Arber Sejdiji talking about AI Agents in Retail, why he bets on retail, and the biggest risk for enterprises right now. Click to listen in!

What an AI-native startup playbook actually means when your users are buyers, merchandisers, and pricing teams.

What does it take to build a shop-worthy assortment in 2025? Here is what Arber told the room at Swiss Retail Day. Click to read

Click to review the summary or watch the whole webinar with ECR CatManNetwork, GS1 and Zenline on how purpose-built AI Agents help Category Teams move from data to better commercial decisions.

Chris Walton, President & CEO of Omni Talk Retail, about AI agents in retail from Zenline AI

Albertsons Companies reported a gross margin rate of 27.4% in Q3 fiscal 2025. The company's reporting attributed the compression to two primary factors:

Walmart itself has highlighted as evidence that AI-assisted discovery is already converting into measurable commercial outcomes.

For retail executives, the more useful takeaway: The translation layer, from customer data to assortment quality to commercial outcome, is where ...

What an AI-native startup playbook actually means when your users are buyers, merchandisers, and pricing teams.

Click to review the summary or watch the whole webinar with ECR CatManNetwork, GS1 and Zenline on how purpose-built AI Agents help Category Teams move from data to better commercial decisions.

Many AI projects stall at pilot stage. Why do so few deliver real business impact? Recent surveys show that, while many (ca. 80%) companies are already using AI, the actual P&L has been elusive, with about 10% of companies agreeing to have unlocked significant value.

The retailer deployed Zenline's Margin Agent across its living room and bedroom categories, approximately 3,200 SKUs, to run continuous velocity monitoring against category-adjusted benchmarks.

Zenline's Substitutes Agent analysed the full dairy range, approximately 1,400 active SKUs, to build a complete national brand / private label equivalence map based on the attributes that actually drive shopper substitutability

Most markdown problems aren't a demand problem, they're an overlap problem. How one European retailer turned pre-season planning into a precision allocation decision.

Zenline’s Data Cleaning Agent fixed brand and color errors and enriched attributes across 500k+ electronics SKUs using online data only.