The Agile Brand with Greg Kihlström®: Episode #768

Guest: Eugene Amigud, Chief Innovation Officer at Infios
Title: Use-Case Driven Success with AI
Date: November 14, 2025

Episode Overview

This episode focuses on how AI is revolutionizing the retail and supply chain landscape by creating new shopping experiences and operational efficiencies. Greg Kihlström and Eugene Amigud discuss the practical impacts of AI in omnichannel retailing, the explosion of digital channels, supply chain complexities, and the crucial role of use-case driven AI adoption. The conversation provides actionable insight into how brands can prepare for the evolving consumer journey, leverage emerging technologies without losing brand connection, and implement agile, modular strategies for long-term business value.

Key Discussion Points & Insights

1. Evolution of the Shopping Experience through AI

[03:16-06:02]

• From Brick-and-Mortar to Infinite Channels:
  Eugene outlines the history: brick-and-mortar, e-commerce, COVID-19 acceleration, and now AI-driven disruption.

  • COVID was a "recent major disruption" that forced retailers to enable online shopping and complex fulfillment.
  • AI's next wave will mean "you may not even come to the website at all," buying via a multitude of AI intermediaries.

• Explosion of Digital Channels:

  • AI introduces "almost infinite number of channels"—not just owned websites or apps, but third-party platforms, bots, and conversational commerce.
  • Brands have to rethink inventory management, data distribution, and product education for new channel architectures.

Notable Quote:

“To me… what’s very interesting and not too many people talking about is this: AI will introduce almost infinite number of channels. Because really, I don’t need to go to the website to buy it anymore…”
— Eugene Amigud [04:34]

2. Omnichannel Versus Human Connection

[06:02-09:41]

• Infinite Options vs. Brand Relationships:
  Greg asks if AI will depersonalize shopping by removing brand touchpoints.

• AI as a Personalization Enabler:
  Eugene explains brands can harness AI to become "very prescriptive" and hyper-personalized, e.g., knowing a customer's region, weather, critical event dates (like Halloween), and adjusting fulfillment suggestions or warnings proactively.

  • Brands must ensure their content is accessible across new AI-driven channels.

Notable Quote:

“In this kind of less personalized world, if you will, there's actually an opportunity to get closer to the customer... I can be very accurate, and... very prescriptive of how do I fulfill the items for you.”
— Eugene Amigud [08:08]

3. Supply Chain Complexity and AI-Driven Opportunities

[13:07–16:46]

• Rising Complexity & Expectations:
  The supply chain is a boardroom priority post-COVID—with new disruptions: tariffs, labor shortages, port closures, and rising consumer/B2B expectations (think: the "Amazon effect").

• AI as an Orchestrator:

  • AI helps brands shift from reactive to proactive supply chain management: e.g., rerouting around disruptions, recalculating promises, adapting inventory and shipping strategies in real time.
  • The power lies in "purposeful innovation": aligning tech directly to business use cases.

Notable Quote:

"Now with the kind of power of AI, you can actually start reacting, not just being reactive, but... proactive... There's so much opportunity for those who will kind of jump on that bandwagon, right, in a very purposeful way."
— Eugene Amigud [14:35]

4. Organizational Adaptation Beyond Technology

[17:28-21:57]

• From Monoliths to Modular, Function-Driven Change:

  • The biggest innovation is organizational: shifting from buying software for each new need, to breaking down needs by function and reconstructing business processes in modular, agile ways.
  • Success comes from rapid deployment ("30 to 60 days") of targeted solutions, not "two year plans"—enabling quicker ROI and business alignment.

• Business Objective First, Tech Second:

  • Example: Board sets strategic goal to reach 50% digital sales; success is driven by aligning all departments/functions around that aim, not just adding inventory or warehouses.

Notable Quote:

“Forget about the software altogether, figure out the business needs and objectives and start realizing it through aligning with the tech side… it’s a delivery of a function…”
— Eugene Amigud [18:05]

5. The Central Role—and Challenge—of Data in AI

[21:57–25:44]

• Foundational Importance:

  • "Supply chain cannot function without the data," says Eugene. Data is the "most basic foundational block."
  • Key challenges: Governance, privacy, data silos, legal differences between regions (EU vs. US), and ethical usage.

• Unlocking Data with AI:

  • AI finally enables companies to use their collected data effectively, e.g., for proactive service, granular personalization, and smoother orchestration.
  • Example: Proactively updating a customer about a delay (“eight hours later than expected”) via an agentic bot, using complete order and behavioral data.

• Security by Design:

  • Infios’ AI Console brings together innovation and CISOs to build privacy and security into all AI initiatives from the ground up.

Notable Quote:

“We’ve been always saying for the last 20 years that data is everything. And to be frank, we couldn’t always use the data... AI allows you to unlock the data.”
— Eugene Amigud [23:04]

6. Use-Case Driven AI Adoption & Predictive Analytics

[25:44–30:06]

• The Use-Case Philosophy:

  • Avoid a "hammer and nail" approach (using GenAI for everything).
  • Each AI method suits specific contexts:
    • Optimizers (AI-based algorithms) for pick-path in warehouses.
    • GenAI for automated, conversational problem-solving (e.g., agentic bots updating about late deliveries).
    • Predictive Analytics for demand forecasting and inventory allocation.

• Minimize “Hallucination”:

  • For mission-critical tasks (e.g., inventory, real-time fulfillment), traditional algorithms are more reliable; GenAI’s flexibility is better reserved for less-risky, conversational use cases.

Notable Quotes:

"To me... it's all use case driven. If you have a hammer, everything becomes a nail. That's probably not the right approach."
— Eugene Amigud [26:26]

"...the power there is: you need a comprehensive platform around AI... but then you need to be laser focused on enabling specific use cases..."
— Eugene Amigud [29:09]

7. Staying Agile as an Innovator

[30:06–31:17]

• Personal Approach:
  • Eugene balances hands-on exploration (building bots, attending conferences) with a sharp focus on industry trends and practical customer needs.
  • Stresses the need to treat innovation as a “tool” to address genuine business challenges—staying focused and constrained avoids hype and distractions.

Notable Quote:

“...to me, AI and innovation is just a tool to get what our customers, what business requires. And so that kind of almost helps me to...stay in somewhat constrained but also focused on what I do.”
— Eugene Amigud [30:41]

Memorable Moments & Quotes

• Explosion of Digital Shopping Channels:
  “AI will introduce almost infinite number of channels.”
  — [04:34]

• Potential for Deeper Personalization:
  “In this kind of less personalized world, there's actually an opportunity to get closer to the customer.”
  — [08:08]

• AI as Supply Chain Orchestrator:
  “Now with the power of AI, you can actually start... being proactive... so much opportunity for those who will... jump on that bandwagon, in a very purposeful way.”
  — [14:35]

• Data as Enabler:
  “AI allows you to unlock the data… changing the paradigm, how I interact with the customer.”
  — [23:04]

• Purposeful, Not Blanket AI Adoption:
  “You need to be laser focused on enabling specific use cases... Instead of blowing it up saying, hey, now everything I do is through GenAI...”
  — [29:09]

Timestamps for Key Segments

• Infios Overview, Role, and Supply Chain Focus: [01:56–02:46]
• How AI is Evolving Shopping & Channels: [03:16–06:02]
• Balancing Omnichannel with Brand Connection: [06:02–09:41]
• Supply Chain Complexity & AI Opportunities: [13:07–16:46]
• Organizational & Modular Transformation: [17:28–21:57]
• Data, Privacy, and AI: [21:57–25:44]
• Predictive Analytics and Use-Case Focus: [25:44–30:06]
• Staying Agile as an Innovator: [30:06–31:17]

Conclusion

Eugene Amigud emphasizes that true success with AI in retail and supply chain isn’t just about chasing the latest technology hype. It requires deep alignment with business goals, a modular agile approach to process and tech, and unwavering focus on use-case specificity and customer value. AI has the potential to both multiply complexity and enable breakthrough agility—but only if anchored in clear, ethical, and strategic execution.