Returns Risk Intelligence

The Risk Bureau for Returns & Refunds.

ANTM.ai is a shared behavioral intelligence network for post-purchase risk, giving merchants consistent, explainable scores on returns and refund claims—before every decision.

Built for e-commerce, marketplaces, and delivery platforms worldwide.

0–1000
ANTM Score range
<50ms
Decision latency
3 bands
Risk tiers
antm.ai · risk bureau · v2.1
JM
Jane M.
j****@gmail.com
LOW RISK
ANTM Score
782
Low Returns Risk
HighMediumLow
Auto-approve refund
Order historyStrong
Claim rate (30d)4.2%
Approval rate97%
Return Rate
4.2%
Claim Abuse Flags
0
Network Signals
Clean

Built on behavioral signals from across the network · Purpose-built for returns & refund decisions

Major Retailers
Delivery Platforms
Online Marketplaces
Specialty E-Commerce
Big-Box Stores
Enterprise-ready
Audit-friendly logs
Global merchant focus
Real-time decisions
The Parallel

Scoring changed lending. Now it’s changing refunds.

Structured risk scores transformed how lenders price decisions—replacing gut calls with consistent, data-driven signals. ANTM.ai brings that same discipline to returns and refund risk, giving merchants an objective behavioral score before every claim decision.

720/ 1000
Traditional scoring
Same
discipline
782/ 1000
Returns & refund risk
New category: Returns risk scoring
Network-level aggregation
Behavioral signals pooled across merchants and platforms.
Explainable reason codes
Every score comes with traceable factors.
Policy-aligned decisions
Approve, escalate, or restrict—consistently.
Why ANTM.ai

Built for high-volume merchants and platforms.

Margin Protection

Lower refund losses without punishing good customers.

Automatically approve refunds for your best customers while applying tighter controls where abuse is detected. Protect margins and improve ROI without degrading the experience for good actors.

Abuse reductionUp to 35%
Reliability

Institutional-grade reliability for returns decisions.

Consistent, explainable, and auditable scores—structured like a risk report, not a gut call. Every decision is backed by traceable reason codes so your team can defend any outcome with confidence.

Decision consistency99.9%
Network Intelligence

Network intelligence across brands and apps.

Shared behavioral signals catch repeat abusers moving between merchants and delivery apps. The more merchants contribute, the sharper the network's view of cross-platform risk.

Cross-merchant signalsNetwork-wide
The Data Pipeline

How ANTM.ai powers every decision.

Five steps from raw event data to data-driven risk decisions, in under 50ms.

Step 01

Ingest events from your systems

Orders, returns, refunds, and claim outcomes stream in via our simple API—no complex ETL required.

Event Stream
order.created
claim.opened
refund.issued
claim.resolved
Step 02

Build behavioral profiles

Time-windowed views of spend, claims, approvals, and fraud indicators form a behavioral risk profile for each user.

Behavioral Profile
30d claim rate: 4.2%
90d spend: $1,240
Approval rate: 97%
Fraud flags: 0
Step 03

Score risk in milliseconds

An ANTM Score (0–1000) and claim risk (0–1) per user and claim are computed in under 50ms, ready for real-time decisions.

Risk Score
ANTM Score: 782
Claim risk: 0.04
Band: Green (Low)
Latency: <50ms
Step 04

Drive policy-aligned decisions

Approve automatically, request documentation, or route to manual review—consistently mapped to your risk policies.

Decision
→ Auto-approve refund
→ Request receipt
→ Manual review
→ Restrict credits
Step 05

Continuously refine risk views

As new outcomes and events enter the system, behavioral profiles and scores update automatically—the model gets sharper over time.

Model Refresh
Score updated: now
Profile age: fresh
New events: +3
Risk delta: -0.02
Decision Bands

Risk bands that map directly to your policies.

Three clear tiers—each mapped to a recommended policy action—so every decision is consistent, explainable, and defensible.

High (0)Medium (400)Low (700+)
700–1000

Low Returns Risk

Like your prime borrowers

Auto-approve most refunds and streamline CX for your best customers.

  • Auto-approve most refunds instantly
  • Streamlined CX for highest-value customers
  • Minimal friction in return flow
~
400–699

Moderate Risk

Borderline profiles

Ask for proof (photos, receipts) or limit refund types for borderline accounts.

  • Request supporting documentation
  • Limit high-value refund types
  • Escalate unusual claim patterns
!
0–399

High Risk

Repeat abuse behavior

Require manual review or restrict refunds and credits for high-abuse profiles.

  • Route to manual review queue
  • Restrict refunds and store credits
  • Flag for cross-network monitoring
Industry Use Cases

Designed around modern returns realities.

Consumers expect generous return windows and frictionless refunds. ANTM.ai helps you keep that promise sustainably.

Big-box & specialty retail
ApparelElectronicsHigh return rates

Protect margins on high-return SKUs without hurting loyal shoppers.

Return rates average 16–20% for apparel and electronics. With ANTM.ai, you extend generous return windows only to customers whose behavior justifies it—meeting consumer expectations while protecting margins.

28%
Avg return rate reduction
On-demand delivery
Food deliveryGroceryQ-commerce

Distinguish genuine 'not delivered' claims from repeat abuse patterns.

High-frequency claim abuse is a defining problem for delivery platforms. ANTM.ai's cross-network signals identify repeat abusers—even those rotating between apps—while protecting legitimate customers with genuine issues.

40%+
False claim detection
Online marketplaces
Third-party sellersBuyer protectionRisk sharing

Balance buyer protection programs with fair treatment of sellers.

Marketplace buyer protection creates a triangle of risk across buyers, sellers, and the platform. ANTM.ai helps allocate that risk fairly—flagging serial abusers so seller-funded protection funds aren't drained by a small cohort of bad actors.

Top 3%
Abuse cohort identified
Client Perspectives

Trusted like a bureau.
Relied on by ops teams.

We needed a returns risk layer that delivers consistent scores, traceable reason codes, and cross-network signals. ANTM.ai is exactly that. Our ops team treats it like a structured risk report for every refund decision.
VR
VP Risk & Trust
Large Online Marketplace
Enterprise-ready
Audit-friendly logs
Data-driven risk controls
SOC 2 Ready
Governance

Governance and oversight worthy of a bureau.

Enterprise-grade controls that demanding operators require—granular RBAC, immutable audit trails, and privacy-first network intelligence designed for regulated markets globally.

Granular roles for every function

Super Admin, Tenant Admin, Analyst, Support, Developer—enterprise-grade access controls for every function in your organization.

Super AdminAnalystSupportDeveloper

Traceable decisions

Every score and decision comes with reason codes and a full audit trail—so compliance, legal, and ops can reconstruct any outcome.

Reason codesAudit trailImmutable logs

Privacy-respecting network intelligence

Cross-tenant pattern detection using hashed identifiers. No PII shared across tenants—only aggregated behavioral signals.

Hashed IDsTenant isolationNetwork signals
RBAC
Audit Logs
Network
SOC 2
Hashed IDs
Isolation
For Every Team

One bureau, many stakeholders.

Portfolio-level view of returns risk—the same rigor applied to any operational metric.

See the full distribution of ANTM Scores across your customer base. Identify high-risk cohorts, track score trends over time, and correlate risk bands with actual loss outcomes—the same workflow your finance and ops counterparts use.

Risk Heatmap
Green band (700–1000)
62%
Yellow band (400–699)
28%
Red band (0–399)
10%
Portfolio loss avoided (est.)$1.2M / qtr
Returns Risk Intelligence

Ready to bringdata-driven rigorto your returns?

See how a systematic, behavioral approach to returns and refunds can protect your margins and upgrade your customer experience.

Built for merchants, marketplaces, and delivery platforms who treat returns risk as a first-class operational metric.

No long-term contracts
Live in days, not months
Enterprise SLA available
Merchant-focused