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About us

Zalando Tech Hub in Dortmund was founded in 2012 as the first satellite office outside of Berlin. Zalando SE grew from a small team of few developers and product managers working on Campaign and Media Planning, Market Analysis and Payments solutions in scope of responsibilities over the years. Zalando Payments GmbH was officially founded in 2016 and opened its Dortmund office as part of the Dortmund Tech Hub in the same year.
Zalando SE & Zalando Payments GmbH continuously add new areas of competency, with teams now focused on the tech challenges connected to business-critical topics.

If you’d like to know more about what we do at Zalando Tech.

• Visit our tech blog (https://engineering.zalando.com) for more info on Zalando's tech operations and team.

• Follow us on Linkedin & Instagram

https://www.linkedin.com/company/zalando

https://www.instagram.com/insidezalando/

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Want to join us? Take a look at our careers page: https://jobs.zalando.com/

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Transforming E-Commerce Logistics

Transforming E-Commerce Logistics

Zalando SE, Freie-Vogel-Str. 387, 44269 Dortmund, Dortmund, DE

Transforming E-Commerce Logistics: Automating Article Onboarding with Generative AI

As part of Digitale Woche, we are opening our doors for our next on-site meetup!

About the Event 📌

Scaling e-commerce operations requires smart automation. At Zalando, manually classifying new partner products into "Commodity Groups" created a massive bottleneck, costing roughly $0.10 per review with an 84-hour average turnaround. ⏳

To solve this, we architected an AI-powered image and text processing pipeline powered by multimodal generative AI (Gemini 2.5 Flash). Today, 95% of articles are reviewed automatically in seconds, with only 5% requiring manual handling, scaling to 400 reviews per minute while cutting costs by 97%! ⚡

Join us for a look at how we safely transitioned from a manual bottleneck to production-scale AI automation without disrupting live operations. 🤖

What We Will Cover 🔍

🧠 Prompt Engineering for Real World Data: How we used "Visual Confirmation" and "Functional Redirects" to eliminate AI hallucinations on article categorization.

🛡️ De-risking AI Deployments: Implementing a parallel "Shadow Mode" to prove accuracy against human benchmarks before giving the AI decision authority.

⚙️ Smart Queue Architectures: Building a two-stage status system to eliminate race conditions between AI processors and human reviewers.

📈 Lessons from Scaling: Practical key takeaways for applying enterprise AI to supply chain and logistics processes.

Who Should Attend? 👥

Tech enthusiasts, software architects, product managers, and leaders looking to move AI projects out of the lab and into high-volume production. 💬
Bring your questions and join the discussion! 🙌

We look forward to seeing you there!
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