
Omni Talk Retail Confessions Of Supply Chain Executives | The Agentic AI Wake Up Call
Mar 9, 2026
Aadil Kazmi, Head of AI Product Development at Infios, explains agentic AI in commerce. Omar Akilah, SVP of Product at Infios, brings retail supply chain strategy and execution expertise. They debate agentic versus generative AI. They focus on supply chain execution, autonomous order visibility, quick operational wins, ROI timing, readiness without perfect data, and paths to adopt agentic AI.
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Apply Agents Across The Entire Commerce Value Chain
- Apply agentic AI across the full value chain, not just customer-facing features.
- Aadil points to product discovery in ChatGPT and order-fulfillment forecasting as immediate areas agents already enable.
Start Agentic AI With Strategic Operational Problems
- Anchor agentic projects to strategic problems like labor volatility, carrier management, or order routing.
- Omar Akilah urges focusing on execution: booking orders, rerouting shipments, and automating repetitive tasks that free staff for decisions.
Supply Chain Execution Is A Prime Agentic Use Case
- Supply chain execution is the prime fit for agentic AI because it's volatile, multi-party, and action-heavy.
- Aadil illustrates with order lifecycle: agents can detect delayed drivers then reroute inventory or notify shoppers automatically.
