Fraud review desk for the Shopify orders you should hold

Your ops team opens one queue, sees every unfulfilled order ranked by fraud risk, and releases, tags or cancels each one before it gets packed.

App
IPQualityScoreShopifyGeneral Input DatabaseOperationsFinanceResearch & Monitoring
PromptCreate

Build me a manual review console for my Shopify store where my ops team works the orders that are risky enough to hold before anything gets picked and packed. Nothing is ever cancelled automatically. The reviewer always makes the call.

The main screen is a queue of recent unfulfilled orders pulled with the Shopify List Orders operation. Each row shows the order value, the buyer name and email, the order date, and a risk band scored by IPQualityScore, with the highest risk orders pinned to the top. Use three bands off the IPQualityScore fraud score: below 75 is clear, 75 to 89 is suspicious, and 90 and above is high risk. Color the band, and let the reviewer filter the queue by band and by whether a decision has already been recorded.

The score behind each row comes from the IPQualityScore checks: Transaction / Payment Fraud Scoring on the billing and shipping data, IP Reputation & Proxy/VPN Detection on the order IP address, Email Validation on the buyer email to catch disposable inboxes, and Phone Number Validation on the buyer phone to catch VOIP or prepaid numbers. Take the highest of the returned fraud scores as the order's overall risk score, and keep each individual signal so the detail view can show what drove it.

Every IPQualityScore lookup consumes account credits, so show the remaining credits on the page using the Credit Usage (Account) operation, and store each order's scores and raw signals in the General Input Database the first time it is scored so reopening the queue does not re-run and re-bill the same lookups. Give the reviewer an explicit rescore control on a row for when they do want fresh data.

Opening a row shows the full order from the Shopify Get Order operation alongside the buyer's past orders from Get Customer Orders, so the reviewer can see whether this is a first time buyer or a repeat customer and whether earlier orders were cancelled or refunded. Next to that, show the IPQualityScore detail behind the score, one section per check, spelling out the specific reasons in plain language: proxy or VPN in use, recent abuse on the IP address, a disposable email domain, a VOIP or prepaid line, a billing and shipping mismatch.

From a row or from the detail view, a reviewer can do one of three things. Release the order, which records the decision and leaves the order untouched so fulfillment proceeds. Cancel the order with the Shopify Cancel Order operation, restocking the inventory, with the reviewer picking a cancel reason and confirming in a dialog first. Or tag and note the order with the Shopify Update Order operation, adding a review tag and appending the reviewer's note to the order. Every one of the three requires a short reason from the reviewer before it goes through.

Save every decision to the General Input Database: the order id and order number, the order value, the risk score and band at the time of the decision, the individual IPQualityScore signals, the decision taken, the reason text, the reviewer who made it, and the timestamp. Add a second view, a decision history, listing past decisions with filters by band, by decision and by reviewer, so we can look back at what we held and whether we were right.

Add a Research this order button on the detail view that kicks off a background agent. The agent runs the full IPQualityScore set on the order (transaction, IP, email, phone), reads the buyer's past orders with Get Customer Orders, weighs the signals against that history, and writes a short verdict of a few sentences plus a recommended action of release, tag and watch, or cancel. Write the verdict, the recommendation and the run status back into the General Input Database keyed to the order so the app can show it in the detail view. Show the run as in progress while it works and render the verdict when it lands. The reviewer then accepts the recommendation, which pre-fills the matching action for confirmation, or overrides it and records their own decision instead. The agent itself never cancels, tags or changes anything in Shopify; it only writes its verdict back for a human to act on.

Two rules to hold onto throughout the app: nothing is cancelled or changed in Shopify without a reviewer explicitly confirming it, and the credit meter stays visible on the page because every lookup costs money.

What does this prompt do?

  • A queue of recent unfulfilled orders with the riskiest pinned to the top, each row showing the order value, the buyer and a clear risk band
  • Open any order to see the full order details, everything that buyer has ordered before, and the specific reasons behind the score, like a VPN connection, a throwaway email address or a prepaid phone number
  • Release the order, cancel it and put the stock back, or tag it with a note, all from the same screen and always with a reason attached
  • Every decision is saved with who made it and why, so you can look back later and see what you held and whether you were right
  • A Research this order button sends an assistant to dig into the buyer and write back a short verdict with a recommended action you can accept or overrule

What do I need to use this?

  • A Shopify store login with permission to view, edit and cancel orders
  • An IPQualityScore account with credits available for fraud, email and phone checks
  • A General Input database to store the decision log, which comes with your workspace
  • Your ops or fraud reviewers, since every decision is recorded against the person who made it

How can I customize it?

  • Move the thresholds for what counts as suspicious or high risk if your store runs hotter or colder than the defaults
  • Change which orders enter the queue, for example only the last seven days or only orders above a certain value
  • Decide which checks run on every order automatically and which ones only run when a reviewer asks for them, to control how fast credits get used
  • Adjust the tag and note wording that gets written back onto held orders so it matches how your team already labels things

FAQs

Will this cancel orders by itself?
No. Nothing is ever cancelled automatically. The app scores orders and can recommend an action, but a reviewer has to confirm before anything is cancelled, tagged or changed in your store.
What do the risk scores actually mean?
Scores run from 0 to 100. Anything from 75 up is treated as suspicious and worth a look, and 90 and above is treated as high risk. You can move both thresholds to match how much risk your store is willing to take.
Does checking orders cost money every time I open the queue?
Each fraud, email and phone check uses IPQualityScore credits, so results are saved the first time an order is scored and reused after that. Your remaining credits are shown on the page, and you can force a fresh check on a single order when you want one.
Can several people on my team use it at once?
Yes. The queue is shared, and every release, cancel, tag and note is recorded against the reviewer who made it, along with the reason they gave and the risk score at the time.
Do I need a special Shopify plan for this?
No. It works with a standard Shopify store. You just need an account with permission to view orders and to cancel and edit them.
What does the Research button do differently from the score?
The score is a set of automated checks. The Research button sends an assistant to run the full set of checks, read that buyer's order history, weigh it all up and write a short plain-English verdict with a recommended action, which you can accept or overrule.

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