Dynamic Rating
Companies need to know the value of a prospective customer (also known as customer-perceived value) before proposing the sale of new products and services. Machine learning models applied to Dynamic Rating make it possible for companies to analyze all aspects and variables that affect the expected and estimated value of each potential customer, supporting new customer acquisition strategies.
Strategic Sourcing
Through a system of appropriate predictive algorithms, the supply chain management (SCM) processes can be streamlined and made more flexible to changes in consumer behavior and global market trends. The systems provide the company with a system that is capable of improving data-driven strategic decision making processes based on specific business processes, and thus make highly personalized data-driven decisions.
Quality Control
Using Artificial Intelligence algorithms, any modern company can implement quality control to intercept and predict production line errors. As a result, AI systems can detect cause-and-effect relationships between each stage of manufacturing and its KPIs, identify errors and provide machinery analysis to the team responsible for control, and predict and suggest corrective actions to be implemented in the future.
Marketing Channel Performance
In order to optimize the ROI of online advertising campaigns, a software system has been created to perform both analysis and accurate forecasting of marketing initiatives. The system enables the analysis, attribution of value, and simulation of cost-effective scenarios in order to plan ADV and marketing campaigns and budgets.
Healthcare Computer Vision
The specific training and use of computer vision algorithms applied to traditional medical diagnostics enhances the ability to detect abnormalities and dysfunctions of human organs and tissues. Mathematical models can aggregate more relevant data from traditional diagnostic examinations and patient characteristics, and provide the physician with detailed and accurate data on the progression of the disease, possible further diagnostics, and personalised treatment or follow-up options.
Document Miner
The asset of data available to a company is of great value if it is possible to extract knowledge from that data and transform it into business results. Data Mining techniques help extract value from the enormous and heterogeneous quantity of documents and structured and unstructured data, constantly produced and collected by companies, to guide the transformation of data into business actions.
