AI-Powered Workflow Automation in Textile Industry: Saving Hours with n8n and Local LLMs

A textile manufacturer working with European clients automated email and specification management using n8n and local Ollama models, saving 2–3 hours of manual work every day.

Challenges

Owner spent 2–3 hours daily reading client emails, technical specifications, and feedback.
High chance of miscommunication due to manual handling of multiple European client requests.
Drafting replies and organizing project details was slow and repetitive.
Needed a cost-effective, private, and locally hosted AI solution.

Solutions

Implemented n8n workflow automation to process incoming emails and client communications.
Integrated local Ollama LLMs to read technical specifications, summarize client feedback, and create draft responses.
Automated organization of project data for faster decision-making.
Designed the system to be affordable, secure, and locally hosted for full control over data.

Impact

Saved 2–3 hours daily for the business owner, freeing time for growth and client relationships.
Improved communication quality with faster, more accurate draft responses.
Reduced errors and missed details by centralizing email and spec management.
Affordable automation that scaled without needing heavy infrastructure.
Boosted client satisfaction by delivering quicker, well-structured replies to European clients.

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