Driving Innovation


Rubiscape's Impact in the

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Solutions build with Rubiscape

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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.

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.

Technique

  • 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.

Unmasking Moves: Bank Transactions Tells

Analyze spending patterns, predict trends, and optimize services with insightful bank transaction analysis.

Goal

  • To identify spending and investment habits of the customers and segment them corresponding to age groups and locations.
  • Utilise these segments for marketing strategies.
  • To plan cross sell and up sell segment-wise.

Technique

  • Statistical Analysis, Clustering Algorithms, Classification Algorithms, Visualization.

Impact

  • Streamlined marketing efforts: targeting specific customer segments, tailored messaging and promotions
  • Increased efficiency : Automating customer segmentation
  • Improved decision-making: gaining insights into customer behaviour and preferences

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.



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