Every year, U.S. ecommerce brands process over $240 billion in returned merchandise.

Read that again. $240 billion. Not in sales. In products coming back through the door.

For most brands, returns are a tax. A cost you pay to stay competitive. You offer free returns because Amazon trained customers to expect it and because your conversion rate dips if you don't. Then you absorb $15 to $30 in processing costs for every single item that comes back. Multiply that by your return rate and it gets ugly fast.

Redo just raised $80 million because there is a better model. One that turns the return moment from a cost center into a revenue line. And most brands haven't touched it yet.

Here is a quick exercise.

Take your annual revenue. Multiply by your return rate (25-30% is the DTC average). Multiply that number by $20 (conservative processing cost per return). That is what returns cost you every year in direct costs alone. Before you account for the inventory that cannot be restocked at full price.

Industry data shows fewer than half of returned items are ever resold at full price. Everything else gets sold at a discount, liquidated, donated, or destroyed. So every return carries two costs: the $15-$30 you spend processing it, and the margin haircut on the second life of that item.

For a brand doing $10 million in annual revenue with a 25% return rate, you are looking at roughly $500,000 per year in direct processing costs. Before fraud.

And fraud is its own problem. For every $100 in returns accepted, brands lose about $13.70 to fraudulent returns on average. A small percentage of your customer base accounts for a wildly outsized share of that number.

You are subsidizing a system that does not work. And the customer on the other side of it expects it to be free.

Redo's original insight was simple. And it changed their entire business model.

Offer customers a small add-on at checkout. $1 or $2 to cover return shipping if they need it later. If they use it, Redo pays for the $8-$10 label. If they don't, Redo keeps the fee.

This one move does several things at once. It makes the cost of returns predictable for the brand instead of variable. It removes purchase hesitation for the customer (shoppers who know returns are covered convert at higher rates). And it shifts the returns budget from a sunk cost to a managed expense.

That checkout add-on model is now widely copied across the industry. Redo has kept building on top of it. Today they cover returns, warranties, chargebacks, order tracking, AI support, email and SMS, shipping, inventory, and order editing. Four acquisitions in recent years (Malomo, Contextual, ReturnBear). Named to Forbes' 2025 Cloud 100 Rising Stars. Now on the ChatGPT App Store.

The $80 million raise is not a bet on returns software. It is a bet on owning the entire post-purchase experience. Brands that figure out this layer of their business will have a structural margin advantage for the next decade.

The brands winning on returns in 2026 are not just absorbing them more efficiently. They are monetizing the return moment.

When a customer initiates a return, that is a high-intent touchpoint. They are in your portal. They are thinking about your brand. They are making a decision. Most brands treat that moment as a problem to resolve as fast as possible. Get the refund out. Move on.

The better play is exchange-first logic. When someone starts a return, you immediately surface an exchange option with an incentive. Store credit. A small bonus. Access to a new colorway. Industry data consistently shows that customers who exchange have materially higher lifetime value than customers who receive a refund. You are not just recovering revenue. You are identifying and retaining your best customers.

The other piece is data. Every return tells you something about your product, your photography, your sizing guide, or your packaging. A 30% return rate driven by "does not fit" is a sizing and description problem. A 30% return rate driven by "item arrived damaged" is a carrier or packaging problem. The fix is different in each case. But you can only see it if you are collecting the data in the first place.

Audit your return reason breakdown. If you are not categorizing why customers return, start today. Even a basic breakdown (wrong size, not as expected, changed mind, arrived damaged) will show you where to focus first.

Add a return protection fee at checkout. A $1-$2 opt-in that covers return shipping is one of the lowest-friction tests you can run this week. Customers who opt in convert at higher rates and cost you less when they return. It is also a signal about customer intent you can use in segmentation later.

Start measuring your exchange rate. The percentage of returns that convert to an exchange instead of a refund is probably one of the most undertracked metrics in your business. Set a benchmark. Even a 10-point improvement in exchange rate has a direct impact on LTV that compounds over time.

Create a separate policy for high-risk accounts. If you are not applying any friction to accounts with abnormal return patterns, you are leaving fraud prevention on the table. Basic policy differences for serial returners (photo verification required, shorter window, no free return shipping) can meaningfully cut your fraud exposure without penalizing your best customers.

Returns are not going away. Customer expectations around them are not getting easier. The brands that build a real returns operation instead of just absorbing the cost are going to have a structural margin advantage over the next few years.

Redo just raised $80 million. The opportunity they are betting on is sitting in your checkout flow right now.