Automatically captures Shopify orders, stores them in Sheets, and sends Telegram notifications.
The AI agent monitors Shopify order events, transforms them into a consistent row, and appends them to a Google Sheets spreadsheet. It creates a structured, searchable record of each order for cross-team access. It also sends Telegram alerts for new orders and for any processing errors to keep your team informed in real time.
Automates end-to-end order capture, storage, and team notifications.
Listen for new Shopify order webhooks.
Normalize and transform order data into a standard row.
Append the order row to the Google Sheet.
Update the sheet with processed status and timestamps.
Send Telegram notifications on new orders or errors.
Log events and errors for audit.
Before: data lived in Shopify with limited cross-team access and manual reporting. After: orders flow into a centralized Google Sheet with real-time Telegram alerts and a verifiable audit trail.
A simple 3-step flow to capture, store, and alert.
The AI agent waits for a new order notification from Shopify and validates the payload.
Maps Shopify fields to the predefined row schema (orderId, orderNumber, created_at, processed, processed_at, json, customer, shippingAddress, lineItems, totalPrice, currency).
Appends the row to the orders sheet, updates processing status, and sends a Telegram notification on success or error.
One realistic scenario.
A new order arrives at 10:05 AM from a first-time customer. The AI agent receives the webhook, formats the data, writes a new row to the 'orders' sheet, and immediately sends a Telegram alert to the operations channel with key details like orderId, totalPrice, and customer name. The row remains in Sheets for future analysis and reporting.
One supporting sentence.
needs a single source of truth for orders across teams.
wants real-time alerts and auditable records to manage fulfillment.
needs to build reports in Sheets using order data.
needs an API-like integration with Shopify and Sheets.
needs quick access to order details in Sheets.
needs order data to respond to inquiries without Shopify access.
One supporting sentence with short explanation.
Receives new order data via webhook and triggers the AI agent.
Stores orders in a structured sheet and supports reporting.
Delivers real-time alerts to a channel or user.
One supporting sentence with short explanation.
One supporting sentence with short explanation.
The agent stores orderId, orderNumber, created_at, processed, processed_at, json, customer, shippingAddress, lineItems, totalPrice, and currency for each order. The json field contains the raw Shopify payload for auditing. You can expand data by adjusting the transformer to include additional fields. Google Sheets provides revision history and export options for backups.
Yes. You can configure separate webhooks per store and route the data to distinct sheets or separate columns within a single sheet. The transformer can be adjusted to handle multiple store IDs and currencies. The setup page will guide you through store-specific credentials. This keeps data isolated while maintaining a unified workflow.
Alerts include a concise order summary with key fields such as orderId, totalPrice, currency, and customer. They notify on new orders and when errors occur, with a link to the Sheets row for quick verification. You can customize the message to show additional fields or links to dashboards. Alerts are sent to a designated chat or user.
Google Sheets provides revision history and versioning, allowing you to recover previous states. Access can be restricted by Google Workspace permissions and sheet sharing settings. The AI agent logs processing steps and errors for auditability. For additional backups, you can export sheets periodically or route data to a secondary storage solution.
Yes. The transformer step can be adjusted to extract more Shopify fields or collapse data into simpler columns. You can map new fields to existing columns or create new sheets for additional analyses. After changes, you can re-run a sample payload to verify the format. This keeps the data aligned with your reporting needs.
The system logs the failure and retries the webhook delivery automatically where possible. If retries fail, Telegram will notify the designated channel with an error summary. The event remains in the queue for later processing when connectivity is restored. You can review the error details in the audit log and fix the cause before reprocessing.
In Shopify, go to Settings > Notifications > Webhooks and create a webhook for Order creation. Point the webhook URL to the AI agent’s endpoint and set the format to JSON. Test the webhook with a sample order to verify data mapping. Once verified, enable automatic delivery for live orders.
Automatically captures Shopify orders, stores them in Sheets, and sends Telegram notifications.
