Compare Arkestro vs. Auger.AI

Experience effortless sourcing with no need for logins or apps, as our one-click events seamlessly land in your suppliers' inboxes, enriched with real-time predictive insights. Our adaptable data framework caters to all categories of expenditure, allowing you to source anything you could manage in Excel with ease using Arkestro. With predictive anomaly detection, potential mistakes are identified and corrected before they impact procurement processes. The role-based access feature streamlines project management for sourcing events, ensuring all stakeholders receive timely updates. Arkestro enhances sourcing cycles by learning from supplier behavior, which helps to reduce the time required for these processes. A straightforward email-based workflow offers a range of award scenarios tailored to your sourcing events, regardless of their size or complexity. Supplier quotes often contain errors stemming from manual data entry and copy-pasting, which can complicate the sourcing process. Monitoring the progress of sourcing activities typically involves numerous pivot tables, making the task cumbersome. Additionally, new sourcing cycles often fail to incorporate insights from supplier quotes submitted in prior cycles. To aid in this, our pricing simulator provides immediate recommendations for suppliers to adjust and resubmit their proposals, making the process even more efficient. Ultimately, Arkestro transforms the sourcing landscape by minimizing errors and maximizing efficiency through intelligent data utilization.

Auger.AI delivers the most comprehensive solution for maintaining the accuracy of machine learning models. Our MLRAM tool (Machine Learning Review and Monitoring) guarantees that your models maintain their accuracy over time. It even assesses the return on investment for your predictive models! MLRAM is compatible with any machine learning technology stack. If your ML system lifecycle lacks ongoing measurement of model accuracy, you could be forfeiting profits due to erroneous predictions. Additionally, frequently retraining models can be costly and may not resolve issues caused by concept drift. MLRAM offers significant benefits for both data scientists and business professionals, featuring tools such as accuracy visualization graphs, performance and accuracy notifications, anomaly detection, and automated optimized retraining. Integrating your predictive model with MLRAM requires just a single line of code, making the process seamless. We also provide a complimentary one-month trial of MLRAM for eligible users. Ultimately, Auger.AI stands out as the most precise AutoML platform available, ensuring that your machine learning initiatives are both effective and efficient.