Use Cases
Our customers use Kepler to generate powerful insights and ROI across a variety of use cases.
Kepler is an AI business platform that features powerful machine learning and AI algorithms that can be used to address hundreds of use cases across your organization. The following are a selection of ways our customers have found value with Kepler.
Customer behavior modeling
Augmented decision making
Business planning
Process automation
Customer behavior modeling
Use demographic, behavioral and other relevant data to create powerful customer behavior models that dramatically improve retention, customer lifetime value, and ad spending through accurate customer predictions and deeper insights into your customers.
Reduce customer churn
Make your churn prevention programs more efficient by accurately predicting the likelihood of churn at earlier stages.Predict customer lifetime value
Identify customers and leads who have the highest potential value to increase revenue and optimize sales, marketing and customer intervention programs.Personalized product recommendation
Make highly relevant recommendations based on similarities between a user’s purchase behavior and the purchase behaviors of other users.Predict user intent
Predict the intent of users early in order to provide faster paths to desirable goals to improve conversion and customer engagement.Customer segmentation
Categorize user characteristics and behavior in order to build unique content programs to improve marketing spend and conversion.Sentiment analysis
Get an accurate view on perception and affinity across brand, product and customer experiences to address issues and seize opportunities faster, improve customer retention and conversion.Augmented decision making
Add more accuracy and confidence to your decision-making processes with the assistance of the powerful analysis capabilities of AI.
Automated image
analysis
Use machine learning to automatically analyze image characteristics to accelerate the decision-making process (i.e.: medical image analysis, preventive maintenance, quality assurance, etc.).
Predict drug
prescriptions
Predict whether a patient will be prescribed a drug, and which drug they are most likely to be prescribed to improve demand forecasting and inform future drug development.
Predict and analyze contract duration
Understand and address driving factors in early contract termination, allowing for efficient and timely intervention programs.Business planning
Incorporate predictive insights and data-driven intelligence into your business planning. Use AI to support planning across all functions of your business.
Accurately forecast demand
Improve demand forecasting and avoid inventory shortfalls, spoilage and excess inventory.Interest rate prediction
Identify customers and leads who have the highest potential value to increase revenue and optimize sales, marketing and customer intervention programs.Marketing attribution
Get accurate insights into customer conversion probability at earlier stages, and adapt your strategies to correct inefficiencies.Process automation
Achieve higher efficiency and drive down the cost of maintenance and production errors in manufacturing processes with AI-powered automation.
Quality control
Reduce quality errors with quality control machine learning models that can be used to monitor product defects and anomalies in production cycles.Predictive maintenance
Avoid equipment failures and drive down the cost of equipment maintenance.
Fraud detection
Detect fraud early and accurately to reduce fraud loss and false positives.
What our clients and partners are saying about us.
