Driving Innovation


Rubiscape's Impact in the

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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.

Technique

  • 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.

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.

Technique

  • 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.

Personalized Shopping: The E-commerce Edge

Unlock hidden customer groups, personalize offers, and boost sales with smarter segmentation.

Goal

  • To predict the customer’s lifetime value using RFM and k-means clustering.
  • To predict the review score for the next order or purchase.
  • To provide more accurate and relevant product recommendations to customers.
  • To find best valued customers segment.

Technique

  • Statistical Analysis, K-means Clustering Algorithm, Sentiment Analysis, Visualization.

Impact

  • Improved targeted marketing.
  • Personalised service, sales and marketing as per the needs of specific groups.
  • Informed decision-making and optimize offerings.
  • Enhanced customer experience.

Personalized Premiums: Predict Cost & Health

AI estimates future healthcare needs, enabling fair and sustainable insurance for all.

Goal

  • To predict the cost of the insurance premium.
  • To assess the risk associated with insuring a particular individual or group.
  • To inform pricing strategies by accurately estimating the premium costs based on various factors.

Technique

  • Statistical Analysis, Linear, Ridge and Lasso Regression, Ensemble regression techniques, Vizualisation.

Impact

  • Premium Pricing Optimization
  • Customer Acquisition and Retention
  • Risk Management
 

Do even more with Rubiscape

AI-driven organisations around the world use Rubiscape to solve their most pressing business problems.



marketing

Drag, Drop, Discover:
Insights Made Simple.

Dive deep into your data, create stunning visuals, and gain actionable insights with ease.

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marketing

Build, Deploy, Manage:
Streamline AI Workflow.

Build robust, Scalable ML/DL models with ease , automated workflows & data empowerment.

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marketing

Wrangle, Blend, Analyze:
Data Orchestration Refined.

Develop data fabric and flow designs with low-code, pro-code and self service platform.

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marketing

Manage, Evaluate, Automate:
Edge Analytics Seamless.

Handle data or device management with integrated ML models and M To M application.

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