Trendyol runs a seller chatbot, a legal AI assistant in Slack, and a search relevancy agent on n8n. The seller chatbot routes questions through an intent-classifying orchestrator to about ten n8n workflows and is live to roughly 10% of 300,000 sellers; n8n reports 700 active production workflows.
Reported outcomes
Outcomes are reported exactly as stated by the source; we have not independently audited them.
How it works
- Seller chatbot orchestrator classifies intent and calls n8n workflows (e.g., revenue over last seven days).
- Legal bot uses RAG over internal legal docs; legal team validates answers.
- Search relevancy agent scores the first 40 results for low-CTR queries in four storefronts.
Risks & compliance
- Incorrect analytics answers to sellers
- Legal answers need human validation
- Vendor-published
Editor's notes
- Seller chatbot is in partial rollout, so status is recorded as pilot.
Tools mentioned & how to build it
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Tools mentioned
- n8n (n8n)
Open-source workflow automation with AI agent nodes; self-host or cloud.
Build a version yourself
- HubSpot (Breeze agents)
SMB-friendly CRM with Breeze AI agents for prospecting and support. - Relevance AI
Build an 'AI workforce' of agents, e.g. BDR agents that research and book meetings.
Sources
“The chatbot is currently live to roughly 10% of Trendyol's 300,000 sellers, with full rollout planned by the end of the year.”Trendyol case study
Grade rationale: Named organization with a quantified outcome from the vendor or the organization itself (self-reported). Automated check on Oct 17, 2026: 1/1 quotes and 2/2 outcome claims matched the source. Compiled by the Agent Casefile research desk (AI-assisted; see methodology). Spot an error? Request a correction.
