×
Skip to main content
Loyola University Chicago AI Business Consortium
Housed in the Loyola Business Leadership Hub
Loyola University Chicago logo in header of site

Research

Research

The AI Business Consortium engages with our partners on individual and pooled research projects to build and launch commercially viable AI solutions in the form of joint ventures, technology transfers, and contributions to existing businesses. 

Some of the research areas currently being explored include: 

  • Automation of credit card disputes.
  • Fraud detection
  • Agile supply chains in consideration of disruptions (sense and response).
  • Aggregating real-time data from manufacturers to determine asset conditions and predict maintenance needs.
  • Customer demand predictions.
  • Food waste reduction and trace.
  • Labor optimization/automation.
  • Site selection.
  • Measurement/enhancement of marketing activities.
  • Humanizing the digital experience.
  • Applications in risk management.

Some of the technologies to be investigated include:

  • Computer vision for food safety, supply chain, etc.
  • Data-driven analytics and AI.
  • Modeling and methodologies.
  • Natural language processing.

The AI Business Consortium engages with our partners on individual and pooled research projects to build and launch commercially viable AI solutions in the form of joint ventures, technology transfers, and contributions to existing businesses. 

Some of the research areas currently being explored include: 

  • Automation of credit card disputes.
  • Fraud detection
  • Agile supply chains in consideration of disruptions (sense and response).
  • Aggregating real-time data from manufacturers to determine asset conditions and predict maintenance needs.
  • Customer demand predictions.
  • Food waste reduction and trace.
  • Labor optimization/automation.
  • Site selection.
  • Measurement/enhancement of marketing activities.
  • Humanizing the digital experience.
  • Applications in risk management.

Some of the technologies to be investigated include:

  • Computer vision for food safety, supply chain, etc.
  • Data-driven analytics and AI.
  • Modeling and methodologies.
  • Natural language processing.