No waiting period
Scoring is useful from the day you install, before your store has any history of its own. There is nothing to train and nothing to configure first.
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Join VerafoHow it works
Verafo sits between the order and the shipment. It reads the phone number, resolves it against a buyer graph built from every connected store, and tells you what is likely to happen at the door while you can still do something about it.
Six steps
Two minutes to install. After that the system runs itself and the only thing you touch is the decision on a flagged order.
One click from the Shopify App Store. No developer, no Shopify Plus, no theme edits, no code.
Webhooks capture every new order the moment it is placed. You do nothing.
Before payment methods show at checkout, the phone number resolves to a buyer profile across the network.
SAFE, RISKY, or UNKNOWN. Plain language, with the signals that moved the score.
Risky buyers do not see cash on delivery. Everyone else checks out exactly as before.
A buyer flagged at one store is scored before they order at the next. The graph compounds.
The scoring model
A blocklist can only say no to buyers somebody already caught. Verafo scores buyers nobody has ever seen before, by recognising which known behaviours they resemble.
Scoring is useful from the day you install, before your store has any history of its own. There is nothing to train and nothing to configure first.
A buyer with no history is scored as UNKNOWN rather than risky, then reassessed as their own orders and outcomes accumulate.
The score has to exist before the payment methods render. That is a hard latency budget, and Founder One carries it as a written guarantee.
The rules engine
Five rule types, all on one screen, and each one shows its expected impact before you save it. Nothing is decided behind your back.
Hide COD for high-risk buyers only, or for both medium and high. The most common starting point.
Set a ceiling above which COD switches off. Large baskets carry the largest losses when they come back.
Enter the postal codes and cities where refusals cluster in your own data. Address intelligence does the rest.
Mark product types or collections that should always be prepaid. Some categories simply travel worse than others.
If a phone number has refused a delivery anywhere in the network, COD is hidden regardless of every other rule.
Smart COD protection turns on with safe defaults, a transparency notice explains exactly what data Verafo reads and why, and a confirmation screen shows checkout is protected. You can fine tune from the Rules page at any point afterward.
No new workflow to learn and nothing for your team to operate. Install it, set your rules once, and let it work quietly in the background.
The hard part
Shopify marks an order fulfilled the moment it ships, not when the buyer pays for it. Treating those as the same thing would train the model on false labels, so Verafo collects real outcomes instead.
Accepted or refused, straight from the dashboard. Available from day one, costs nothing, and the dashboard prompts you when outcomes are pending.
Upload courier reports or forward them by email, and Verafo reconciles them against your orders automatically so you do not have to mark anything by hand.
A short message asks the seller to confirm the outcome with a reply. Only structured metadata is used. Message content is never read, stored, or processed.
Upload past orders as a CSV so scoring does not start from zero. Phone number and store name are required. Category, product, price, quantity, address, city, order date, outcome and resolution date all sharpen the picture, and scores recompute automatically once the file lands.
Ten minutes to install, thirty days to find out whether it paid for itself. If it did not save you a single cash on delivery return, the next 90 days cost you nothing.
Connect your store and the first score lands within minutes. Import your history and it lands immediately.