ecommerce_ops · workflow
Trendyol scales AI and agentic workflows across 200 teams using n8n: seller chatbot, legal AI, and search relevancy agent
Trendyol's 2,000-person technology org had far more demand for new tooling and automation than engineering time could absorb — even small tasks rarely made the product roadmap. Non-technical teams had backlogs with no independent way to act on them.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Seller asks chatbot question
Sellers ask questions such as 'what's my revenue over the last seven days?' inside the existing seller panel.
Tools used
n8nRAGLLMs
Outcome
In under a year n8n grew from one developer's local POC to over 1,000 active users, 700 active workflows in production, and roughly half a million executions per quarter across 200 team-scoped projects.
Results
Time savedthe real benefit here is the time saved for our developers
Volumemore than 1,000
Running sinceJune 2025
Grounding & classification
Source type: vendor customer story
41 fields verified against source quotes.
agentic workflowanomaly detectionchatbotconversational airagknowledge baseproduct catalogsupport tickethuman review describedmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedecommerceautomation ratecycle time reductionemployee productivitythroughput increasevendor customer storyback office opscustomer supportecommerce opslegal opsquality assuranceagentic task executionextract classify routemonitor detect alertrag answering