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.
.png)
Trusted By:
new-customer-only
and other promo abuse rates
on
Investement
How it Works
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
Medium score
High score
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
Advanced machine learning detects multi-actor fraud through integrated analysis of consortium data, models, risk heuristics, and graph recommendations.
Solutions
What else do we offer?
Adaptative Return Engine
Prevent abuse and fraud while rewarding loyal customers. AI adds friction only for risky activity, enabling trusted users to enjoy smoother experiences and greater perks.
Smart Returns Receiving
Intelligent return processing identifies legitimate versus fraudulent returns, helping warehouse teams prioritize their handling.
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.