retail
Driving Innovation
Rubiscape's Impact in the
Automotive Industry
Solutions build with Rubiscape
Implement Rubiscape’s AI-enabled Solutions! Geared for the future!
Level Up Sales: With Upselling & Cross-Selling
Offer tailored solutions, boost revenue, and delight customers with strategic upselling and cross-selling.
Goal - To improve up-sell and cross-sell processes in the insurance industry .
- To increase the breadth of coverage within a single category of insurance products.
- To offer different types of insurance coverage to meet different customer needs.
- To improve up-sell and cross-sell processes in the insurance industry .
- To increase the breadth of coverage within a single category of insurance products.
- To offer different types of insurance coverage to meet different customer needs.
Technique - Statistical Analysis, Sampling Techniques, Classification Algorithms, Visualization.
- Statistical Analysis, Sampling Techniques, Classification Algorithms, Visualization.
Impact - Increase sales and revenue through precise predictions and focused communication.
- Boosting conversions for the Vehicle Insurance product line and driving business growth.
- Increase sales and revenue through precise predictions and focused communication.
- Boosting conversions for the Vehicle Insurance product line and driving business growth.
Future Pricing: Predicting Profitability
Stay ahead of market shifts, optimize margins, and secure success with accurate price forecasting.
Goal - To predict raw material needs for optimized supply chain and production planning
- To forecast, plan and schedule production, ensuring a smooth manufacturing process.
- To predict raw material needs for optimized supply chain and production planning
- To forecast, plan and schedule production, ensuring a smooth manufacturing process.
Technique - Statistical Analysis​, Time Series Forecasting, Visualization.
- Statistical Analysis​, Time Series Forecasting, Visualization.
Impact - Reduced inventory costs through accurate raw material predictions.
- Avoided production delays, minimizing associated expenses.
- Improved coordination between suppliers, manufacturers, and distributors.
- Reduced inventory costs through accurate raw material predictions.
- Avoided production delays, minimizing associated expenses.
- Improved coordination between suppliers, manufacturers, and distributors.
Confident Lending: Credit Risk Solved
AI-powered analysis unlocks credit risk insights for smarter lending decisions.
Goal - To delve deeper into customer behaviour.
- To extract valuable insights
- To predict creditworthiness more effectively than ever before.
- To delve deeper into customer behaviour.
- To extract valuable insights
- To predict creditworthiness more effectively than ever before.
Technique - Support Vector Machine, Random Forest, KNN, MLP Neural Network, Extreme Gradient Boosting.
- Support Vector Machine, Random Forest, KNN, MLP Neural Network, Extreme Gradient Boosting.
Impact - Improved profitability and business growth, based on influencing qualitative factors.
- Management can craft policies that drive their business to achieve its goals.
- Identify possible threats and estimate their likely impacts.
- Improved profitability and business growth, based on influencing qualitative factors.
- Management can craft policies that drive their business to achieve its goals.
- Identify possible threats and estimate their likely impacts.
Unveiling Loyalty: Predict Customer Lifespan
AI models pinpoint high-value customers, driving targeted engagement and long-term growth.
Goal - To identify high, medium, and low-value customer segments.
- To provide personalized offers and experiences to customers.
- To allocate resources efficiently to businesses for targeting customers with the highest CLV potential and predict customer churn.
- To identify high, medium, and low-value customer segments.
- To provide personalized offers and experiences to customers.
- To allocate resources efficiently to businesses for targeting customers with the highest CLV potential and predict customer churn.
Technique - Feature Engineering, Segmentation Techniques, RFM Analysis, Clustering and classification modeling, Visualization.
- Feature Engineering, Segmentation Techniques, RFM Analysis, Clustering and classification modeling, Visualization.
Impact - Guided resource allocation, marketing strategies, and customer service efforts.
- Offering cross-selling and upselling opportunities to customers with CLV potential.
- CLV helps businesses identify risks associated with over-reliance that encourages diversification and risk management strategies.
- Guided resource allocation, marketing strategies, and customer service efforts.
- Offering cross-selling and upselling opportunities to customers with CLV potential.
- CLV helps businesses identify risks associated with over-reliance that encourages diversification and risk management strategies.
Do even more with Rubiscape
AI-driven organisations around the world use Rubiscape to solve their most pressing business problems.
Drag, Drop, Discover:
Insights Made Simple.
Dive deep into your data, create stunning visuals, and gain actionable insights with ease.
Learn More
Learn More
Build, Deploy, Manage:
Streamline AI Workflow.
Wrangle, Blend, Analyze:
Data Orchestration Refined.
