Dynamic Pricing Models
Challenge
Constantly fluctuating demand, varying raw material costs, intense competition and changing regulations are major hurdles in getting the product pricing right. Traditional pricing methods often rely on fixed rule based models that cannot adapt to market changes in real time. This may result in either missed earning opportunities or loss of market share.
Solution
Machine learning models powered by Unify AI leverage multiple machine learning algorithms to analyze multiple data points, such as historical sales, market trends, customer behavior, supply chain conditions, competitor pricing and macro economic indicators. It also helps to choose between various statistical methods for achieving the most desirable results. While business systems continuously update market feedback, our data ingestion tool kit allows for ingesting the data in real time allowing manufacturers to adjust prices quickly.
Benefits
Technical benefits : Since our data ingestion tool kit, AI studio for ML modeling, feature store etc are all integrated in a single framework, data scientists are able to quickly address data and model drifts in the wake of changing market conditions.
Manufacturers can now maximize revenue by responding swiftly to market fluctuations, ensure competitive pricing, reduce the risk of overpricing or underpricing, and improve profitability.
Anti-Money Laundering (AML)
Challenge
Challenges with AML arising from fragmented data sources, making it difficult to detect suspicious activities. Existing detection methods being inefficient, causing compliance with reporting and documentation requirements to be cumbersome.
Solution
UnifyAI platform enables integration and unification of customer data from various sources to create a single, comprehensive view of data and models. Predicting and assigning risk scores to transactions and customers, while prioritizing investigations - thus improving overall AML efforts.
Benefits
Technical Benefits: UnifyAI AIStudio's machine learning models enhance detection precision, minimizing false positives and negatives. Its real-time analysis and advanced data integration swiftly identify suspicious activities, while effortlessly scaling to handle large transactional volumes for growing institutions.
Business Benefits: Automating AML processes reduces operational costs, streamlines compliance, and ensures adherence to regulations, lowering penalties. AI Studio proactively identifies risks, improving security and fostering customer trust through reliable and compliant operations.
Early Claim Prediction
Challenge
Multiple early claim prediction models across systems caused fragmented management, offline inference delays, manual scripting inefficiencies, making data sharing difficult amongst teams.
Solution
UnifyAI's automated model orchestration for early claim prediction, streamlines workflows, improves accuracy, and delivers seamless integration with end-system APIs for efficient decision-making.
Benefits
Technical Benefits: AI Studio from UnifyAI accelerates advanced claim prediction models and processes policyholder data in real-time with APIs. It offers customizable models that improve prediction accuracy by adjusting to new data.
Business Benefits: Minimizes financial losses by swiftly identifying and addressing fraudulent transactions, enhances customer trust and loyalty, and provides actionable insights for continuous improvement in fraud prevention strategies.