• Skip to main content
  • Skip to footer
Knowledge center for the Texas A&M University Industrial Distribution Program

Read Center for Distribution Research & Education

Texas A&M Engineering Experiment Station

  • About Us
    • Message From Our Director
    • Leadership Team
    • Contact Us
  • Events
    • AI Symposium
  • Industry Consortia
    • AI4ID Consortium
  • Talent Incubator Program
  • Continuing Education
    • Pricing Optimization
    • Distribution Manager Development Program
    • Supplier Optimization
    • Optimizing Distributor Profitability
    • Optimizing Channel Compensation
You are here: Home / Industry Consortia / AI4ID Consortium

AI4ID Consortium

AI4ID Consortium

Artificial Intelligence for Industrial Distribution

The AI4ID Consortium brings together industry partners, faculty, and graduate researchers at the Texas A&M Read Center to explore practical AI applications in the distribution industry. We help companies understand AI, identify high value use cases, and test prototype solutions that support real business needs.

Learn About Our Work Join the Consortium

AI4ID Partner Summit

May 21st, 2026 – Texas A&M University

This exclusive summit brings together our industry partners and researchers to review current prototype progress, share insights from recent AI use cases, and define the consortium’s roadmap for the coming year.

The summit will feature keynote discussions, interactive group exercises, prototype demonstrations, and executive networking opportunities centered on real-world business challenges. Attendees will gain insight into emerging AI capabilities, implementation strategies, operational risks, and how organizations can successfully integrate AI into their long-term business strategy.

 

AI4ID_LOGO_TRANSPARENT

Industry Voices & AI Pioneers

Speaker Name

Robert Gaspard

Sales Enablement Manager

SRS Distribution

Speaker Name

Karthic Madanagopal

Senior AI Scientist

Thomson Reuters

Program Overview

08:00 – 08:30 AM
Networking Breakfast
08:30 – 08:45 AM
Welcome & Opening Remarks
08:45 – 09:00 AM
From the CEO’s Chair: One Leader’s AI Journey in Distribution
09:00 – 09:40 AM
Group Exercise: Build vs. Buy AI – Making the Right Call
09:40 – 10:00 AM
Group Exercise Insights
10:00 – 10:20 AM
Executive Networking Break
10:20 – 11:00 AM
Delivering AI: Prototypes Built for Your Business
11:00 – 12:00 PM
AI: Predictive Insights That Drive More Revenue and Operational Efficiency
Robert Gaspard, SRS Distribution Inc.
12:00 – 01:00 PM
Lunch – University Club
01:00 – 01:20 PM
AI in Action: Build vs. Buy from the Data Team
01:20 – 02:30 PM
When AI Gets It Wrong: Risks, Hallucinations & What to Do About It
Karthic Madanagopal ‘09 ‘14 ‘23, Thomson Reuters
02:30 – 02:50 PM
Make the Connection: Networking & Conversations
02:50 – 03:00 PM
Final Remarks & Thank You

 

 
 
 

What is AI4ID

AI4ID stands for Artificial Intelligence for Industrial Distribution. It is a research consortium led by the Texas A&M Read Center that works with distribution companies to understand how AI can improve their operations.

The consortium focuses on turning AI from a buzzword into something concrete and useful. We help our members explore real use cases in areas such as logistics, pricing, inventory management, document processing, and customer service.

AI4ID Consortium

Why AI for Distribution

Distributors work with large amounts of data, complex product catalogs, and fast moving customer expectations. Many processes still depend on spreadsheets, manual data entry, and individual experience. AI can help distributors:

AI4ID Consortium

Automate repetitive tasks

AI4ID Consortium

Improve forecasting and decision making

AI4ID Consortium

Enchance customer experience and personalization

AI4ID Consortium

Support employees with better tools instead of replacing them

What We Work On

Distributors work with large amounts of data, complex product catalogs, and fast moving customer expectations. Many processes still depend on spreadsheets, manual data entry, and individual experience. AI can help distributors:

AI Literacy and Training

We design and deliver AI literacy sessions for executives, managers, and technical teams. The goal is to build a shared language and realistic expectations about what AI can and cannot do.

Use Case Identification

We work with each member company to map their processes, pain points, and data assets. Together we identify high value AI opportunities that fit their current systems and resources.

Prototype Development

We build small, focused AI prototypes that show how AI can support real distribution workflows, from logistics planning to finance and document processing.

Data and Systems Readiness

We help members understand the state of their data and systems, and what is needed to move from a prototype into a scalable solution.

Our Multidisciplinary Team 

Leadership: 

AI4ID Consortium

Dr. Malini Natarajarathinam

Director, READ Center  

View Profile
AI4ID Consortium

Dr. Lee Allison

Professor, Engineering Technology and Industrial Distribution        

View Profile

Supporting Scholars: 

profile_dr_ekin

Dr. Sabit Ekin

Director, Generative AI Literacy Initiative, TAMIDS

View Profile
AI4ID Consortium

Jay Johnson

Senior Lecturer, Engineering Technology and Industrial Distribution        

View Profile
AI4ID Consortium

Dr. Eman Hammad

Director: iSTAR Lab, innovations in Systems’ Trust and Resilience        

View Profile

Graduate Assistants:

AI4ID Consortium

Manuel G. Moran

AI Graduate Researcher, Solutions Architect 

View Profile
AI4ID Consortium

Anirban Roy Chowdhury

AI Graduate Researcher, Solutions Architect 

View Profile
Icon label

Value to Industry Partners

AI Literacy

Data Literacy

Critical Thinking & Verification

Problem Framing

Creativity & Innovation

Ethics & Responsibility

Collaboration & Communication

Current Members

HOOVERCS_1_3
AI4ID Consortium
AI4ID Consortium
AI4ID Consortium
AI4ID Consortium

Contact Information

If your company is interested in learning more about the AI4ID Consortium or exploring membership, please reach out to us.

AI4ID Consortium

Dr. Malini Natarajarathinam

Director, READ Center

[email protected]
AI4ID Consortium

Dr. Lee Allison

Professor, Engineering Technology and Industrial Distribution        

[email protected]

Footer

Thomas & Joan Read Center for Distribution Research and Education

Texas A&M Engineering Experiment Station

Texas A&M University College of Engineering

Connect with Read Center: link: Thomas and Joan Read Center LinkedIn page

Copyright © 2026 · Texas A&M Engineering Experiment Station · All Rights Reserved