Can Retailers Continue to Successfully Manage their Assortments without AI?

25.09.25 - Retail Webinar: KI-Agenten für Sortiments- & Margenoptimierung in Minuten

Case Study: Cleaning 500k+ SKUs of Electronics Data

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

What Data Does Zenline Use?

Zenline uses internal and external data for real-time assortment optimization. Learn how our AI works with incomplete data to drive better retail decisions.

Case Study: Finding Private Label Substitutes in Face Creams (Cosmetics)

We identified true substitutes in face creams by analyzing images, names, descriptions, and attributes, correcting over 50% missing links and 35% wrong pairs and auto-populating substitute modules.

What Zenline's AI Agents Do

Zenline’s AI agents support assortment decisions with margin insights, pricing logic and product signals. Learn how retailers use AI for category planning.

The Founding Story of Zenline AI

The Founding Story of Zenline AI. Discover how Zenline AI was founded to help retailers make better assortment decisions – with AI agents built for category teams in a changing market.