This use case outlines what customer churn prediction is, why is it important, and how you can implement it with the AI & Analytics Engine.
Customer segmentation is becoming a powerful marketing tool for many industries to drive business growth. Supercharge your customer segmentation with...
Banks can reduce bad debt levels by using ML and AI to predict loan delinquency. In this use case, we explore how the Engine can help with this.
With the influx of data, property price prediction is more important than ever. Learn how you can leverage ML to predict property and real estate...
No bank wants its valuable customers to churn. Retaining customers with customer churn prediction is the most cost-effective way to bring in revenue.
Retailers can proactively plan retail inventory needs with supply and demand forecasting using the AI & Analytics Engine.
Insurers can leverage AI/ML and stay competitive by switching to a dynamic policy pricing strategy with the AI & Analytics Engine.
Using the AI & Analytics Engine, companies in the financial services industry can improve the speed and accuracy of fraud detection with Machine...
Facility optimization to maximize energy efficiency is a challenging concern. ML can be applied to AI-enabled BMS systems and facility management...
Price optimization is becoming an increasingly important driver of competitive advantage for retailers. Leverage AI-powered price optimization for...
The AI & Analytics Engine optimized predictive maintenance strategies in manufacturing, so critical assets can run reliably & profitably for longer.
The AI & Analytics Engine helps physical space optimization projects be developed, providing decision-makers with rich insights to best utilize space.
In this article, we look at the use of AI in trading, in the finance industry. PI.EXCHANGE built a predictive model to quantify the risks and returns...
By leveraging the highly scalable automation and technology available within their AI & Analytics Engine, firms can leverage AI for cybersecurity.
A use case for AI in logistics: The AI & Analytics Engine predicted regional trade-flow of competitors in useful time horizons for a trading company.
Predicting fluctuations in global shipment volumes for demand forecasting with machine learning.
