Solutions by Function

At Lightblue Cognitive Solutions, we build custom AI solutions across various functional areas.

Education and Training

  • Employee Knowledge Augmentation: AI can provide natural language answers to all of your corporate knowledge repository questions.
  • Personalised Learning: AI customises 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

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: Digital media analytics in relation to Customer Relationship Management (CRM) involves the systematic analysis and interpretation of data generated from digital media platforms to understand customer behaviour, preferences, and engagement.

Customer Experience Management

  • 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: AI can analyse lengthy interactions and extract a myriad of insights.
  • Customer Sentiment Analysis: AI can be used to determine the mood or emotion of a customer interaction.
  • Customer Refund Optimisation: AI is used to minimise the average refund without impacting CSAT.

Operational Efficiency Management

  • Intelligent Automation: AI can automate Workflows, Documents and Processes.
  • Predictive Maintenance: AI can be used to analyse machine logs to mitigate downtime.

Supply Chain Management

  • Demand Forecasting: AI predicts future demand for more efficient inventory management.
  • Inventory Management: AI forecasts demand to optimize stock levels.
  • Route Optimisation: 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.

Big Data & Advanced Data Analytics

  • Big Data Analytics and Insights Extraction: Analysing large datasets to extract valuable insights and inform decision-making.
  • Real-Time Data Monitoring and Reporting: Continuously tracking data and providing up-to-date reports.
  • Predictive Analytics for Market Trends and Consumer Behaviour: Forecasting market trends and consumer behaviour using advanced predictive models.

Risk Management and Compliance

  • Fraud Detection and Anti-Money Laundering Solutions: Utilising advanced technologies to identify and prevent fraudulent activities and money laundering.
  • Compliance Monitoring and Reporting Tools: Ensuring adherence to regulatory requirements through automated monitoring and reporting.
  • Credit Scoring and Risk Assessment Models: Evaluating creditworthiness and assessing financial risk using predictive models.

Marketing and Sales Optimisation

  • Customer Lifetime Value Prediction: Estimating the future value of customer relationships.
  • AI-Enhanced Customer Segmentation: Utilising artificial intelligence to categorise customers into distinct groups.
  • Sales Forecasting and Revenue Prediction: Projecting future sales and revenue based on historical data and trends.
  • Personalised Recommendation Systems: Offering tailored product or service suggestions to customers.
  • Automated Digital Marketing and Ad Targeting: Leveraging AI to automate and optimize online marketing campaigns.
  • Social Listening & Actioning: Monitoring social media for brand mentions and taking appropriate actions.
  • Dynamic Pricing Strategies: Using AI to optimize pricing in real-time based on market conditions.
  • Market Basket Analysis for Cross, Up, and Down Sell: Analysing purchase patterns to recommend related products.
  • AI-Powered Analytics for Market Research: Identifying trends, customer preferences, and market opportunities.
  • Finding Store Location: Using data analytics to determine the optimal location for new stores.

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

  • Algorithmic trading: AI to help predict when to buy and sell the market.
  • 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.