Driving Innovation
Rubiscape's Impact in the
Forecasting
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Forecast Smarter: The Winning Combo
Optimize inventory, boost margins, and streamline purchasing with powerful demand forecasting and procurement tools.
Goal
- To forecast sales quantity for each product.
- To plan inventory based on the forecasted sales.
- To avoid stock-out situation.
- To forecast sales quantity for each product.
- To plan inventory based on the forecasted sales.
- To avoid stock-out situation.
Technique
- Statistical Analysis, Feature selection and new feature generation, EDA and Clustering, Time Series Forecasting, Visualization.
- Statistical Analysis, Feature selection and new feature generation, EDA and Clustering, Time Series Forecasting, Visualization.
Impact
- Provides visibility about the sales quantity in the coming period.
- Enables agile decision making in response to dynamic market conditions.
- Helps to enhance inventory management and to avoid out-of-stock situation.
- Provides visibility about the sales quantity in the coming period.
- Enables agile decision making in response to dynamic market conditions.
- Helps to enhance inventory management and to avoid out-of-stock situation.
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.
Predicting Pantry: FMCG Forecasting growing.
See the future of fast-moving goods, optimize production, and stay ahead of trends with intelligent forecasting.
Goal
- Forecasting and Demand Planning: Predict product demand and manage inventory to avoid stock-outs.
- Profitability Maximisation: Maximise profits by analysing sales channels and products, and allocating resources to high-profit areas for revenue growth.
- Forecasting and Demand Planning: Predict product demand and manage inventory to avoid stock-outs.
- Profitability Maximisation: Maximise profits by analysing sales channels and products, and allocating resources to high-profit areas for revenue growth.
Technique
- Statistical Analysis, Data Modelling, Time Series Forecasting, Visualization.
- Statistical Analysis, Data Modelling, Time Series Forecasting, Visualization.
Impact
- Optimized inventory management and supply chain corresponding to economic and market factors.
- Improved customer satisfaction and loyalty through consistent quality and availability of the products across different regions
- Optimized inventory management and supply chain corresponding to economic and market factors.
- Improved customer satisfaction and loyalty through consistent quality and availability of the products across different regions
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.
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