We developed machine learning and deep learning models to predict whether a consumer would return as a customer, while also creating an automated system to manage average handling time (AHT) for customer service.

We developed and deployed machine learning models to refine demand forecasting and inventory optimization in Amgen’s pharmaceutical supply chain. These efforts minimized stockouts, cut waste, and improved overall operational planning.

Amia.ai implemented a Generative AI product-tagging system using a RAG architecture. This improved tagging accuracy while reducing the need for manual checks, integrating seamlessly with Nike’s existing product workflows.