Problem The client, an e-commerce company, faced challenges in efficiently matching job postings with the most suitable candidates. The goal was to create a system that would: Specific pain points: Solution The SmartCat team implemented a probabilistic matching model using machine learning to optimize the pairing between job postings and candidates. The model was trained […]

Our client, a leading iGaming operator, offers a vast and ever-changing landscape of sports events and games for players to bet on.

Smart reporting with pattern analysis, anomaly detection, and forecasting, providing impactful insights for better decision-making in online retail.