Zenline & Retail Insights

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.

Sejdiji in CEO Interview: Zenline Combines Retail and AI

Was Menschen in den Supermarktregalen in welcher Menge und zu welchen Preisen finden, ist natürlich kein Zufall – sondern eine eigene Wissenschaft.

trendingtopics.eu

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.

Expert Picks

Curated insights on retail, AI, and category strategy.

News & Press
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AI Agents in Retail
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AI‑Agent Revolution: Arber Sejdiji on How AI Will Reshape Global Industries

Since OpenAI and Anthropic made their chatbots available to the general public, AI is on everyone’s lips (or LinkedIn feed). Yet beyond chatbots lies the next evolutionary step: AI agents. Arber Sejdiji, CEO and co‑founder of Zenline AI gives Insights how AI-Agents will reshape global Industries.

www.founderstoday.news
Case Studies
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AI Agents in Retail
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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.

AI Agents in Retail
|
Category Management
|
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|

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 Studies
|
AI Agents in Retail
|
|
|

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.

AI Agents in Retail
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Category Management
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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.

Stay tuned!
Stay tuned!
AI Agents in Retail
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Category Management
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|

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.

AI Agents in Retail
|
Category Management
|
|
|

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.

Stay tuned!
News & Press
|
AI Agents in Retail
|
|
|

AI‑Agent Revolution: Arber Sejdiji on How AI Will Reshape Global Industries

Since OpenAI and Anthropic made their chatbots available to the general public, AI is on everyone’s lips (or LinkedIn feed). Yet beyond chatbots lies the next evolutionary step: AI agents. Arber Sejdiji, CEO and co‑founder of Zenline AI gives Insights how AI-Agents will reshape global Industries.

www.founderstoday.news
News & Press
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Zenline CEO "Every Retailer Will Need AI agents in the Future"

Zenlines CEO Arber Sejdiji discusses competition with Amazon and Temu. A conversation about why retailers in Europe should urgently switch to AI agents.

founded.ch
News & Press
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Featured in Hüsing's Startup Radar

Zenline at the latest edition of Startup Radar, the startup newsletter covering promising startups. A quick overview of the new startups: Zenline AI,

startupradar.com
News & Press
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IT Feature: AI-supported Assortment Optimization for Retail

In the dynamic world of retail, where quick decisions can determine success or failure, a new startup from Zurich is using artificial intelligence to revolutionize product range design.

it-boltwise.de
News & Press
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Sejdiji in CEO Interview: Zenline Combines Retail and AI

Was Menschen in den Supermarktregalen in welcher Menge und zu welchen Preisen finden, ist natürlich kein Zufall – sondern eine eigene Wissenschaft.

trendingtopics.eu
News & Press
|
|
|
|

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.

Case Studies
|
AI Agents in Retail
|
|
|

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.

Case Studies
|
AI Agents in Retail
|
|
|

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.

Stay tuned!

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