The proposed presentation aims to present significant advancements in the application of Artificial Intelligence (AI) and Machine Learning (ML) to the field of flow assurance through predictive product selection for pour point depression (PPD) applications. This work encompasses the utilization of oil characteristics, application conditions, and treatment objectives to accurately forecast the efficacy of established PPD products when applied to untested crude oils. The developed AI/ML model has already shown its utility in actual customer applications and these results will be discussed. Continual refinement with additional crude oil and product data sets is ongoing as the system continues to learn and further enhance the model's precision. Presentation and discussion at this workshop will not only inform the audience of this technical achievement, but is also envisioned to lead to critical input that will help to improve and refine the model for the betterment of the Flow Assurance industry as a whole.