EP369: Time-to-Insight - Faster Answers & Better Decisions Are The New Edge in Ecommerce

Agents Without the Hype: Where AI Fits in Your Ecommerce Team
with Henrik Hoffman, Co-founder & CMO, DEMA

You keep hearing that you need to “use AI agents.” What you rarely hear is where they go in your team, which work they should take on, and how they make your people better at their jobs instead of just busier. Henrik joins Paul and James to answer those questions, using real retailer examples.

Tl;dr: three reasons to listen:

1. See where agents fit in your team, and where your people still matter. You’ll get a practical picture of how ecommerce teams are being restructured. Some work moves to automations, workflows and agents. Other work still needs human judgement, and that’s where your team’s time and talent should go.
2. Get a rollout model you can actually copy. Hear how brands spread agents across the business by appointing an internal go-to expert who trains everyone else. You’ll also hear how they get buy-in for a change that is as much a shift in mindset as a line in the budget.
3. Hear how agents work in day-to-day operations. For example, Represent has embedded agents into its returns process and other teams have built DEMA into their weekly planning. Learn how they keep humans in charge and set a regular rhythm, so agents support the team’s priorities instead of working against them.

Also in this episode:

• Why the edge has moved from how you do things to how fast you get to an answer and act on it
• How to avoid choice paralysis and AI slop when you can suddenly do almost anything
• How this shift is changing DEMA’s product roadmap

Chapters:

[00:30] Why faster e-commerce decisions are becoming the edge[03:15] Turning reporting into action, not just slides[07:05] Avoiding AI slop and organisational rabbit holes[09:05] Agents as colleagues and the risk of misalignment[12:45] Bubble Room using separate agents for brand and performance[19:40] Applying AI to current processes first[23:25] Why teams want out of manual, repetitive work[26:10] Starting with small wins and saving 15 minutes a day[30:30] Competitor monitoring for peak trading periods[31:35] Represent and real-time returns modelling[35:20] Using historical data to validate models and assumptions[37:20] Black Friday planning lessons from Baby Shop Group[40:30] DEMA’s roadmap: measurement, agents, and business alignment[46:30] Using agents to model impact before changing targets