Sift + Shopify
Stop Fraud Before It Ships: Integrate Sift with Shopify on tray.ai
Automate real-time fraud detection, order review workflows, and customer risk scoring across your entire Shopify store.
Why integrate Sift and Shopify?
Shopify runs the storefront. Sift handles the trust. When they work together, ecommerce teams can catch fraudulent orders, block bad actors, and protect revenue without slowing down legitimate customers. The problem is the gap between them: manually reviewing orders flagged by Sift or updating customer risk profiles in Shopify is slow, error-prone, and falls apart during peak traffic. Connecting Sift and Shopify through tray.ai lets merchants build automated fraud response workflows that act in seconds, not hours.
Automate & integrate Sift & Shopify
Use case
Real-Time Order Risk Scoring on Checkout
When a new order is placed in Shopify, tray.ai immediately sends the order details — including customer identity, payment method, shipping address, and cart contents — to Sift for a real-time risk score. The score comes back and attaches to the Shopify order as a tag or metafield before fulfillment begins. High-risk orders get routed into a manual review queue; low-risk orders go straight to fulfillment with no delay.
Use case
Automatic Order Cancellation for High-Risk Transactions
When Sift returns a fraud score above a configurable threshold, tray.ai cancels the Shopify order, voids the payment authorization, and sends a notification to the merchant's fraud operations team. A customized email or SMS can optionally go out to the customer explaining that additional verification is required. No manual intervention needed for clear-cut fraud cases.
Use case
Customer Fraud Label Synchronization
When Sift marks a customer account as fraudulent or suspicious, tray.ai updates the corresponding Shopify customer record with a risk tag, custom metafield, or note. Future orders from flagged accounts get automatically reviewed or blocked, even if the customer switches to a new payment method. The sync also pushes confirmed chargebacks and disputes from Shopify back into Sift to improve model accuracy.
Use case
Chargeback and Dispute Workflow Automation
When a Shopify payment dispute or chargeback is filed, tray.ai sends the transaction data to Sift, triggers an internal dispute response workflow, and flags the customer account for closer scrutiny on future orders. Teams can configure follow-up tasks in their project management or CRM tools to gather evidence and respond within the dispute window. It closes the loop between fraud detection and financial recovery.
Use case
Account Takeover Detection and Customer Notification
Sift's Account Defense product monitors login behavior, password reset requests, and profile changes for signs of account takeover. When Sift detects suspicious account activity tied to a Shopify customer, tray.ai can lock the account, invalidate active sessions, and send a security alert email to the legitimate account owner. Merchants can also trigger a Shopify discount code freeze to prevent fraudulent coupon usage.
Use case
Fraud Risk Reporting and Analytics Pipeline
tray.ai can pull order risk scores from Sift and order outcome data from Shopify into a centralized data warehouse or BI tool on a scheduled basis. Fraud analysts get a unified view of risk score distributions, false positive rates, order cancellation volumes, and chargeback trends over time. This data pipeline makes it possible to tune fraud thresholds continuously and show ROI to stakeholders.
Use case
Promotional Abuse and Coupon Fraud Prevention
When customers apply discount codes or referral credits at Shopify checkout, tray.ai passes the order context to Sift to evaluate whether the promotion is being abused by coordinated fake accounts or repeat bad actors. If Sift detects abuse patterns — such as a single device using multiple accounts to redeem first-time offers — the workflow can invalidate the promotion and flag the accounts. This protects margin on promotional campaigns.
Get started with Sift & Shopify integration today
Sift & Shopify Challenges
What challenges are there when working with Sift & Shopify and how will using Tray.ai help?
Challenge
Synchronizing Order Data in Real Time at High Volume
Shopify stores processing thousands of orders per day need fraud scoring to happen in milliseconds at checkout, not minutes later. Building a real-time, low-latency pipeline between Shopify webhooks and the Sift API that holds up during flash sales or holiday peaks is a real engineering problem.
How Tray.ai Can Help:
tray.ai's event-driven workflow engine processes Shopify webhooks instantly and calls the Sift API in real time, with built-in queue management, retry logic, and auto-scaling that handles order volume spikes without configuration changes or infrastructure maintenance.
Challenge
Managing Threshold Logic and Score Branching
Different product categories, customer segments, and order values need different fraud thresholds. Hardcoding threshold logic in a custom integration makes it brittle and hard for non-engineers to adjust when fraud patterns shift or business rules change.
How Tray.ai Can Help:
tray.ai's visual workflow builder lets fraud operations and business teams configure and adjust threshold branching logic without writing code. Score bands, cancellation rules, and notification routing can all be updated in the UI and deployed immediately without an engineering ticket.
Challenge
Mapping Sift Decisions Back to Shopify Order States
Sift returns structured decision objects with scores, labels, and action recommendations, but translating those into the correct Shopify order status updates, tags, metafields, and fulfillment holds requires careful field mapping and error handling — especially for edge cases like partially fulfilled orders.
How Tray.ai Can Help:
tray.ai's data mapping tools give you a visual interface for transforming Sift API responses into the exact Shopify API payloads each action requires, with conditional logic to handle partial fulfillments, multi-currency orders, and custom Shopify Plus workflows.
Challenge
Avoiding False Positives That Hurt Customer Experience
Overly aggressive fraud rules cancel legitimate orders, frustrate genuine customers, and damage your brand. Without feedback loops that track false positive rates and send cancellation outcomes back to Sift, fraud models get less accurate over time, not more.
How Tray.ai Can Help:
tray.ai supports bidirectional feedback workflows where confirmed false positives in Shopify get sent back to Sift as labeled training signals, continuously improving model accuracy. Merchants can also configure tiered responses — step-up verification for medium-risk orders, for example — rather than binary block-or-allow decisions.
Challenge
Handling Multi-Store and Multi-Region Shopify Deployments
Enterprise merchants running multiple Shopify stores across different regions, currencies, or brands need a single Sift integration that routes events from each store correctly, applies region-specific fraud rules, and consolidates reporting across all properties — without building and maintaining separate integrations for each store.
How Tray.ai Can Help:
tray.ai supports multi-tenant workflow configurations where a single integration blueprint can be deployed across multiple Shopify store instances, with store-specific environment variables controlling routing, thresholds, and notification destinations. No need to duplicate and maintain separate automations per store.
Start using our pre-built Sift & Shopify templates today
Start from scratch or use one of our pre-built Sift & Shopify templates to quickly solve your most common use cases.
Sift & Shopify Templates
Find pre-built Sift & Shopify solutions for common use cases
Template
New Shopify Order → Sift Risk Score → Tag and Route
This template fires every time a new order is created in Shopify. It sends order data to Sift's Orders API, retrieves the risk score, and branches the workflow based on configurable score thresholds — tagging low-risk orders for immediate fulfillment, medium-risk orders for manual review, and high-risk orders for automatic cancellation.
Steps:
- Trigger on new order created event in Shopify via webhook
- Send order payload (customer email, IP, payment info, cart) to Sift Orders API
- Retrieve fraud score and decision from Sift response
- Branch logic based on score threshold: tag order, add to review queue, or cancel order
- Update Shopify order with risk score metafield and fulfillment status
Connectors Used: Shopify, Sift
Template
Sift High-Risk Decision → Cancel Shopify Order and Notify Team
When Sift issues a BLOCK or high-risk decision on a transaction, this template cancels the corresponding Shopify order, voids the payment, logs the event, and sends an alert to the fraud team via Slack or email. No manual steps required for clear-cut fraud cases.
Steps:
- Trigger on Sift webhook decision event with BLOCK or high-risk score
- Look up the corresponding order in Shopify by order ID or transaction reference
- Cancel the Shopify order and trigger payment void via Shopify API
- Send fraud alert notification to designated Slack channel or email distribution list
- Log the cancellation event and score details to a fraud case management spreadsheet or CRM
Connectors Used: Sift, Shopify
Template
Shopify Chargeback Filed → Sift Event + Internal Task Creation
This template listens for payment dispute events in Shopify and creates a corresponding fraud event in Sift, enriching the customer's risk profile. It also creates a follow-up task in a project management tool like Asana or Jira so the fraud ops team can gather evidence and respond within the dispute window.
Steps:
- Trigger on Shopify dispute or chargeback webhook event
- Send transaction and customer data to Sift as a confirmed fraud signal
- Update Shopify customer record with chargeback flag or risk tag
- Create a task in Asana, Jira, or Trello with dispute deadline and order details
- Send internal notification to fraud team with dispute summary and evidence checklist
Connectors Used: Shopify, Sift
Template
Sift Account Takeover Alert → Lock Shopify Account and Notify Customer
When Sift's Account Defense detects suspicious login behavior or a probable account takeover, this template disables the associated Shopify customer account, prevents any in-flight orders from being placed, and sends a security alert email to the account owner with steps to recover access.
Steps:
- Trigger on Sift Account Defense webhook indicating high-risk login or takeover signal
- Locate the Shopify customer account by email or customer ID
- Disable or tag the Shopify customer account to prevent new orders
- Send a transactional security alert email to the account owner via email service provider
- Log the takeover event and remediation steps in the fraud case management system
Connectors Used: Sift, Shopify
Template
Daily Shopify Order Batch → Sift Bulk Score Sync
For merchants who prefer asynchronous risk scoring, this scheduled template exports the previous day's Shopify orders and sends them in bulk to Sift for scoring and analysis. Risk scores get written back to Shopify order metafields, and any orders exceeding thresholds are flagged for retroactive review before fulfillment is finalized.
Steps:
- Scheduled trigger fires daily at a configured time
- Query Shopify Orders API for all orders created in the past 24 hours
- Loop through each order and send to Sift Orders API for scoring
- Write returned risk scores back to Shopify order metafields
- Filter orders above risk threshold and add to manual review queue or cancel automatically
Connectors Used: Shopify, Sift
Template
New Shopify Customer Registration → Sift Identity Verification
When a new customer creates an account in Shopify, this template sends the registration event to Sift's Users API to evaluate the legitimacy of the new account based on device, email domain, behavioral signals, and known fraud patterns. Suspicious new accounts get flagged or blocked before they can place an order.
Steps:
- Trigger on new Shopify customer account creation webhook
- Send customer registration details to Sift Users API including email, IP, and device data
- Receive account risk assessment and decision from Sift
- Tag or disable the Shopify customer account based on Sift's recommendation
- Optionally trigger an email verification or CAPTCHA challenge for medium-risk accounts
Connectors Used: Shopify, Sift