Tailed AI Fraud Prevention

Real-time return fraud detection technology.

free· for mid-market

Tailed flags suspicious return requests before Shopify merchants auto-refund them, targeting the wardrobing, empty-box, and serial-refunder patterns that leak margin through Loop Returns and Narvar workflows. The tool scores orders in real time, surfaces fraud indicators in a review dashboard, and hands ops teams a decision point instead of a chargeback. Built for DTC brands and returns managers watching refund abuse climb faster than legitimate return volume.

> pick this if

Pick this if you're a Shopify DTC brand already running Loop or Narvar, watching refund-abuse rates outpace return growth, and want a pre-refund review step without signing a per-transaction fraud contract.

> look elsewhere if

Look elsewhere if you need payment/CNP fraud coverage, operate off Shopify, run a marketplace or wholesale model, or require SOC 2-backed enterprise risk tooling with SLAs and financial guarantees like Signifyd or Riskified.

> Tailed AI Fraud Prevention is built for

DTC apparel & fashion
DTC beauty & cosmetics
sporting & outdoor

> what it does for ecommerce

Flag suspicious return requests before automated refund rules execute them
Score Shopify orders in real time using behavioral fraud signals
Review flagged cases inside a dashboard showing fraud indicators
Sync directly with Loop Returns and Narvar return workflows
Deploy free, targeting DTC brands losing margin to serial refunders

> how you'd use it

DTC apparel brand, $5M–$20M GMV, 2–4 person ops team running Shopify + Loop Returns
Wardrobing and empty-box claims are climbing faster than legitimate returns; Loop's auto-approve rules refund before ops can inspect
→ Flagged orders drop into a review queue pre-refund, cutting abusive refund payouts by double digits without adding headcount
Footwear or accessories brand, $10M–$40M GMV, returns manager plus 3–6 CX agents on Narvar
Serial refunders recycle across email aliases and addresses; chargebacks hit weeks after the refund has already cleared
→ Behavioral scoring catches repeat-offender patterns at request time, shifting losses from post-chargeback write-offs to prevented refunds
Emerging Shopify DTC brand, <$3M GMV, founder-led ops with 1–2 part-time CX contractors
No budget for Signifyd or Riskified, but refund abuse is eating 2–4% of revenue as the brand scales into paid acquisition
→ Free deployment gives a first line of fraud triage on returns without a procurement cycle or a seat-based contract

> Tailed AI Fraud Prevention use cases

> Tailed AI Fraud Prevention key features

Smart Fraud Flagging: Automatically detect and flag suspicious orders for review
Visual Fraud Dashboard: Intuitive display of flagged orders / fraud indicators
Shopify Sync: Real-time data integration for up-to-date fraud prevention

> integrates with

Loop Returns
Narvar

> how tailed ai fraud prevention compares

bidirectional editorial

Frate Returns and ResaleFrate is a full returns platform with resale and exchanges; Tailed is narrower, acting as a fraud-scoring layer on top of existing returns stacks.freemium

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