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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.
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Non Performing Assets (NPA) Prediction
Challenge
Difficulties in aggregating and consolidating data from disparate sources, which hindered effective monitoring and management of non-performing assets (NPAs) delaying in data driven decisions.
Solution
Deployed real-time models on UnifyAI's AI Studio providing business users with instant insights for real-time inferences, monitoring of NPA and loan defaults.
Benefits
Early NPA Prediction & Risk Monitoring: UnifyAI's ML models forecast potential NPAs by analyzing transaction patterns and external data, while real-time data integration continuously tracks loan performance, offering predictive insights on customer risk profiles and automating key decisions.
Seamless Integration & Efficiency: UnifyAI's AI Studio integrates with core banking systems to streamline NPA detection and escalation, reducing financial losses, enhancing risk control, and improving operational efficiency through automated workflows and early customer intervention.
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.
