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The Retail Innovation Symposium: Rethinking the AI-Enabled Enterprise

AI no longer just assists. It reasons, decides, and acts.

November 9, 2026
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COLUMBIA BUSINESS SCHOOL, NEW YORK
What happens to retail decisions, careers, and organizations when AI takes on more of the work? Join Impact Analytics and Columbia Business School for an afternoon with the leaders shaping that future.
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Speakers

Prashant Agrawal
Founder & CEO
Impact Analytics
Omar Besbes
Professor of Business
Columbia University
Melanie Brucks
Associate Professor of Marketing
Columbia University
Julia Cancro
GTM
OpenAI
Oliver Chen
Managing Director - Retail
Cowen and Company
Adam Elmachtoub
Associate Professor
Columbia University
Juan Francisco Hernandez
Sr. Director of Pricing and Inventory Optimization
Foot Locker
Johan Hoover
SVP Merchandise Planning & Allocation
Arhaus
Kinshuk Jerath
Professor of Business, Marketing
Columbia Business School
Vidya Nagarajan
Director of Product Management
Google
Doug Rahden
Director of Artificial Intelligence
Bealls
Seth Schumacher
Senior Director of Demand & Store Planning
Signet Jewelers

What We’ll Discuss

A Year Into AI, What's Actually Working in Retail?
Leaders from Impact Analytics customer organizations share candid perspectives on where AI is paying off today and where reality has not matched expectations.
From AI Tools to AI Teammates
A short perspective on how enterprise AI is evolving from tools that help people work faster to systems that sense, reason, recommend, decide, and act.
Where Should AI Be Allowed to Decide?
Work through real retail decisions, pricing, promotions, forecasting, inventory, allocation, replenishment, and assortment, and determine where AI should advise, recommend, or act on its own.
The Human Operating System
As AI takes on more analysis and routine execution, examine what becomes more valuable for people to spend their time on instead.
What Would You Build Differently Today?
Design a retailer from a blank sheet of paper, with no legacy systems, workflows, or org charts to work around.
The Next Generation Challenge
Students and industry leaders tackle a hard question together: how do you build judgment and expertise when AI already knows the answer?

Schedule

The Agenda

Two thought leadership panels on AI in retail, networking, and a faculty and industry exchange. Lunch will be served.

November 9, 2026 12:30 – 3:45 PM ET Columbia Business School, NYC
  1. 12:30 PM5 min
    Opening Remarks

    Welcome and Opening Remarks

    Opening remarks from Kinshuk Jerath

    Kinshuk Jerath View on LinkedIn
  2. 12:35 PM40 min
    Thought Leadership Panel

    AI in Retail: What’s Actually Working?

    Speakers Prashant Agrawal (moderator)

    Retail and business leaders will share candid perspectives from the front lines of AI implementation. We will explore where AI is creating measurable value, what has moved successfully into production, where reality has fallen short of expectations, how employees are responding, and what leaders have learned that is changing their priorities for 2027.

  3. 1:15 PM40 min
    Thought Leadership Panel

    Redesigning the Retail Enterprise for AI

    Speakers Kinshuk Jerath (moderator), Vidya Nagarajan, Oliver Chen

    AI will change more than technology. It will change work itself. Retail industry leaders and Columbia faculty discuss how AI will reshape roles, workflows, decision-making, leadership, and the skills organizations need.

  4. 1:55 PM35 min
    Meet and Greet

    Student, Alumni, Faculty + Industry Meet & Greet

    Connect over coffee with executives implementing AI inside major businesses, Columbia faculty studying its impact, alumni, and students preparing to enter an increasingly AI-enabled workplace. This student-focused networking session invites participants to exchange perspectives on emerging careers, changing roles, the skills employers will value, and what it will take to lead in the next era of business.

  5. 2:30 PM65 min
    Featured Session

    Columbia Faculty + Industry Exchange

    Three Columbia faculty members will give short presentations on emerging retail research and its direct implications for business, followed by Q&A.

    • Digital Twins as Funhouse Mirrors Prof. Melanie Brucks (Columbia Business School)

      Prof. Brucks will present her research evaluating large language model-based digital twins designed to simulate human participants, and will highlight five systematic distortions—stereotyping, insufficient individuation, representation bias, ideological bias, and reduced variance. As digital twins are being increasingly used in market and policy research, Prof. Brucks will discuss where industry needs to be cautious and where the opportunities lie.

    • What Is Your AI Agent Buying? Prof. Omar Besbes (Columbia Business School)

      Retailing is at the cusp of being transformed by autonomous AI agents, who can view, evaluate and choose products on behalf of consumers. Prof. Besbes will present his research showing that AI agents show some of the same “cognitive” biases as humans do, and how simple seller-side tweaks can drive significant gains in market share.

    • AI in Operational Decisions Prof. Adam Elmachtoub (Columbia Engineering) (yet to be confirmed)

      Prof. Elmachtoub will present his research on how AI could transform forecasting, logistics, inventory, supply chain, and other complex business decisions.

  6. 3:35 PM10 min
    Closing Remarks

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The Retail Innovation Symposium: Rethinking the AI-Enabled Enterprise

AI no longer just assists. It reasons, decides, and acts.
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COLUMBIA BUSINESS SCHOOL, NEW YORK
Still Have Questions for Our Team?

What's Actually Working?

Hear directly from retail leaders putting AI to work: what has moved from pilot to production, where they’re seeing value, and what they would do differently today.

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What Happens to Work?

As AI takes on more analysis and execution, the roles of analysts, planners, and leaders change too. Which human capabilities become more valuable?

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What Stays Human?

AI may own speed, scale, and prediction. Humans must own direction, judgment, accountability, and purpose. Where should that boundary sit?

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