Remote – n8n / Make.com Automation Specialist

Hello! I am ready to implement automation based on n8n. My approach is based on using Regex (regular expressions) for 100% accuracy in data parsing without involving AI, which ensures stability with large volumes of emails.

For the work, I will set up parallel email collection from all 6 mailboxes, deduplication, and automatic extraction of order numbers and tracking codes. The result will be output in a convenient table, the structure of which will fully correspond to the fields of your EMP system for the fastest manual input. n8n will allow processing thousands of emails daily without the extra costs that would arise from using Make.

I will need 4-6 days to implement the project. You will need to provide samples of emails of each type, a screenshot of the EMP interface for field configuration, and access to the mailboxes for testing.

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Hello!
I am ranked second on the platform and specialize in developing chatbots and automating business processes. I work with services such as n8n/Make.com.
I can easily help you collect and consolidate emails and extract key information.

You can see similar projects in my portfolio: Freelancehunt
Feel free to contact me, I will be happy to discuss your project in more detail.

Good day!

We can implement your project turnkey, taking into account all requirements and wishes. We would be happy to discuss the details and offer an optimal solution.

Sincerely,
Volodymyr
M-Studio
Our projects: https://m-studioo.lovable.app/

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Interested! I understand you've looked at my portfolio and already know I've completed this type of task. I'm making a provisional bid, expecting 80% completion.

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Hello, I am ready to take on the work, I have done a similar project, I have experience, I would be happy to discuss the details.

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Hello.I have been working with n8n.I'm ready to cooperate...

Good day, I have studied the description, the task is to reduce operational chaos in the resale business with a large volume of orders and EMP restrictions.

I have practical experience in building rule-based automations in n8n and Make without using AI, with a large number of mailboxes and strict email formats.

Here is how I see the implementation: we connect 3 Gmail and 3 Naver Mail, aggregate emails into a single stream, filter only order emails by senders, subjects, and keywords using regular expressions, extract the order number, customer name, product name from the supplier, delivery service, tracking number, and order status, then match the emails with EMP orders by order number and customer name, considering that product names differ due to resale.

As a result, we create a clean structured table where each row represents one order, fully ready for quick manual entry of the tracking number into EMP, without errors and confusion.

The automation will be resilient to a large volume of emails, with duplicate processing, skipping incomplete emails, and basic error logging. EMP is not automated directly, only data preparation, strictly within your constraints and without API, CSV, or files.
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Implementation time: 3-4 working days $100 (+$9 exchange commission payment: 50%/50% = $4.50 or 100% = $9) with testing on real emails.

To start, I will need examples of emails for each type of status, confirmation of format stability, a list of fields that you manually fill in EMP, the preferred data output format, and the method of connecting mailboxes.

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Hello,

I’m very interested in your automation project. I have strong hands-on experience with n8n and Make.com, specifically building rule-based email automations for e-commerce and operations workflows with high daily volume.

How I would approach this:

Connect and monitor 6 inboxes (Gmail + Naver Mail)

Use strict rule-based logic (filters + regex) to identify order-related emails
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Extract required fields (order number, customer name, product, carrier, tracking, status)

Deduplicate and normalize data across multiple sources

Output everything into a clean spreadsheet/dashboard optimized for fast, manual EMP input

Add basic error handling and logging for stability at scale

I fully understand the reselling constraint (different product names) and will rely on order number + customer name for accurate matching. No AI/LLM usage — strictly deterministic automation.


What I’ll need from you:

Sample emails from each inbox/site

List of order statuses to track

EMP fields you manually update today

Current manual workflow (brief)

I can provide real proof of past automations (screenshots / diagrams / anonymized flows) upon request.
If this project goes well, I’d be open to long-term or full-time collaboration.

Best regards