N8n - automation of processing requests for an online store on Shopify

Budget: 18000 UAH Deadline: 7 days

We can do this as a normal managed process in n8n - not just a few nodes, but with classification logic, checking data from the Shopify Admin API, processing logs, and error scenarios. 2000 UAH for such a scope is unfortunately unrealistic - the risk here is not in the automation itself, but in the fact that it will respond incorrectly to clients or lose complex inquiries =/

I would suggest the first stage for 7 days - a basic working MVP: input channel, classification, order search in Shopify, 2-3 response routes, passing complex inquiries to a ticket/notification, logging in Google Sheets or CRM, basic handling of failures. After that, we can expand categories, response templates, analytics, and the quality of LLM classification.

Two things need clarification:
> which channel will be the main one at the start - email, Shopify form, or chat
> where are you currently handling complex inquiries - CRM, spreadsheet, helpdesk, or just the team messenger

Similar logic cases from Ingello:
> https://business.ingello.com/vorfahr - automation and AI logic for business processes
> https://business.ingello.com/prime-eva - e-commerce and systematic work with processes around sales

Main page for FLH - https://systems-fl.ingello.com/ua

!!Important nuance!! - before launching auto-responses, I would definitely create a check mode where n8n initially only prepares the response and decision logic, and the team sees the result. Then we can enable automatic responses for simple categories. Better to measure seven times - Shopify clients do not like mistakes, and I understand them a bit in this =) Expand

Budget: 2000 UAH Deadline: 4 days

Hello! I am ready to build this workflow on n8n turnkey — I do similar automations with classification of inquiries and integrations via API, so the task is clear.

Here’s how I see the implementation: a trigger for new requests, classification of type (order status / return / product question / delivery / complaint / other) — I will combine rules with an LLM node to capture free text more accurately. Enrichment through Shopify Admin API (searching for customer and order by email or number, delivery status, history). Routing: simple requests — auto-response with data, complex ones — ticket + notification in Slack or Telegram with full context. Logging each inquiry in Google Sheets, plus error handling, retries, and basic monitoring of failures.

I would like to clarify before starting: do the inquiries mainly come from email, Shopify contact form, or chat — which of these is the main source? And is your n8n self-hosted or cloud? This affects the trigger setup and limits.

Price — 2000 UAH (your budget), deadline 4 days. I will start working immediately and give my all — I am currently gathering my first reviews here. I can show a live demo of a similar automation so you can see the approach before the solution.

Budget: 2000 UAH Deadline: 1 day

Hello! My name is Oleg, I am the project manager for automation at Business Atlas. Your task is the perfect case for n8n, and we have extensive experience in building such intelligent support systems for e-commerce in the markets of Ukraine, the USA, and Europe (over 50 successful projects implemented).
We build solution architectures based on Low-code tools (n8n, Make) and CRM, ensuring maximum stability, flexibility, and speed of deployment without overpaying for heavy custom code.
Here is the solution we will implement for your specifications:
• Intelligent classification via n8n: We will set up an incoming trigger from your communication channel and connect an LLM node (Claude or GPT) directly within n8n. The AI will accurately determine the client's intent (order status, complaint, return) based on the context of the email or message.
• Enrichment with Shopify Admin API: The workflow will automatically query your Shopify, search for the client by email or phone number, extract the history of the last order, current payment status, collection, and tracking number for delivery.
• Smart routing (Handoff): Simple requests (where is the package, what is the status) will be handled by the system itself — the AI will generate a personalized response with real data from Shopify and send it to the client. Complex requests (complaints, exchanges) will be converted into a ticket in your CRM (KeyCRM, KeepinCRM, etc.) and instantly send a card with all context and a link to Shopify to your Slack or Telegram.
• Logging and Fault Tolerance: Each step and status of the request will be recorded in Google Sheets or CRM for clean analytics ("single source of truth"). In n8n itself, we will set up an error handling system (Error Trigger) — if the Shopify API temporarily does not respond, the workflow will make several automatic retries, and in case of a critical failure, it will send a notification to the tech lead.
Message me privately — we will discuss which communication channel (email or form) will be the main one at the start, and I will propose a ready logical workflow scheme!

Budget: 5000 UAH Deadline: 5 days

Manual and routine processing of customer inquiries is wasted time and money that could be directed towards the development of the store.

I will build an n8n workflow that automatically classifies incoming requests, pulls order data directly from the Shopify Admin API (status, shipping, customer history), and routes: simple inquiries receive an instant auto-reply with real data, while complex ones go as a ticket with full context in Slack/Telegram. Each request is logged for reporting, plus basic error handling and monitoring of workflow failures.

Budget: 8000 UAH Deadline: 7 days

Hello. I work with n8n/Node.js. Ready to collaborate. Feel free to contact me.

Budget: 2500 UAH Deadline: 3 days

Good day! The task is clear — an n8n workflow that receives requests from Shopify customers, classifies and routes them. Straight to the point, with a ready design.

How I will build the workflow:
• Trigger for new requests (email / Shopify contact form / chat — I will connect the source you specify).
• Classification type: order status / return-exchange / product question / delivery / complaint / other — through an LLM node (more precisely than bare rules), with a fallback on rules.
• Enrichment via Shopify Admin API: searching for customer and order by email/number, delivery status, history.
• Routing: simple (status, tracking) → auto-response with data; complex → ticket + notification in Slack/Telegram with full context.
• Logging each request in Google Sheets / your CRM for reporting.
• Error handling: retry on API failures + error branch with notification on failure (basic monitoring) — so no request gets lost.
• Structure for easy addition of new request types later.

I will provide the ready workflow (export JSON) + a short instruction on keys and editing.

Cost: 2,500 UAH.
Deadline: 3 days after access is provided (Shopify API, request source, notification channel).

Please clarify at the start: 1) request source — email, Shopify form, or chat? 2) notifications in Slack or Telegram? 3) log in Google Sheets or your CRM? Expand

Budget: 4000 UAH Deadline: 3 days

Hello.

I can set up automation for you. Write to me, and we will discuss.

Budget: 22000 UAH Deadline: 12 days

Good day!

I have reviewed the technical assignment. This workflow in n8n can be fully implemented and scales well for future needs.

Here’s how I see the implementation:
Connecting a trigger (Email / Shopify Contact Form / chat).
Classification of requests:
by rules (for typical scenarios);
or through LLM (OpenAI/Claude/Gemini) for more accurate request type identification.
Integration with Shopify Admin API:
client search;
order retrieval;
fulfillment status;
delivery information and tracking;
order history.
Routing:
automatic response for typical requests (status, delivery, tracking);
creating a ticket for complex requests;
notifications in Slack or Telegram with full context.
Logging all requests in Google Sheets or CRM.
Error handling, automatic retries, logging, and basic monitoring of the script's operation.

I also recommend immediately incorporating the ability to easily add new categories of requests and scenarios without reworking the entire logic.

Estimated assessment:
Analysis and design — 2–3 hours.
Building the main workflow — 8–12 hours.
Integration of Shopify API and testing — 4–6 hours.
Error handling, logging, final testing — 2–4 hours.

Overall: approximately 16–25 hours of work (depending on the source of requests, complexity of Shopify data, and the need to use LLM).

Cost:
I can perform:
by the hour — from $25–35/hour;
or a fixed price after clarifying details — approximately $450–700 for a fully ready and tested workflow.

After starting the work, I will be able to propose an optimal architecture to easily add new channels in the future (WhatsApp, Facebook Messenger, Instagram, Zendesk, Gorgias, etc.), new types of requests, or AI functions.

I am ready to discuss the details, review the current support process, and suggest the most effective solution. Expand

Budget: 1900 UAH Deadline: 2 days

Good day.

I can help with building an n8n workflow for the automatic processing of customer inquiries for a Shopify store.

I see the task as follows:

* receiving a new inquiry from email / contact form / chat;
* classifying the inquiry: order status, return/exchange, delivery, product question, complaint, or other;
* searching for the customer and order in Shopify by email or order number;
* pulling order data;
* routing: simple inquiries — to auto-replies, complex ones — to Telegram/Slack or a ticket;
* logging inquiries in Google Sheets or CRM;
* basic error handling.

To avoid inflating the budget right away, I suggest starting with a test phase for 1800 UAH:

1. Set up a basic n8n workflow for one inquiry channel.
2. Classify the inquiry.
3. Send the classification result and context to Telegram/Slack.
4. Log inquiries in Google Sheets.

After this, we can move on to the full version of the project. The estimated cost for full implementation is 9000 UAH.

The full version can include connecting to the Shopify Admin API, searching for orders by email/number, pulling status, auto-replies for simple inquiries, routing complex inquiries, logging, and basic error handling.

I have experience with n8n, OpenAI/LLM, Gmail, Google Sheets, Telegram, CRM/API integrations, and customer support automation. I have a relevant case: AI Customer Support Agent on n8n + OpenAI + Gmail Automation.

I am ready to start with a small test piece so you can see the workflow logic before full implementation. Expand

Budget: 12000 UAH Deadline: 5 days

We already have a practically ready similar solution for processing e-commerce inquiries, which can be quickly adapted for Shopify and n8n and discussed here on the marketplace; I am available to chat. ))

Briefly on the estimate - for 2000 UAH, the entire described scope with Shopify Admin API, classification, auto-actions, logging, errors, and monitoring cannot be done qualitatively. I would suggest a starting phase for 12000 UAH - to build a working process for one source of inquiries, classification, order search in Shopify, auto-replies for simple cases, and ticket creation for complex ones. The full scope after checking access and channels will most likely be calculated separately.

Look, there’s a nuance here - it’s important not just to gather nodes, but to create a proper fallback logic, retries, event logging, and error control; otherwise, the automation will break exactly when the client writes with a problem. It can be done with rules, and for some inquiries, we can add an LLM node to determine the type, urgency, and whether an auto-reply can be given without manager involvement.

We will need from you:
- Access to n8n or the server where we deploy it
- Access to Shopify Admin API
- Choice of inquiry source - email, Shopify form, or chat
- Choice of where to create the ticket - Google Sheets, CRM, Slack, or Telegram

I’ll clarify 2 points to avoid guessing too much =)
- Which specific inquiry channels we will take in the first phase
- Whether only a draft auto-reply is needed for the manager, or if it can be sent to the client automatically

Relevant examples:
- https://business.ingello.com/vorfahr - automation with AI logic and integrations for business processes
- https://business.ingello.com/prime-eva - e-commerce and retail processes, close to Shopify tasks
- https://systems-fl.ingello.com/ua - a brief overview of Ingello Systems for automation tasks, AI, and corporate systems. Expand

Budget: 12000 UAH Deadline: 7 days

Good day.
I am ready to take your project into work.
I can develop n8n automation for your online store on Shopify.
Message me privately, and we will discuss all the details and choose the best solution for you.

Budget: 2000 UAH Deadline: 1 day

Good day, I am ready to develop such a workflow for you, I have extensive experience working with n8n and API integrations.

Budget: 2000 UAH Deadline: 3 days

Hello, Andrii! I am building exactly such n8n workflows: client request → classification → pulling order data from Shopify → correct action (auto-response / ticket / notification to the team).

This is exactly what I do: I have built my own AI-CRM, where the agent independently handles inquiries from online store customers and routes them. I will transfer this approach to your n8n.

You will have less manual processing, faster responses, and nothing will get lost.

I am ready to clarify the scenarios and get started. Approximately 3 days.
Matviy

Budget: 2000 UAH Deadline: 7 days

Hello! I am building AI automations on n8n and Make. The latest n8n project is a Telegram booking bot that processed requests on its own, pulled data from Google Calendar, and managed the entire cycle without human intervention. I also created a Make scenario with a webhook and Router logic for branching actions — 0 errors in history.
For your case, I see a scheme: trigger → classification (rules or LLM) → request to Shopify Admin API by email/number → branching into auto-response or ticket with context in Slack or Telegram → log in Google Sheets, with retry and alerts for failures.
Cases with numbers: https://www.notion.so/AI-Marketing-Automation-Specialist-Portfolio-319016188463806c9376d88292e327bc?source=copy_link

Budget: 6000 UAH Deadline: 6 days

Good day! I have experience in a similar project: an email automation system for clients based on artificial intelligence in Make.com, which integrates OpenAI, Shopify, DeepL, and Google Sheets. The workflow automatically processes incoming emails, detects intents and languages, retrieves customer and order data, generates personalized multilingual responses, applies business rules and compliance checks, and logs all interactions for reporting and auditing purposes. As a result: Reduction of repetitive manual support tasks through automation. Improved speed and consistency of responses. Scalable multilingual communication with clients ensured. Increased operational transparency through centralized logging and exception handling. Compliance with business policies ensured before communicating with clients.

Budget: 2000 UAH Deadline: 6 days

I work with n8n automations specifically for Shopify to optimize operational processes. I have been working with Shopify for over 5 years.

I already have cases similar to your request, for example, I have worked on stock management with integration of Google Sheets and Slack.

Feel free to write, and let's get started!

Budget: 2000 UAH Deadline: 6 days

I understood the task: a workflow in n8n that captures new requests from email, Shopify forms, or chat, classifies the type (order status, returns, product inquiries, delivery, complaints, others) using rules or through an LLM node, pulls order data from the Shopify Admin API by email or number, responds immediately to simple cases with data, and creates a ticket for complex cases, notifying the team in Slack or Telegram with full context. Everything is logged in Google Sheets or your CRM, errors and retries are handled.

Regarding the stack: a trigger from multiple sources via Email Trigger and Webhook nodes, classification through a hybrid (regex for obvious cases like "where is my order," LLM node for the rest, to avoid burning tokens on trivial cases), Shopify Admin API through the official n8n node, routing through Switch, a separate channel in Telegram or Slack with full context and a button to open a ticket. For errors, a standard On Error workflow with retries and a log of failures in a separate line in Google Sheets so you can see silent drops.

One point on classification: for a massive flow of requests, it’s cheaper to make two stages (regex on keywords plus LLM only for the rest) or classify all at once through one LLM node depending on the volume. How many requests per day do you expect and is there already a CRM (HelpScout, Zendesk, Intercom) where tickets need to be placed?

In terms of deadlines, a working MVP with 3-4 types of requests and auto-responses in 5-7 working days plus a couple of days for fine-tuning the classifier with live data. I am ready to agree on the details.

Budget: 5000 UAH Deadline: 3 days

Good day! We have experience working with n8n, Shopify API, and AI automations for processing customer inquiries. We can implement a workflow that:
• receives requests from email, Shopify forms, or chat;
• automatically classifies inquiries (using rules or through OpenAI/Claude);
• pulls order data via Shopify Admin API;
• generates automatic responses for typical inquiries;
• creates tickets for complex cases;
• sends notifications in Slack or Telegram with full context;
• logs in Google Sheets or CRM;
• includes error handling, retries, and monitoring.
After launch, we will provide the process diagram and instructions for further management without involving a developer. We are ready to discuss the details and propose an optimal architecture, timeline, and cost for implementation.

Budget: 10000 UAH Deadline: 7 days

Good day!
Experience with n8n is available, the task is clear. I have built similar workflows — trigger, classification of requests, data enrichment via API, routing, logging.
Regarding your project:
— Trigger on email or form, classification through rules or LLM node
— Data enrichment from Shopify Admin API by email/order number
— Simple requests — auto-response, complex ones — ticket and notification in Slack/Telegram
— Logging in Google Sheets, error handling and retries
Please clarify where the requests come from — email, form, or chat? And where should the notifications go to the team — Slack or Telegram? After that, I will provide the exact terms and cost.

Budget: 10000 UAH Deadline: 5 days

Good day.
Our team has many years of experience in developing ERP, CRM, CMS, and specialized software for businesses. We create effective digital solutions that help automate processes, increase productivity, and scale companies.

We work with modern technologies — from bots and scripts to AI agents and analytical systems. We develop websites of varying complexity. In our portfolio, we have implemented ERP solutions for the hotel business, as well as for companies engaged in the import and sale of goods, and our own product XFitness — an ERP system specifically designed for fitness clubs.

We are ready to implement your project and offer the best solution tailored to your needs.
Our portfolio: Freelancehunt

We specialize in the following areas:
- Development of ERP Systems
- Development of CRM Systems
- Development of Websites of any complexity
- Development of CMS Systems
- Support for Websites
- Development of OpenCart
- Support for OpenCart
- Modification of OpenCart
- Enhancement of OpenCart
- Development of WordPress
- Support for WordPress
- Modification of WordPress
- Enhancement of WordPress
- Development of ECommerce
- Support for ECommerce
- Modification of ECommerce
- Enhancement of ECommerce
- Development of Web Applications
- Support for 1C Servers
- Support for Web Servers
- Development of mobile applications
- Data parsing
- Development of bots
- Development of AI agents

and on the following technologies:
- Python
- PHP
- Laravel
- Symfony
- Yii2
- JS
- NodeJS
- jQuery
- TypeScript
- MySQL
- HTML
- CSS
- Vue
- Nuxt.js
- React
- React Native
- C++ Expand

Budget: 5000 UAH Deadline: 4 days

Hello! The task is completely clear. Automating the processing of customer inquiries through n8n based on data from the Shopify Admin API is a great solution that will significantly reduce the load on support, speed up responses for customers, and eliminate the human factor in lead routing.

For implementing this system, n8n is ideal due to its node-based architecture, flexible handling of webhooks, and native integration with OpenAI/Anthropic for intelligent text analysis. We will build a reliable asynchronous workflow that will operate without delays and failures.

For classifying inquiries, I recommend using the LLM node (Advanced AI in n8n) with a fast model connection, such as gpt-4o-mini or Claude 3.5 Haiku. Regular keyword rules often make mistakes, while the language model easily recognizes the customer's intent, even if the text is written with errors or jargon. Upon receiving the type of inquiry, n8n will instantly find the customer via email or phone through the Shopify Admin API, extract the tracking number, payment status, and logistics. Simple scenarios will receive an automatic response via email or chat, while complaints or complex questions will generate an informative card with all the context for your team in a messenger or CRM.

I would like to clarify two technical points before designing the workflow architecture. Which service do you plan to use as the endpoint for complex inquiries (specific CRM, helpdesk system, or just Telegram/Slack)? Do you already have prepared templates for auto-responses for customers in Norwegian, English, or another language, depending on the geography of your store?

The work plan includes setting up a webhook for your incoming trigger, creating an AI node for accurate intent classification, writing HTTP requests to the Shopify Admin API for context enrichment, building routing logic (Switch nodes), integrating with notification channels and a logging database, as well as mandatory implementation of an Error Trigger block for catching errors and retrying request processing.

I guarantee clean code, stable logic of scenarios without loops, and full adherence to deadlines. I am waiting for your details regarding the trigger and communication channels to start assembling the backend in n8n. Expand

Budget: 2000 UAH Deadline: 3 days

Good day! I have carefully reviewed your project and am ready to set up automation for processing requests for your Shopify store in n8n.

What I propose to implement:
• receiving customer requests via Telegram/Slack and recording them in a single workflow;
• integration with the Shopify Admin API for instant retrieval of order data, statuses, and customers;
• logic for classifying and routing requests by categories (delivery, payment, returns, etc.) with appropriate notifications in Slack or Telegram;
• notifications to responsible managers and automatic responses to typical requests.

I have practical experience with n8n, building API integrations, and setting up notifications. Before starting, I will clarify the details of your channels and scenarios to make the solution as tailored to your process as possible.

I am ready to discuss the terms and agree on the steps. Please let me know what types of requests you handle most often? Expand

Budget: 2000 UAH Deadline: 3 days

Hello! I am ready to complete your task, I have experience working on similar projects.

Budget: 2000 UAH Deadline: 5 days

Hello! I will set up automation for processing requests for your Shopify store in n8n.

I will connect the incoming channel with the Shopify Admin API for quick order searches. For classification, we will connect an LLM node: simple tracking questions will be answered with auto-responses, while complex ones will be sent to Slack/Telegram with all the context. I will also set up logging in Google Sheets and error handling.

Please let me know which communication channel is currently the main source of requests?

Budget: 2000 UAH Deadline: 3 days

n8n - my main tool, I have implemented a bunch of similar projects. Write to me, I will do everything in the best way.

Budget: 3000 UAH Deadline: 4 days

Good day! I am ready to complete your order.

I have similar cases of application validation based on Make.com
Google Drive

I would be happy to discuss the details, feel free to write!

Budget: 2000 UAH Deadline: 2 days

Good day! Quickly, and most importantly - I will implement the task you set with quality!!!!!!!!

Budget: 2500 UAH Deadline: 3 days

Hello, I have over 1.5 years of experience in automation through n8n, constantly working with Shopify. I would be happy to complete this project quickly and efficiently. We can discuss in private in more detail, and I will show you my projects related to Shopify.

Budget: 2000 UAH Deadline: 1 day

Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various bots. Please write to me in private messages to discuss the details. I would be happy to help :)