Solutions by Industry
Lightblue Cognitive Solutions delivers solutions across the following respective industries. We have included a non exhaustive list of example use cases and / or applications of AI per industry to demonstrate the art of the possible.
Banking
Finance
- Algorithmic Trading: The use of algorithms to execute trades at high speed and volume based on predefined criteria.
- Investment Strategies: Plans and methods devised to allocate assets and manage risk to achieve financial goals.
- AI-Driven Financial Planning: The application of artificial intelligence to customize financial planning and advice.
- Advisory Services: Professional services providing strategic investment recommendations and financial planning advice.
- Loan Underwriting Automation: The use of automated systems to evaluate and process loan applications more efficiently.
Insurance
- Policy Schedule Ingestion: The process of digitally capturing and integrating policy details into an insurance system.
- Underwriting Automation: The application of technology to streamline the insurance underwriting process, enhancing efficiency and accuracy.
- Claims Automation: The use of automated systems to process insurance claims, reducing processing time and improving customer service.
Retail
- AI-Powered Analytics for Market Research: Leveraging AI to uncover trends, preferences, and opportunities in the market.
- Recommendation Engines: Systems that suggest products or services to users based on analysis of data.
- Basket Analysis: Analysing customer purchase histories to identify opportunities for cross-selling, up-selling, and down-selling.
- Customer Retention: Strategies and practices aimed at keeping customers engaged and continuing to purchase.
- Customer Lifetime Value Prediction: Estimating the total value a customer will bring to a business over their lifetime.
- Churn Prediction: Identifying customers at risk of discontinuing their use of a service.
- Demand Forecasting: Predicting future customer demand for products or services to optimize supply chain and inventory levels.
- Inventory Optimisation: Using data analysis and forecasting to maintain the ideal stock levels.
- Dynamic Pricing Strategies: Adjusting prices in real-time using AI, based on market demand, competition, and other factors.
- Finding Store Location: Analysing geographical and demographic data to select optimal locations for new stores.
Manufacturing
- Predictive Maintenance: AI predicts when machines require maintenance to prevent downtime.
- Quality Control: AI-driven image recognition for defect detection and quality assurance.
Healthcare
- AI in Diagnostic Imaging and Analysis: Employing artificial intelligence to enhance the accuracy and efficiency of medical imaging interpretation.
- Patient Data Management : Streamlining the organization and accessibility of patient information for healthcare providers.
- Predictive Health Analytics: Utilising data analysis to forecast health outcomes and inform preventative care strategies.
Human Resources & Talent Management
- AI-Based Recruitment and Candidate Screening: Leveraging artificial intelligence to streamline the identification and evaluation of potential candidates.
- Employee Performance Analytics: Analysing data to assess and improve employee performance and productivity.
- Automated Onboarding and Training Programs: Utilising automation to enhance the efficiency and effectiveness of employee onboarding and training processes.
Smart City &Infrastructure Management
- Traffic Flow Optimisation and Public Safety Solutions: Leverage AI to improve traffic management and enhance public safety measures.
- Energy Consumption Analysis and Optimisation: Analysing and optimising energy use to enhance efficiency and sustainability.
- Waste Management and Environmental Monitoring: Utilising technology to improve waste management practices and monitor environmental health.
