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At Lightblue Cognitive Solutions, we build custom AI solutions across the following functional areas or domains. We have included a non-exhaustive list of AI use cases & applications to spark your thinking of the art of the possible.


Customer Relationship Management

  • Predictive Customer Behaviour Modelling: Forecasts customer actions for more effective targeting.
  • Customer Retention / Churn: AI predicts which customers are most likely to churn allowing for targeted intervention.
  • Digital Media Analytics.

Customer Experience Enhancement

  • AI-Powered Chatbots, Virtual Assistants & Intelligent Agents (Automatons)
  • Personalised Customer Interactions: AI analyses customer data to tailor interactions and offers.
  • Customer Experience Personalisation: AI tailors shopping experiences based on customer behaviour.
  • Customer and Contact Centre Support Agent Interaction Analytics
  • Customer Sentiment Analysis
  • Customer Refund Optimisation

Operational Efficiency Improvement

  • Intelligent Automation of Workflows, Documents and Process Optimisation
  • Predictive Maintenance for Equipment and System

Supply Chain Management

  • Demand Forecasting: AI predicts future demand for more efficient inventory management.
  • Inventory Management: AI forecasts demand to optimize stock levels.
  • Route Optimization: AI enhances logistics by finding the most efficient delivery routes.
  • Supplier Selection and Risk Management: AI aids in evaluating and monitoring suppliers for risk and compliance.

Advanced Data Analysis

  • Big Data Analytics and Insights Extraction
  • Real-Time Data Monitoring and Reporting
  • Predictive Analytics for Market Trends and Consumer Behaviour

Risk Management and Compliance

  • Fraud Detection and Anti-Money Laundering Solutions
  • Compliance Monitoring and Reporting Tools
  • Credit Scoring and Risk Assessment Models

Marketing and Sales Optimisation

  • Customer Lifetime Value Prediction: Estimating the future value of customer relationships
  • AI-Enhanced Customer Segmentation
  • Sales Forecasting and Revenue Prediction
  • Personalised Recommendation Systems
  • Automated Digital Marketing and Ad Targeting
  • Social Listening & Actioning
  • Dynamic Pricing Strategies: Using AI to optimize pricing in real-time based on market conditions.
  • Market Baset Analysis for cross, up and down sell.
  • AI-Powered Analytics for Market Research: Identifying trends, customer preferences, and market opportunities.
  • Finding Store Location

Human Resources

  • Task Automation: AI can automate integration to and the actioning of tasks e.g., sending of emails, creation of purchase orders, etc.
  • Talent Acquisition and Recruitment: AI streamlines the recruitment process by filtering and ranking candidates.
  • Employee Engagement and Retention Analysis: AI monitors and predicts employee engagement levels.
  • Performance Management: AI tools assist in assessing employee performance and development needs.

Finance & Accounting

  • AI for risk assessment, fraud detection, algorithmic trading.
  • Fraud Detection: AI identifies unusual patterns indicating fraudulent activities.
  • Automated Bookkeeping: AI handles repetitive tasks like data entry and invoice processing.
  • Risk Assessment and Management: AI evaluates financial risks and recommends mitigation strategies.

Education and Training

  • Employee Knowledge Augmentation: AI can provide natural language answers to all of your corporate knowledge repository questions.
  • Personalized Learning: AI customizes learning content to individual student needs.
  • Automated Assessment: AI tools assist in grading and providing feedback.
  • Predictive Analytics for Applicant and Student Performance: AI identifies applicants or students for selection and who may need additional support