Driving Innovation
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Prediction
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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.
- 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.
No Downtime: Predict Perfect Maintenance
AI foresees future breakdowns, preventing downtime and optimizing equipment lifespan.
Goal
- To predict the status of the water pump at any given time.
- To forecast the status of the machine beforehand.
- To predict the status of the water pump at any given time.
- To forecast the status of the machine beforehand.
Technique
- Statistical Analysis, SMOTE, Predictive Maintenance Analysis, Time Series Forecasting, Long short-term memory networks (LSTM), Visualization.
- Statistical Analysis, SMOTE, Predictive Maintenance Analysis, Time Series Forecasting, Long short-term memory networks (LSTM), Visualization.
Impact
- Breakdown of water pumps are very expensive and could be fatal ​.
- Pumps can be stooped in advance to avoid breakdown. ​
- Breakdown of water pumps are very expensive and could be fatal ​.
- Pumps can be stooped in advance to avoid breakdown. ​
Breathing Easy: Predicting Healthy City Air
Real-time data guides cleaner air initiatives, empowers citizens, and builds healthier urban environments.
Goal
- To predict the level of air pollution in a particular area, based on the various pollutants.
- To forecast AQI for the further months informing the risk of exposure to different pollution levels.
- To predict the level of air pollution in a particular area, based on the various pollutants.
- To forecast AQI for the further months informing the risk of exposure to different pollution levels.
Technique
- Statistical Analysis, Time Series Forecasting, Regression Analysis, Visualization.
- Statistical Analysis, Time Series Forecasting, Regression Analysis, Visualization.
Impact
- Investing in initiatives that directly contribute to air quality improvement.
- Understanding the environmental impact by the release of the pollutants and to take timely action.
- Investing in initiatives that directly contribute to air quality improvement.
- Understanding the environmental impact by the release of the pollutants and to take timely action.
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.
- 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.
- Statistical Analysis, Linear, Ridge and Lasso Regression, Ensemble regression techniques, Vizualisation.
Impact
- Premium Pricing Optimization
- Customer Acquisition and Retention
- Risk Management
- Premium Pricing Optimization
- Customer Acquisition and Retention
- Risk Management
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