for Forbes, Harvard Business Review and other publications.

Expertise

Startup Analysis
Venture Capital
Market Research
Business Models
Experience
11 years
Publications
200+
Credentials
2
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