Processing humongous data generated by e-commerce companies pose problems in terms of scale and performance. Eugenie's advanced machine learning based solution can ensure personalized customer experience and improved sales processes for e-commerce businesses. Analyzing market dynamics and trend to build optimal price and inventory models can be accurately performed with Eugenie.
Eugenie's state-of-the-art solution is ideal for analyzing large volumes of historical data usually generated in the financial ecosystems. Our accurate forecasting models have proven capabilities in detecting root cause of business anomalies. Processing huge amount of data with the help of the distributed architecture and streaming support enables Eugenie to contribute in sensitive areas of financial institutions like credit scoring, financial statement frauds, and credit card fraud detection.
Telecommunication networks today face increased challenges with new technology paradigms such as Internet of Things (IoT). Due to an exponential growth in data consumption in recent times, telecom service providers need to match up in terms of network optimizations and increased customer service. Eugenie’s real-time anomaly detection and forecasting mechanism can help immensely in maintaining seamless dataflow by contributing in areas such as network monitoring, network security, predictive network maintenance as well as fraud detection.
Scope of artificial intelligence in healthcare can be tremendous and truly life - changing. Eugenie is equipped with data driven outlier identification and alerting framework that can use past patient data in EHR (Electronic Health Records) repositories to identify any potential health concerns for patients. Based on the conclusions, optimum corrective action can also be indicated. Eugenie’s machine learning based forecasting capabilities can also be utilized in the operational and administrative aspect of healthcare systems. Furthermore, Eugenie’s distributed architecture and streaming support can help in scaling and seamless operations.
Consumer packaged goods companies can utilize colossal data usually provided through different channels such as enterprise data, consumer behavior, data generated from IoT devices as well as data from various partners. This vast amount of data can be used in strategic decisions that can have vital impact on the business operations. Eugenie’s machine learning powered solution can perform demand and sales forecasting, trend predictions, as well as diagnostics and recommendations which can have a tremendous effect in terms of decision making.