Driving Innovation


Rubiscape's Impact in the

Forecasting

Solutions build with Rubiscape

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



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.

Technique

  • 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.

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.

Technique

  • 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.

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.

Technique

  • 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

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.
 

Do even more with Rubiscape

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



Forecasting

Drag, Drop, Discover:
Insights Made Simple.

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

Learn More
Forecasting

Build, Deploy, Manage:
Streamline AI Workflow.

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

Learn More
Forecasting

Wrangle, Blend, Analyze:
Data Orchestration Refined.

Develop data fabric and flow designs with low-code, pro-code and self service platform.

Learn More
Forecasting

Manage, Evaluate, Automate:
Edge Analytics Seamless.

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

Learn More

Our Thinking...