Why our B2B matching engine is a pure function, not an ML model

1. 1Design a pure function to handle matching logic using a rules-based approach
2. 2Implement the function using a programming language like Java or Python
3. 3Test the function with various input scenarios to ensure correctness
4. 4Deploy the function in a cloud-based environment for scalability
5. 5Monitor the function's performance and adjust as needed

The engineering and product teams benefit from understanding the design decisions behind the matching engine, as it affects the overall architecture and user experience of the marketplace platform. This understanding helps them make informed decisions about system scalability and reliability

💡 Pure functions can provide more transparency, predictability, and reliability in certain applications, making them a better choice than ML models in some cases

💡 B2B matching engine as a pure function, not ML model, for scalability and reliability #marketplace #architecture