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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.
- 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.
- 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.
- 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.
- 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.
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.
- 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.
- 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.
- 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.
- 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.
- Haversine distance function, Matrix Creation, Comparison, Matching Algorithm.
Impact
- Expanding Market Reach.
- Optimizing Resource Allocation.
- Efficient inventory management.
- Reduced transportation expenses.
- Expanding Market Reach.
- Optimizing Resource Allocation.
- Efficient inventory management.
- Reduced transportation expenses.
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