Abstract: A system described herein may use automated techniques, such as machine learning techniques and/or deep learning, to identify providers for an organization who are at the tail of the company's sourcing utilization. The system may cluster the providers based on types of business attributes, such that similar providers are compared to each other, and score the providers on a per-cluster basis. The system may further rank the providers on a per-cluster basis to identify replacement candidates, and utilize optimization techniques to automatically replace the lowest ranking providers. Advanced visualizations may be generated to indicate the ranked and/or replaced providers. The system may further automatically replace tail providers in sourcing requests when identified as replaceable.