YOUR RETURNS
KNOW WHERE YOUR MARGIN WENT

The first closed-loop enterprise AI platform that prevents profit-eroding retail returns

See it in Action Find Your Use Case
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Returns cost retailers billions
in lost margin and CLV

One in every 5 products shipped today will come back Processing costs can wipe out 2/3 of an item’s value Up to 70% of preventable returns are hidden in siloed data

Returns prevention is the game changer that retail’s been waiting for

Because the best return is the one that never happens

Returns management software and BI tools tell you what returns happened. Returnalyze tells you why, turning AI-powered insights into automated role-based actions that stop costly returns before they happen.

Learn How It Works

Returnalyze normalizes and synthesizes billions of structured and unstructured signals into one clear, connected view.

Turn billions of intersecting data signals into clear and continuous root-cause return intelligence in hours, not days or weeks.

Automated insights cut through the noise, identifying the specific SKU-level issues driving returns, and the estimated revenue opportunity if addressed.

Recommended actions are prioritized by financial impact and routed to the right teams with clear next steps.

Returnalyze tracks every action taken so you can see what’s working, what’s next, and the revenue being recovered.

An enterprise AI returns intelligence platform that delivers

Because every retailer wants profitable growth

20%
avg. returns
reduction
5-8%
avg. AOV
improvement
4%
avg. incremental
revenue
10-30%
avg. customer
lifetime value lift

Built for the teams who run retail

Because success doesn’t live in silos

Enterprise Value Plays

Strategy

Expose returns-driven
profit risk

Finance

Manage margin
impact at scale

Operations

Reduce costly
return handling

eCommerce

Increase buyer trust
and conversion

Merchandising

Improve assortment,
inventory and buys

Product Dev

Build products
that customers keep

Supply Chain

Identify quality
control issues

Customer Experience

Minimize buyer-
journey friction

Marketing

Multiply ROI with
sales that stick

Enterprise‑ready out of the box

Because confidence and security shouldn’t be optional

Fast & Easy

Rapid deployment and ease of use drives unmatched time to value

Supported

Our experts help keep your returns prevention playbook profit-focused

Connected

Built for scale, Returnalyze works with your existing tech stack and data feeds

Safe & Secure

SOC 2 certified for trusted security, availability, and processing integrity

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Surfacing the Unexpected Ways BTS Buyers Will Cost More to Serve

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Frequently Asked Questions

Retailers need returns prevention because it directly protects margin, improves customer experience, and reduces fraud, turning a massive cost center into a controllable, predictable part of the business. Returns reached $850B in recent years, and 70% of returns are preventable, making prevention one of the highest‑impact levers in modern retail.

Returns decision intelligence in retail is the capability to predict, explain, and reduce product returns using AI, operational, customer and behavioral data, and SKU‑level insights, turning a historically reactive cost center into a proactive driver of margin, loyalty, and fraud reduction. It shifts retailers from “process the return” to “prevent the next one,” and from blanket policies to precision actions grounded in real data.

Highly tuned AI models analyze billions of intersecting data points across product attributes, customer behavior, returns reasons, logistics and fulfillment, suppliers, and buyer sentiment. This allows Returnalyze to detect patterns, predict risk, and prioritize fixes, helping retail teams take action before returns escalate.

Returns prevention is more effective than tightening return policies because prevention fixes the underlying issues, while stricter policies simply shift the burden onto the customer. Policy changes don’t stop sizing inconsistencies, quality defects, inaccurate PDP content, or fulfillment errors; they just make customers pay the price for problems the retailer hasn’t solved.

Retailers typically begin seeing ROI from a returns prevention strategy within the first 30–90 days because prevention fixes problems upstream, not after the return has already happened. Once product, order, and returns data is connected, insights start flowing immediately, and early interventions begin reducing avoidable returns within the first few weeks.

Your returns data is talking.
Are you listening?

Book a Meeting

Get the 2025 Peak-Season Returns Performance Report 

Platform

Product Overview
Setup & Onboarding

Capabilities

Unified Data
Root-Cause Analysis
Customer Behavior
Automated Actions
Closed-Loop Tracking
Chat AI Analytics
Retail Benchmarks

Results

Profit Drivers
Measured Impact

Value Plays

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Operations
Merchandising
Product Development
eCommerce
Customer Experience
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