AI Powered Decisions
Our solution is based on machine learning and self-learning enrichment of knowledge base. Decisions taken during the process will be analyzed by machine learning and a knowledge base will be created to suggest future decisions. This also helps to restrict diversion of decision-making, thereby paving way to make quality decisions.
Fast-Track sales with AI
Old analytics model states that a database of several millions of past cases is the only reliable source of information about costs and prediction. In addition to this, various unfavorable conditions are to be included in the failure distribution parameterization to capture different failure intensities across different countries.
We did a study on warning or detection degree of warranty claims data using neural network learning. We designed an early warning system, which protects both manufacturers and consumers by giving a “prior warning” abut abnormal trends and helps in estimation by monitoring various data.Get in Touch
Accelerate critical Decisions with aI
We suggest that different tools are appropriate for modeling a suitable fuzzy method to handle vague data. Our product proposes a fuzzy deduction method for the analysis of multidimensional data based on age, usage, road conditions, geographical and weather conditions. Fuzzy rules system is formulated as IF-THEN statements, with one or more antecedents, which are connected to a consequent via operators like AND, OR, etc.Learn More