Driving Innovation


Rubiscape's Impact in the

Technology Team



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Feeling Pulse: Text Reveals Emotion

Decoding opinions, understanding trends, and driving better decisions with sentiment analysis.

Goal

  • To identify high-level topics in the dataset, providing an understanding of subscriber feedback and their performance over time.
  • To employ sentiment analysis on the verbatim responses associated with each identified topic to categorise sentiments as positive, neutral, or negative.
  • To determine sentiment variations across different areas.

Technique

  • Text Preprocessing, Topic Modelling, Sentiment Analysis, Time Series Visualization, Visualization.

Impact

  • Enable strategic decision-making by providing a clear understanding of the key topics in subscriber feedback.
  • Pinpoint specific areas to guide targeted efforts and enhance customer satisfaction.
  • Provide insights into subscriber opinions through verbatim sentiment analysis.

The Money Map: Unveiling Financial Health

Data-driven insights empower smarter decisions, optimize strategies, and unlock business growth.

Goal

  • To provide a clear and concise overview of an organization’s financial performance.
  • To enable stakeholders for monitoring key metrics.
  • To identify trends, make informed decisions and drive financial success.

Technique

  • Data Preparation, Financial Ratio Calculations, Trend Analysis, Visualization.

Impact

  • Improved Financial Planning and Budgeting
  • Identifying Financial Trends and Insights
  • Identifying key areas that are generating a return on investment and are losing money.

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

Watching Wisely: AI Detects Suspicious Activity

Early detection, faster response, enhanced safety with intelligent activity monitoring.

Goal

  • To detect any type of suspicious activity performed by a human.
  • To classify activity into its particular class for effecting an immediate necessary action.
  • To monitor high-level patterns of activity and identify early indicators.

Technique

  • Exploratory Data Analysis, Image pre-processing and augmentation, Object detection and Image classification algorithms, Visualization.

Impact

  • Quicker and better suspicious activity detection.
  • Creation of a safer environment for people.
  • Attention based system for a more aggressive detection.
  • Lesser Human Intervention.
 

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Drag, Drop, Discover:
Insights Made Simple.le

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

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Streamline AI Workflow.

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

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Data Orchestration Refined.

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

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Edge Analytics Seamless.

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

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