A European sports equipment retailer partnered with DataArt to develop a robust sales prediction model that takes into account seasonality, buyer behavior patterns, and location-specific factors. The solution empowered the client to make data-driven estimates on future trends, enabling better decision-making and strategic planning. Thanks to the solution, the client reduced inventory per store, minimizing excess stock and associated costs, and was more prepared for demand during national holidays and major events.

A client providing payment processing services approached our AI services company to build a next-generation in-house fraud detection solution. The system independently evaluates fraudulent transactions in real-time, giving priority to the most critical ones, allowing for swift risk mitigation, ultimately reducing financial losses due to fraudulent activities. With the capability to process tens of thousands of data points per day, the system ensures the effective efficient handling of large transaction volumes.

Pharmaceutical companies and pharmacovigilance organizations encounter difficulties in precisely identifying adverse drug reactions from social media content. eFAIDA has engineered a model to enhance accurate ADR detection by analyzing social media content and establishing an advanced monitoring system for preventive measures. Our innovative solutions extract valuable insights from social media content, enabling pharmaceutical companies to respond promptly and make informed, data-driven decisions.