Agentic AI for Retailers: AI-Native Explains What Works and What Doesn't

"Just doing the obvious analysis with AI bots is something that every first-day-intern could do. And he will do it well. But how do your AI Agents become senior category managers or a senior pricing directors? That is the question you have to solve to step into the agentic era."

The Retail Podcast Behind the Click – with Zenline AI

In the latest episode of Behind the Click, Arber Sejdiji, CEO and co-founder of Zenline AI and Forbes 30 Under 30 honoree, explains why generic AI tools are not solving enterprises' questions, and what agentic AI systems built specifically for retail margins and workflows do differently.

A short summary of the podcast below:

1) Retail Category Management Today

Most category managers are still working with Excel, disconnected data across five departments, and assortment reviews that happen every 6 to 9 months at best. Meanwhile, a trend picks up on TikTok, peaks in six weeks, and disappears before the next quarterly review. By the time anyone in the business sees it, the opportunity is gone.

This is not a talent problem. Category managers know their business very, very well. The problem is that the tools they are using were never built to operate at the speed the market now demands or for a human managing millions of data points from different sources.

2) What Agentic AI does for Category Management

Zenline AI does not give category teams another chatbot. It builds AI agents that are trained on retailers' businesses: your company strategy, your margin logic, how you define substitutes and variants, or how your products relate to each other across 200 to 600 categories, and what metrics actually matter in each one.

A broader technical breakdown of how Zenline structures data to make this work — including why imperfect data is not a reason to wait — is in the podcast.

3) Why 90–95% of Retailers Cannot Build This Themselves

Agentic AI that works reliably for enterprises has only existed since late 2025. Beyond Amazon, Temu, or Shein, almost no retailer has the engineering capability to build and maintain these systems internally.

As Arber puts it: the core capability of a retailer is the brand and the distribution network. Building AI infrastructure is not. For years, retailers paid millions to consultancies to fix assortment and pricing challenges. AI agents will change that.


Listen to the Full Episode:

In this episode of Behind the Click, Arber Sejdiji goes deeper on how Zenline AI works in practice — and shares the one thing he tells every category manager and pricing lead to stop doing immediately.

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