Randomized Transaction Data Using FakerJS

[jaechow]

Summary

This PR integrates [FakerJS](https://fakerjs.dev/) to replace static, hard-coded transaction values with dynamically generated data. The updated approach introduces realistic and unique transaction details, enhancing the Decision Manager experience by better emulating real-world scenarios.

Changes

1. Integration of FakerJS:
   • Added FakerJS to generate random values for transaction attributes like names, addresses, payment details, and transaction amounts.
2. Dynamic Transaction Data:
   • Replaced static data with realistic, randomized values to ensure variability in testing.
3. Improved Testing Scenarios:
   • Enhanced test cases with diverse, randomized data for more robust and realistic evaluation.

Benefits

• Enhanced Realism: Transactions now reflect real-world behavior with unique and varied data.
• Improved Decision Manager Accuracy: Increased data variability supports better experience and reduces false-positives.
• Reduced Risk of Stale Data: Eliminates reliance on outdated hard-coded values (Eg. expiration date).