Driving Innovation
Rubiscape's Impact in the
Procurement Team
Solutions build with Rubiscape
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Foresight Action: Demand Sensing Controls!
Predict the future, optimize inventory, and maximize profits with real-time demand insights.
Goal
- Implement Demand Sensing: Enhance forecast accuracy for FMCG operations.
- Optimize Operations: Minimize costs and boost customer satisfaction.
- Strategic Decision-making: Utilize data-driven insights for resilience and competitive marketing alignment.
- Implement Demand Sensing: Enhance forecast accuracy for FMCG operations.
- Optimize Operations: Minimize costs and boost customer satisfaction.
- Strategic Decision-making: Utilize data-driven insights for resilience and competitive marketing alignment.
Technique
- Statistical Analysis, Time Series Forecasting, Visualization.
- Statistical Analysis, Time Series Forecasting, Visualization.
Impact
- To aid the FMCG companies to reduce stockouts and excess inventory with enhanced predictive capabilities.
- Optimize manufacturing resources by aligning production with real-time demand signals.
- Quickly adapt to market changes through actionable insights, fostering operational flexibility.
- To aid the FMCG companies to reduce stockouts and excess inventory with enhanced predictive capabilities.
- Optimize manufacturing resources by aligning production with real-time demand signals.
- Quickly adapt to market changes through actionable insights, fostering operational flexibility.
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.
See-Through Repairs: AI Detects Damage
Pinpoint defects faster, save costs, and optimize production with intelligent damage detection.
Goal
- To identify and classify damages such as scratches, dents or cracks in vehicles.
- To allow early identification of damages and timely maintenance interventions.
- To enable automated and accurate inspections for insurance claims.
- To identify and classify damages such as scratches, dents or cracks in vehicles.
- To allow early identification of damages and timely maintenance interventions.
- To enable automated and accurate inspections for insurance claims.
Technique
- Image augmentation, Image processing, Image classification, Object detection, Visualization.
- Image augmentation, Image processing, Image classification, Object detection, Visualization.
Impact
- Accelerated claims processing, reducing delays and administrative burden.
- Reduced post-purchase repair costs, to enhance ownership experience.
- Enhanced brand image, to attract and retain customers.
- Boosted customer satisfaction and loyalty.
- Accelerated claims processing, reducing delays and administrative burden.
- Reduced post-purchase repair costs, to enhance ownership experience.
- Enhanced brand image, to attract and retain customers.
- Boosted customer satisfaction and loyalty.
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.
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