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Demand Forecasting
Challenge
Accurately predicting demand is a challenge to all manufacturers. This can lead to either stockouts or excess inventory which further led to missed sales opportunities or excessive discounts. Traditional rule based static forecasting methods often fail to account for complex variables such as seasonality, market trends, or sudden disruptions.
Solution
Unify AI helps to create machine learning models that can leverage advanced algorithms to analyze vast datasets, including sales history, market trends, and even external factors like weather or geopolitical events to make more accurate demand forecasts. Moreover, these ML models continuously learn from data and keep improving in their predictions. Unify AI can integrate with other business systems to access and process real-time information, allowing the ML models to adjust forecasts as new data comes in.
Benefits
Technical benefit - The AI Studio component of our Unify AI platform rapidly builds and deploys models to forecast demand by analyzing customer behavior, product features, past data and any other variables relevant to the business. It integrates seamlessly with your business systems for real-time feedback and continuous improvement.
Business benefit - Implementing AI for demand forecasting leads to optimized inventory management, reduced waste, and improved production planning. Manufacturers can now reduce the risk of overproduction or shortages thereby lowering operational costs and enhancing customer delight and loyalty.
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.
Persistency
Challenge
Scattered persistency models across data scientists' local systems caused offline inferences, time-consuming manual scripts and manual sharing, resulting in delays and inefficiencies.
Solution
Achieved higher efficiency with AI Studio to centralize various persistency models, streamlining workflows, getting real-time insights, scalability,and reproducibility - thus, simplifying model management.
Benefits
Technical Benefits: UnifyAI offers high-accuracy models for predicting policy persistency and integrates with policy management systems to analyze customer behavior. The platform supports large datasets, providing scalable analysis across insurance products and customer segments.
Business Benefits: Identifies at-risk policyholders for targeted interventions, enhances retention strategies, and strengthens customer relationships. Improves revenue stability by increasing persistency rates and reducing policy lapses.
