Understand Your Customers –
with AI-Based Customer Intelligence
KEBA Digital shows how artificial intelligence in retail unlocks the full potential of your customer data – driving higher customer loyalty, targeted upselling, and long-term value creation. By transforming insights into personalized experiences, we help retailers build stronger relationships and sustainable growth.
The Challenge:
Lack of Visibility into Customer Value and Behavior
Marketing and service budgets are often distributed evenly, regardless of which customers are truly profitable in the long term.
Without a deeper understanding of purchasing behavior, usage intensity, or churn risk, many revenue opportunities remain untapped.
Customer communication and offer design are also frequently too generic – without knowing which offer delivers the greatest impact at the right time.
The Solution:
Predictive Customer Intelligence Insights
KEBA Digital develops AI-based models that analyze and predict customer behavior, value, and needs.
This enables marketing, sales, and service to be managed not only more efficiently, but also more precisely – data-driven, personalized, and predictive.
Customer Lifetime Value Prediction –
Focus on the Most Profitable Customers
Our models forecast the long-term economic value of each customer based on purchase history, transaction values, usage intensity, and interactions.
AI algorithms such as regression methods, classification models, and neural networks calculate Customer Lifetime Value (CLV) in real time.
Benefits:
- Focused initiatives for profitable customer segments
- More efficient allocation of resources in marketing & sales
- Sustainable revenue growth through targeted retention strategies
Churn Prediction – Detect Customer Attrition Early
Many retailers only recognize customer churn when it is already too late.
With AI-powered churn prediction, KEBA Digital identifies at-risk customer relationships early based on activity patterns, service interactions, and purchasing behavior.
Models used: gradient boosting, logistic regression, and behavior-based machine learning models.
Benefits:
- Early warning system against customer churn
- Targeted reactivation measures for at-risk customers
- Improved customer loyalty and service quality
Purchase Behavior Prediction & Best Next Offer –
The Right Offer at the Right Time
Our best-next-offer models analyze purchase histories, channel usage, and real-time behavior to generate individualized product recommendations.
Using deep learning techniques and context-aware algorithms, offers are automatically adapted to customer interests and timing.
Benefits:
- Highly relevant and precise product recommendations
- Increased conversion rates and repeat purchase frequency
- Stronger customer relationships through personalized communication
Visualizations of Customer Intelligence Use Cases
Technological Foundation
KEBA Digital relies on a combination of data science, machine learning, and real-time analytics to implement customer intelligence holistically.
Our solutions integrate seamlessly into existing CRM, ERP, and e-commerce systems – on-premises or cloud-based.
- Neural Networks
- Deep Learning Architectures
- Regression models
- Gradient-boosted trees
- Behavior-based classification models
- Recommendation Engines
Your Benefits
with KEBA Digital
Cost Reduction
Lower inventory and staffing costs through data-driven planning
Efficiency Gains
Automated forecasting and decision support
Sustainability
Less waste and transportation through more precise planning
Increased Revenue
Better product availability and higher customer satisfaction
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