As of 13 August 2026, AI can only partly connect your stock system to Shopify.

What to actually do

1. Hand it to a person

   The route this page recommends

   A person who owns the outcome does this end to end, worth it when the failure is dear.

2. Use a tool built for this

   Second choice

3. Do it yourself

   The distant third

   A chat interface, power-user skill, and roughly 2 hours until you can act on the result.

   How to actually do it

   1. Open the official developer documentation for your stock system and Shopify, then copy the relevant authentication, product, inventory, order, webhook, rate-limit and error-handling sections into a working document.
   2. Gather the stock system name, Shopify store details, product matching key, warehouse and location rules, bundle rules, reserved-stock rules, and the fictional or redacted sample records requested in the prompt.
   3. Paste the documentation, rules and sample records into a chatbot with the copyable prompt, and ask it to produce the mapping, implementation plan, code, tests and rollback procedure without making live changes.
   4. Ask the stock-system administrator and Shopify administrator to confirm every required endpoint, permission, webhook event, field name and product-matching rule against their current systems.
   5. Create a development or test store and test account, configure non-production credentials, then run the drafted test cases for stock changes, orders, cancellations, refunds, duplicate events, failed requests and unavailable products.
   6. Compare the resulting Shopify and stock-system records, logs and alerts against the expected results, fix the integration with the administrator or developer, and only then arrange a controlled live deployment with a reconciliation check.

   Prompt

   I need to connect [STOCK SYSTEM NAME] to Shopify for [BUSINESS OR STORE DESCRIPTION]. I have attached or pasted the official API documentation for both systems, including authentication, stock or inventory endpoints, order endpoints, webhooks, rate limits and error responses. Do not invent an endpoint, field, permission or platform feature. If the documentation is missing, say exactly what is missing.
   
   Our required flow is:
   1. When stock changes in [STOCK SYSTEM NAME], update the matching Shopify inventory item and location.
   2. When a Shopify order is placed, cancelled or refunded, update stock in [STOCK SYSTEM NAME] if the documentation supports this.
   3. Match products using [SKU, barcode, product ID or other key].
   4. Apply these rules: [WAREHOUSE, LOCATION, BUNDLE, RESERVED-STOCK AND LOW-STOCK RULES].
   5. Treat these events as duplicates if they have the same [EVENT ID OR OTHER UNIQUE KEY].
   
   Use these sample records, with fictional or redacted data only:
   Stock system product: [PASTE SAMPLE]
   Shopify product and inventory record: [PASTE SAMPLE]
   Stock change event: [PASTE SAMPLE]
   Shopify order event: [PASTE SAMPLE]
   
   Produce:
   - a field-by-field mapping table;
   - the proposed data flow and assumptions;
   - implementation code or pseudocode in [LANGUAGE OR PLATFORM], with secrets kept in environment variables;
   - required permissions and configuration steps;
   - validation, duplicate-event, retry, logging and alerting behaviour;
   - a test plan using a development or test store, including expected results;
   - a rollback and reconciliation procedure;
   - a list of questions that must be answered by the stock-system or Shopify administrator before any live deployment.
   
   Do not make live changes, request real credentials, or claim that the integration is safe to deploy. Mark every unverified assumption clearly.

   Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.