EP333: How The Latest Technology Trends Are Reshaping Ecommerce Team Structures & Skills episode artwork

EPISODE · Mar 20, 2026 · 46 MIN

EP333: How The Latest Technology Trends Are Reshaping Ecommerce Team Structures & Skills

from Inside Commerce: Ecommerce Strategy, CX and Technology Podcast · host Paul Rogers and James Gurd

This week, we posed ourselves a challenge:To summarise how key ecommerce customer & technology trends like agentic commerce and AI product discovery are going to reshape ecommerce strategy, team structures & the expectations ecommerce business have of employee capabilities and partner skills.This episode covers our main observations and insights:Treat product data as a growth channel.Have AI-native product + engineering leadership.Run continuous experimentation with agents.Properly integrate marketing + data + tech.Ecommerce is seeing a step change from:Humans browsing sites, clicking ads & buying products.To:Multi-agent systems influencing discovery, comparison and to a lesser extent checkout. More discovery will take place outside the traditional website, and agents & LLMs guide shoppers through decision paths before handover to commerce endpoints (with the website remaining the primary destination).👉 This creates three major shifts that we explore in more detail:Discovery evolves from SEO → SEO + AEO (Answer Engine Optimisation); visibility depends on machine-readable product data as well as content.AI agents become a new type of shopper, and ecom platforms need API capabilities to facilitate 2-way data and logic flows; agents can compare, filter and decide based on structured data + trust signals.Commerce becomes API-first + autonomous; some purchases happen inside AI ecosystems (chat, assistants, agents) & there’s a need for seamless handoff between AI agents & conventional commerce.Find out how this is already having an impact on team structures and skill needs.

This week, we posed ourselves a challenge:To summarise how key ecommerce customer & technology trends like agentic commerce and AI product discovery are going to reshape ecommerce strategy, team structures & the expectations ecommerce business have of employee capabilities and partner skills.This episode covers our main observations and insights:Treat product data as a growth channel.Have AI-native product + engineering leadership.Run continuous experimentation with agents.Properly integrate marketing + data + tech.Ecommerce is seeing a step change from:Humans browsing sites, clicking ads & buying products.To:Multi-agent systems influencing discovery, comparison and to a lesser extent checkout. More discovery will take place outside the traditional website, and agents & LLMs guide shoppers through decision paths before handover to commerce endpoints (with the website remaining the primary destination).👉 This creates three major shifts that we explore in more detail:Discovery evolves from SEO → SEO + AEO (Answer Engine Optimisation); visibility depends on machine-readable product data as well as content.AI agents become a new type of shopper, and ecom platforms need API capabilities to facilitate 2-way data and logic flows; agents can compare, filter and decide based on structured data + trust signals.Commerce becomes API-first + autonomous; some purchases happen inside AI ecosystems (chat, assistants, agents) & there’s a need for seamless handoff between AI agents & conventional commerce.Find out how this is already having an impact on team structures and skill needs.

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EP333: How The Latest Technology Trends Are Reshaping Ecommerce Team Structures & Skills

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How long is this episode of Inside Commerce: Ecommerce Strategy, CX and Technology Podcast?

This episode is 46 minutes long.

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This episode was published on March 20, 2026.

What is this episode about?

This week, we posed ourselves a challenge:To summarise how key ecommerce customer & technology trends like agentic commerce and AI product discovery are going to reshape ecommerce strategy, team structures & the expectations ecommerce business have...

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