Dynamic Order Optimization

Screen Orders
Before Fulfillment

Secure orders with pre-fulfillment screening. Advanced AI tools detect card fraud, reseller abuse, coupon fraud, and other fraudulent activities in real-time – outperforming traditional fraud prevention systems.

Trusted By:

~3% +
Of top-line growth by offering standout return experiences for trusted buyers at Checkout
Up to 50%
Reduction in
new-customer-only
and other promo abuse rates
5x - 10x
Return
on
Investement

How it Works

VIP Customers

Trusted and responsible shoppers whose transactions require seamless approval to maintain a positive experience. Uplevel to superior return and refund policies before order placement.

Internal Users
Known Good Resellers
High Spend Customers
Low Abuse Propensity

Resellers / Bracketers

Accounts purchasing in bulk or redirecting items for resale may seek unfair advantages or evade restrictions. Identify and proactively contact bracketers to resolve sizing confusion.

Bot Traffic
High Velocity Purchases
Synthetic Accounts
Address Mismatch
Size Bracketing

Promo Abusers

Individuals who take advantage of promotional discounts with the intent of unfair gain. Identify such behavior and preserve promotional integrity while maintaining secure and fair transactions.

Promo Users
New User Signup Code Abuse

Repeat Abusers

Accounts with a history of confirmed fraudulent activity, such as chargebacks or policy abuse. Automatically increase friction or block orders associated with these accounts or linked entities.

Repeat Return Abusers
Repeat INR Abusers
Egregious Resellers
Payment Fraud Abusers

VIP Customers

Resellers / Bracketers

Promo Abusers

Repeat Offenders

  • Order fullfilled
  • No friction
  • Superior return & refund policies at checkout
  • Cancel order
  • Cancel order or flag for review
  • Cancel order
  • Deny promo code use

Features

What do we offer?

Bot Detection

Detects bots by analyzing behavioral patterns and anomalies across sessions. We use machine learning to flag non-human interactions, like scripted return requests or rapid-fire actions.

Device and Location Fingerprinting

Analyzes device type, IP address, and location data in real-time, enabling e-commerce businesses to instantly identify and block suspicious activity.

Customer 360

Consolidate customer data from every touchpoint into a single, unified profile. Leverage real-time insights, advanced analytics, and customizable rules to identify and mitigate fraudulent activities.

Custom Alerts

Configure automated guardrails to alert customer support on high-risk return requests

Low score
15
VIP Customer - Extended Return Window
Medium score
60
Bracketing Risk - Contact Customer
High score
92
Repeat Abuser - Cancel Order

Use Cases

Common types of refund fraud and abuse

Return fraud spans a broad spectrum, from genuine customer errors to large-scale operations conducted by organized crime groups.

Promotion Abuse

Fraudsters misuse or bulk purchases discounts/coupons. Prevent misuse; ensure only real customers benefit.

Reseller Abuse

Unauthorized reselling for arbitrage. Restrict using purchase patterns linked to pricing or inventory limits.

Reshipper Abuse

Masking identity with third-party addresses. Detect and block such mismatched profiles.

Bracketing

Customers order excessive sizes, variations to return most. Flag orders and trigger proactive interventions.

Payment Fraud

Fraudsters use stolen payment instruments to make purchases. Sometimes manifest as carding attacks resulting in chargebacks.

BOGO / BMSM Abuse

Abusers return free or discounted items to exploit discounts. Block such abuse by tracking linked items.

Network Intelligence

Analyze over 100 data points, enriched by a comprehensive cross-customer intelligence, against fraud indicators.

Advanced machine learning detects multi-actor fraud through integrated analysis of consortium data, models, risk heuristics, and graph recommendations.

Frequently Asked Questions

Got Questions? We’ve got Answers

What does Pinch AI do?

Pinch AI helps retailers optimize the post-purchase experience by using artificial intelligence to segment customers, reduce return abuse, and improve operational efficiency. By combining behavioral intelligence, machine learning, and deep knowledge of fraud tactics, Pinch identifies and prevents abusive behaviors—like serial returns—while recognizing and rewarding high-value, loyal customers.

How can I tell if my business is experiencing return abuse?

Common signs of return abuse include:

  • A high volume of returns or disputes for the same items over time
  • Increased reports of damaged, missing, or used products arriving at your warehouse
  • A noticeable spike in return-related queries to your customer service team
  • An uptick in payment disputes or fraud claims

Is Pinch AI right for my business?

Pinch AI works best with retailers processing over $50M in annual GMV, especially in verticals like Apparel, Footwear, Luxury, Consumer Electronics, Home & Kitchen Appliances, and Durable Goods. That said, we also support fast-growing businesses below that threshold—especially if you're seeing return rates creep into double digits.

What does integration with Pinch AI look like?

Pinch AI supports two types of integrations:

  • App-based: Available for popular e-commerce platforms like Shopify, with plug-and-play installation that takes just minutes.
  • API-based: REST APIs for custom storefronts. Integration typically takes 2–4 weeks, depending on the availability of your technical team.

We also integrate seamlessly with leading RMS and WMS solutions to ensure smooth implementation.

How do I measure the impact of Pinch AI?

Our real-time dashboards track key performance indicators (KPIs) so you can measure the impact of Pinch from day one. Typical results include:

  • Reduction in return abuse
  • Higher restocking and resale rates
  • Lower return-related operational costs
  • Increased automation across the returns process

What is Pinch AI’s pricing model?

Pinch AI is priced to deliver a net positive economic impact for merchants.

  • For SMBs using our turnkey app integrations, pricing is based on a per-order usage fee.
  • For enterprise customers using our REST APIs, pricing includes per-order volume-based discounts. Additional fees apply for integration, maintenance, and overages.