Driving Innovation


Rubiscape's Impact in the

Association Mining

Solutions build with Rubiscape

Implement Rubiscape’s AI-enabled Solutions! Geared for the future!



Delight Purchase: Mastering Sales & Service

Exceed expectations, build loyalty, and fuel repeat business with exceptional after-sales support.

Goal

  • To represent the root cause of failures.
  • To determine the time for first failure of an equipment part and forecast number of future breakdown calls for that part.
  • To identify interdependency of part failures.

Technique

  • Statistical Analysis, Root cause Analysis, Reliability Analysis, Time Series Forecasting, Visualization.

Impact

  • Based on root causes of failure, location/manufacturer wise strategies can be planned to avoid early failure.
  • Reduction in number of breakdown calls and associated cost.
  • Early warning breakdown calls helps in taking preemptive measures.
  • Identified sequence of patterns for failure of parts, helps in preventive actions.

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.

Technique

  • 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.

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.

Bridging Gaps:Power of Geospatial Matching

Match locations precisely, optimize operations, and gain a deeper understanding of your world with powerful geospatial matching.

Goal

  • Implement a geospatial matching algorithm with third-party retailers.
  • Leverage the strategic advantages of location intelligence for business model transformation and optimization.
  • Create a significant and lasting impact on operations.
  • Enhance the value delivered to customers and partners through the initiative.

Technique

  • Haversine distance function, Matrix Creation, Comparison, Matching Algorithm.

Impact

  • Expanding Market Reach.
  • Optimizing Resource Allocation.
  • Efficient inventory management.
  • Reduced transportation expenses.
 

Do even more with Rubiscape

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



Association Mining

Drag, Drop, Discover:
Insights Made Simple.

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

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Association Mining

Build, Deploy, Manage:
Streamline AI Workflow.

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

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Association Mining

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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Association Mining

Manage, Evaluate, Automate:
Edge Analytics Seamless.

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

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