Praelexis Industries

There are many use cases for Artificial Intelligence (AI) in the financial services industry. Here are some ways in which financial services organisations might benefit from implementing AI:

• Tailored Services: Analysing client data we allow you to customise services to address specific financial needs, strengthening customer relationships.
• Personalised Recommendations: Our data-driven recommendation solutions enhance customer satisfaction, increase cross-selling opportunities, and drive revenue growth.
• Segmentation for Marketing: We help you foster higher engagement and loyalty by utilising customer data for segmentation to enable personalised marketing strategies.
• Customer Retention: Our probability scores solutions help you retain valuable customers by understanding loyalty patterns over time.
• Credit Score Models: We develop improved credit score models that lead to better lending decisions.
• Competitor Insights: Our automated comparison of competitors’ metrics solutions inform strategic choices, ensuring your competitiveness in a dynamic market.
• Cash Stock Forecasting: Our accurate forecasting solutions enable your effective liquidity management.

There are many use cases for Artificial Intelligence (AI) in the health sector. Some of the solutions we've crafted help our clients in the following ways:

• Data Lakehouse: A Data Lakehouse ensures more accurate data, leading to reliable insights for better decision-making. It also enhances overall data quality.
• Centralised data: By centralising data, we help you minimise the risk of errors and inconsistencies.
• Streamlined data management processes:  Less manual work is required due to streamlined data management processes which makes you more efficient. 
• Genetics Platform: Additionally, we’re responsible for implementing the genetics platform Intelligene.

Artificial Intelligence (AI) is often utilised in the retail sector. Here are some of the ways in which you could consider implementing AI in your retail organisation:

• Personalised Recommendations: Our data-driven recommendations enhance customer satisfaction, increase cross-selling opportunities, and drive revenue growth.
• Tailored Services: Through analysing client data we enable you to offer customised services to address specific needs, strengthening customer relationships.
• Archetypes for Insights: We cluster customer data into archetypes (e.g., “The Snacker,” “The Sinner,” and “The Basic Buyer”) and provide you with insights for targeted marketing campaigns, optimised product bundling, and effective discount strategies.
• Supply Chain Security: Our solution for real-time identification of suspicious supply chain events using security camera footage helps you prevent losses and ensures better inventory management.

Predictive Artificial Intelligence (AI) models have been used in the agricultural sector. Here is how Praelexis has utilised AI for optimising agricultural practices:

• Crop Yield Prediction: By combining internal harvest data, nutrition and protection program data, satellite imagery, and weather data, an algorithm provides precise predictions for the current season’s crop yield. This information helps farmers make informed decisions about resource allocation, planning, and optimising agricultural practices.
  
  

Artificial Intelligence (AI) can be implemented in parallel with telematics systems. Here are some of the ways we have combined AI and telematics:

• Fleet Management: Manage your fleet to optimise efficiency and reduce operating costs through managing driver behaviour, predictive maintenance, route optimisation, efficient resource allocation and AI helping enforce compliance with regulations by analysing data.
• Precise Detection: AI algorithms can accurately identify accidents, enabling timely responses.
• Automated Processes: When an accident is detected, relevant operational processes can be triggered automatically, minimising response time.